International Competition "Open Doors: Russian Scholarship Project" for Prospective Graduate Students

1. Job quality
2. Inequality of opportunities
3. Post-communist capitalism
4. Human capital investments

1. Job quality dynamics before and after COVID-19
2. Inequality of opportunities in post-transition economies
3. Flexible employment and human capital investments
4. How has COVID-19 effected employment relations in post-transition economies

Human capital and job quality:

Job quality, human capital and socio-economic inequalities in post-transition economies

• Econometrics (advanced)
• Programming in R/Python (at least moderate)

1. Anikin, V.A. (2021) Training poverty in India: Reassessing the effect of social ascription. International Journal of Training and Development. (Forthcoming) DOI: 10.1111/ijtd.12231
2. Anikin, V., Lezhnina Yu., Mareeva S., Slobodenyuk E. (2020) The Factors behind the Demand of Russians for the State Support. Mir Rossii, vol. 291, pp. 31–52. (in Russ.). DOI: 10.17323/1811-038X-2020-29-1-31-52
3. Slobodenyuk E.D., Anikin V.A. (2018) Locating the “poverty threshold” in Russia. Voprosy Ekonomiki, 1: 104–127. (in Russ.)  DOI: 10.32609/0042-8736-2018-1-104-127
4. Anikin V.A. (2018) Human capital in post-crisis Russia: state and impact. Journal of Institutional Studies, 10(2), 90-117. (in Russ.)  DOI: 10.17835/2076-6297.2018.10.2.090-117
5. Anikin V.A. (2017) Occupational propensity for training in a late industrial society: Evidence from Russia. International Journal of Training and Development, 21(4), 249-284. DOI: https://doi.org/10.1111/ijtd.12106

There is a discrepancy between the knowledge society and the knowledge economy. It is identified in deskilling trend and low demand for human capital and training poverty. In post-transition economies like Russia and India, good and bad jobs are highly likely to mediate investments and returns to human capital by increasing local inequalities.

1. Long-term economic growth and structural shifts in the USSR and the CIS since 1960.
2. Historical statistics
3. Cross-country comparisons of sources of economic growth at the sectoral level

1. Economic growth and structural shifts in the Russian economy in a comparative perspective
2. Productivity shocks, intersectoral interactions and economic growth
3. Measurements of fixed assets taking into account intangible assets
4. Sources of labor productivity growth

Long-term economic growth and productivity

For many decades the economy of development and growth has been dealing with the causes of the heterogeneity of development of different countries. For a long time, empirical research of this kind was carried out at the level of economies as a whole. However, the sources of growth in industries can be very different in nature. For example, the growth drivers of agriculture can differ significantly from financial services. A limitation of industry-specific studies was the lack of comparable data at the industry level. The appearance of such data sets in the early 2000s. gave a powerful impetus to such works and gave rise to an extensive literature.
Of particular interest in this area is the Russian economy with its unique history, significant place in the global division of labor and role in the post-Soviet space. Both the modern Russian economy, and, moreover, the USSR and the union republics, until 1990, were studied extremely poorly in this sense - primarily due to the peculiarities of domestic statistics. However, overcoming measurement problems and relying on the extensive statistics that are being developed now and inherited from the USSR open up unique opportunities for research and applied work.

The work is carried out on the basis of the Center for Productivity Research at the Higher School of Economics (https://www.hse.ru/org/hse/expert/cps/). The PHD student may be given the position of a fellow researcher and provided additional financial support.

The center is integrated into the international consortium World KLEMS (https://scholar.harvard.edu/jorgenson/conference-program). This ensures the involvement of the sources of growth and productivity in research at the modern level and the expansion of scientific contacts.

• Economic Education. Knowledge of the basics of microeconomics, macroeconomics and econometrics.
• English sufficient for reading, preparing scientific publications and presenting reports at conferences and seminars.

1. Voskoboynikov, Ilya B. “Accounting for Growth in the USSR and Russia, 1950–2012.” Journal of Economic Surveys 35, no. 3 (2021): 870–94. https://doi.org/10.1111/joes.12426.
2. Воскобойников, И. Б., Э.Ф. Баранов, К.В. Бобылёва, Р.И. Капелюшников, Д.И. Пионтковский, А.В. Толоконников, and А.А. Роскин. “Постшоковый рост российской экономики. Опыт кризисов 1998 и 2008-2009 годов и взгляд в будущее.” Вопросы экономики, № 4 (Апрель 2021): 5–31. https://doi.org/10.32609/0042-8736-2021-4-5-31.
3. Voskoboynikov I. Structural change, expanding informality and labor productivity growth in Russia // Review of Income and Wealth. 2020. Vol. 66. No. 2. P. 394-417.
4. Voskoboynikov I. Sources of long run economic growth in Russia before and after the global financial crisis // Russian Journal of Economics. 2017. Vol. 3. No. 4. P. 348-365.
5. Timmer M., Voskoboynikov I. Is Mining Fuelling Long-Run Growth in Russia? Industry Productivity Growth Trends in 1995–2012, in: Jorgenson, D., Timmer M.P., Fukao K. (eds.) Growth and Stagnation in the World Economy. Cambridge University Press, 2016.. Cambridge University Press, 2016. P. 281-318.

1. Head of Project M2F 2013-2016 (young researcher Region Auvergne)
2. Member of A NR DISTANCIA, ANR GAG, ANR HOSIGRA...

1. Metric Graph Theory
2. Formal Concept Analysis

Metric Graph Theory, Formal concept Analysis, Querying Graph-database:

Studying the possible imports from continuous topology to discrete metric spaces induced by graphs. Studying recognition of Formal contexts issued from convexity in graphs and searching for applications. Databases are shifting to graph database and developing fast algorithms to solve queries on such DB.

Potential collaborations with international colleagues (France, Canada, Chile).

Potential co-supervising with France

• Strong math knowledge and programming skills

1. Beaudou L., Devroye L., Hahn G.A lower bound on the size of an absorbing set in an arc-colored tournament // Discrete Mathematics. 2019.Vol.342.No.1.P.143-144
2. Beaudou L., Foucaud F., Naserasr R. Homo morphism bounds of signed bipartite K4-minor-free graphs and edge-colorings of 2k-regular K4-minor-free multigraphs //Discrete Applied Mathematics. 2019.Vol.261. P.40-51
3. Beaudou L., Dankelmann P., Foucaud F., Henning M.A., Mary A., Parreau A. Bounding the Order of a Graph Using Its Diameter and Metric Dimension: A Study Through Tree Decompositions and VC Dimension // SIAM Journal of Discrete Mathematics. 2018. Vol.32. No.2. P.902-918.
4. Beaudou L., Nourine L.,Mary A. Algorithms for k-meet-semidistributive lattices // Theoretical Computer Science. 2017. Vol.658. P.391-398.
5. Beaudou L., Foucaud F., Naserasr R. Homomorphism bounds and edge colourings of K4-minor-free graphs // Journal of Combinatorial Theory. Series B. 2017. Vol.124. P.128-164.

1. 2013 Russian Foundation for Basic Research grant 13-01-12449 "Slow dynamical chaos'' (participant)
2. 2012 Russian Foundation for Basic Research grant 12-01-33020 "Methods of Complex Analysis in Dynamical Systems'' (grant holder)
3. 2011 Ministry of Education and Science grant MK-2790.2011.1 "Topological and symbolic models for one-dimensional and two-dimensional dynamical systems'' (grant holder)
4. 2011 Russian Foundation for Basic Research grant 11-01-00654-a "One-dimensional dynamical systems and Teichm\"uller spaces'' (grant holder)
5. 2010 Russian Foundation for Basic Research grant  10-01-00540-a "Cohomology of spherical varieties and Newton polytopes'' (participant)

Geometry and dynamical systems

• geometry: convex polyhedra, toric varieties, projective differential geometry, classical geometric structures
• dynamics: rational functions, surgery, invariant lamination
• quadratic forms

All research projects are global and assume collaboration with leading research groups outside of the RF

1. Статья Blokh A., Cheritat A., Oversteegen L., Timorin V. Location of Siegel capture polynomials in parameter spaces // Nonlinearity. 2021. Vol. 34. No. 4. P. 2430-2453.
2. Статья Timorin V., Ptacek R., Oversteegen L., Blokh A. Laminational models for some spaces of polynomials of any degree // Memoirs of the American Mathematical Society. 2020. Vol. 265. No. 1288. P. 1-116.
3. Статья Alexander B., Lex O., Ptacek R. M., Timorin V. Models for spaces of dendritic polynomials // Transactions of the American Mathematical Society. 2019. Vol. 372. No. 7. P. 4829-4849.
4. Статья Blokh A., Oversteegen L., Ptacek R., Timorin V. Complementary Components to the Cubic Principal Hyperbolic Domain // Proceedings of the American Mathematical Society. 2018. Vol. 146. No. 11. P. 4649-4660.
5. Статья Blokh A., Oversteegen L., Ptacek R., Timorin V. Quadratic-like dynamics of cubic polynomials // Communications in Mathematical Physics. 2016. Vol. 341. No. 3. P. 733-749.

https://arxiv.org/search/math?searchtype=author&query=Esterov%2C+A

Algebraic and convex geometry

• algebraic geometry
• convex geometry
• theory of singularities
• tropical geometry
• algebraic combinatorics

The Faculty of Mathematics at the HSE University is one of the leading mathematical centers in Europe. Faculty members are leading experts in most of the areas of modern mathematics.

• undergraduate level algebra
• linear algebra
• real and complex analysis
• basic topology

1. Article Esterov A. I., Lang L. Braid monodromy of univariate fewnomials // Geometry and Topology. 2021 (in press)
2. Article Esterov A. I., Takeuchi K., Lemahieu A. On the monodromy conjecture for non-degenerate hypersurfaces. // Journal of the European Mathematical Society. 2021 (in press)
3. Article Казарновский Б. Я., Хованский А. Г., Эстеров А. И. Многогранники Ньютона и тропическая геометрия // Успехи математических наук. 2021. Т. 76. № 1. С. 95-190.
4. Article Esterov A. I. Galois theory for general systems of polynomial equations // Compositio Mathematica. 2019. Vol. 155. No. 2. P. 229-245.
5. Article Esterov A. I., Voorhaar A. Signs of the Leading Coefficients of the Resultant // Geometric and Functional Analysis. 2017. Vol. 27. No. 1. P. 33-66. 

2016-2020 grant of the Russian Science Foundation No. 16-11-10316 "Characteristic classes and representation theory" (project participant)

1. “Social and personal development of children in school and its impact on success and social progress of individual” (2016-2018)
2. "Social and emotional skills development in primary and secondary school, based on international Study of Social and Emotional Skills"(2019)
3. "Test development for social and emotional skills: Items development and criteria for its evaluation"(2019-2020)
4. “Measurement of main skills and competencies”(2020-2021)
5. “Educational neuroscience: new measurement approach”(2020-2021)

Specific questions of test development; comparative studies on different test forms (self-report, scenario scales, etc.); the validity of tests; subjective well-being in school.

• test development for measurement of psychological constructs in the context of education;
• new items' forms such as non-verbal, scenario-type scales for social-emotional skills and motivation in school-age children;
• reciprocal relationships between subjective well-being and social-emotional skills, motivation and academic achievement both in school-age children, university students, and adults;
• new project - development of new Russian comprehensive intelligence test considering psychometrics achievements such as computer adaptive testing and individual progress measurement.

The research under the supervision of Tatjana Kanonire supposes the work in the Center for Psychometrics and Measurement in Education and involvement in its' projects. The Center cooperates with leading foreign research centers and recognized experts from different countries of the world. The unique datasets on varying levels of education gathered by the Center could be available for dissertation research.

• proficiency in quantitative research methods
• fluent English – speaking and writing

1. Petrakova, A. V., Kanonire, T. N., Kulikova, A. A., & Orel, E. A. (2021). Characteristics of teacher stress during distance learning imposed by the COVID-19 pandemic. Voprosy Obrazovaniya, 1, 93-114 doi: 10.17323/1814-9545-2021-1-93- 114 (In Russ.)
2. Kanonire, T., Lubenko, J., Kuzmina, Y. (2020). The Effects of Intrinsic and Extrinsic Reading Motivation on Reading Performance in Primary School. Journal of Research in Childhood Education, DOI: 10.1080/02568543.2020.1822961
3. Kanonire, T., Federiakin, D. A., & Uglanova, I. L. (2020). Multicomponent framework for students’ subjective well-being in elementary school. School Psychology, 35(5), 321-331. http://dx.doi.org/10.1037/spq0000397
4. Kanonire T. N., Kulikova A. A., Orel E. A. (2020) Longitudinal Study of School-Related Subjective Well-Being among Primary School Students. Monitoring of Public Opinion: Economic and Social Changes. 4. pp. 447—465. https://doi.org/10.14515/monitoring.2020.4.921. (In Russ.)
5. Kanonire, T. (2019). Subjective Well-Being of Primary School Students with Different Achievement Levels. Psychology. Journal of Higher School of Economics, 16(2), pp. 378-390 (In Russ.; Abstr. in Engl.).

Total number of publications indexed in WoS and Scopus - 10

1. Postgraduate Experience at Research University (gradSERU)
2. Trajectories in Education and Profession (TROP)
3. Monitoring the economics of education (research in higher education and postgraduate studies)

1. Performance Factors for Postgraduate Studies
2. Comparative studies of postgraduate studies in different countries
3. Psychological well-being of undergraduate and graduate students

The sphere of scientific interests of the supervisor includes such areas as the study of student and postgraduate experience and its relationship with educational results, factors of psychological well-being of students and graduate students, comparative research of postgraduate studies in different countries, factors of the effectiveness of training in graduate school: selection for graduate school, interaction. with a supervisor, academic norms and socialization in the academic environment, career trajectories of graduate students

Research led by S.K. Bekova is expected to be involved in project work within the international team of the Center for the Sociology of Higher Education, partners of which are the University of California at Berkeley and Stanford University. The Center implements unique research with international participation, actively develops a network of Russian and international partnerships. In addition, the Center has accumulated a considerable amount of data, which allows working with empirical data from the first year of study.

• Educational background in the field of sociology or psychology
• Proficiency in quantitative data analysis methods and confident use of quantitative data analysis software (R or Stata)
• Strong command of spoken and written English

1. Bekova S. Does employment during doctoral training reduce the PhD completion rate? // Studies in Higher Education. 2021. Vol. 46. No. 6. P. 1068-1080.
2. Terentev E., Bekova S., Maloshonok N. Three challenges to Russian system of doctoral education: Why only one out of ten doctoral students defends thesis? // International Journal of Chinese Education. 2021. Vol. 10. No. 1. P. 1-10
3. Bekova, S.K., Terentev, E.A., Maloshonok, N.G. Educational Inequality and COVID-19 Pandemic: Relationship between the Family Socio-Economic Status and Student Experience of Remote Learning // Voprosy Obrazovaniya, 2021, 2021(1), стр. 74–92
4. Bekova S., Maloshonok N., Terentev E. Russia, in: The Making of Doctoral Supervisors. Routledge, 2020
5. Bekova S., Dzhafarova Z. Who is Happy in Doctoral Programs: The Connection between Employment and Learning Outcomes of PhD Students //Educational Studies Moscow. 2019.

1. Student Experience at Research University (SERU)
2. Quality of higher education in and after the pandemic
3. Monitoring of the economics of education (research of students and applicants for a master's program)
4. Transformation of the education system. New players, new roles, new ecosystem

1. Transformation of Master's Degree in the Post-Soviet Space
2. Ecosystem of post-secondary education. Role of universities

The study of the processes of transformation of the educational ecosystem: the emergence of new players, the change in the roles played by traditional actors, the formation of new relationships.
Transformation of master's studies, its role, demand, ongoing changes.

• Proficiency in quantitative data analysis methods and confident use of quantitative data analysis software (R or Stata)
• Strong command of spoken and written English

1. Bodovski, K., Chykina, V., & Khavenson, T. (2019). Do human and cultural capital lenses contribute to our understanding of academic success in Russia. British Journal of Sociology of Education, 40(3), 393–409. https://doi.org/10.1080/01425692.2018.1552844
2. Carnoy, M., Khavenson, T., Fonseca, I., Costa, L., & Marotta, L. (2015). Is Brazilian education improving? Evidence from PISA and SAEB. Cadernos de Pesquisa, 45(157), 450–485.
3. Carnoy, M., Khavenson, T., Loyalka, P., Schmidt, W. H., & Zakharov, A. (2016). Revisiting the Relationship Between International Assessment Outcomes and Educational Production: Evidence From a Longitudinal PISA-TIMSS Sample. American Educational Research Journal, 53(4), 1054–1085. https://doi.org/10.3102/0002831216653180
4. Dalmon, D. L., Fonseca, I., Avena, C. P., Carnoy, M., & Khavenson, T. (2019). Do students make greater achievement gains in some higher education institutions’ programs than others? Insights from Brazil. Higher Education, 78(5), 887–910. https://doi.org/10.1007/s10734-019-00376-6
5. Jackson, M., Khavenson, T., & Chirkina, T. (2020). Raising the Stakes: Inequality and Testing in the Russian Education System. Social Forces, 98(4), 1613–1635. https://doi.org/10.1093/sf/soz113
6. Morsy, L., Khavenson, T., & Carnoy, M. (2018). How international tests fail to inform policy: The unsolved mystery of Australia’s steady decline in PISA scores. International Journal of Educational Development, 60, 60–79. https://doi.org/10.1016/j.ijedudev.2017.10.018

Total number of publications in WoS / Scopus databases over the past five years: 28

1. Student Experience at Research University (SERU)
2. Quality of higher education in and after the pandemic
3. Monitoring the economics of education (research in higher education and postgraduate studies)
4. Educational success of students of Russian universities (mirror laboratory with Tomsk State University)

1. Transformation of postgraduate studies in the post-Soviet space
2. Scientific guidance of graduate students: global trends and challenges
3. Psychological well-being of undergraduate and graduate students
4. Models of educational behavior of undergraduate and graduate students

The sphere of scientific interests of the supervisor includes such areas as the study of student and postgraduate experience and its relationship with indicators of educational success, factors of psychological well-being of students and postgraduates, models of educational behavior of students and postgraduates, transformation of postgraduate studies in the post-Soviet space.

Research led by E.A. Terentyev is expected to be involved in project work within the framework of the international team of the Center for the Sociology of Higher Education, partners of which are the University of California at Berkeley and Stanford University. The center implements unique research with international participation, dedicated to the study of student experience and factors of educational achievement of students (SERU, SuperTest, WiWiKom, etc.).

• Educational background in the field of sociology or psychology
• Proficiency in quantitative data analysis methods and confident use of quantitative data analysis software (R or Stata)
• Strong command of spoken and written English

1. Gruzdev I., Terentev E., Dzhafarova Z. Superhero or hands-off supervisor? An empirical categorization of PhD supervision styles and student satisfaction in Russian universities // Higher Education. 2020. No. 79. P. 773-789.
2. Maloshonok N., Terentev E. National barriers to the completion of doctoral programs at Russian universities // Higher Education. 2019. Vol. 77. No. 2. P. 195-211.
3. Dremova O., Maloshonok N., Terentev E., Federiakin D. Criticism and justification of undergraduate academic dishonesty: development and validation of the domestic, market and industrial orders of worth scales // European Journal of Higher Education. 2021.
4. Terentev E., Bekova S., Maloshonok N. Three challenges to Russian system of doctoral education: Why only one out of ten doctoral students defends thesis? // International Journal of Chinese Education. 2021. Vol. 10. No. 1. P. 1-10.
5. Maloshonok N., Terentev E. The mismatch between student educational expectations and realities: prevalence, causes, and consequences // European Journal of Higher Education. 2017. Vol. 7. No. 4. P. 356-372.

Total number of publications in the WoS / Scopus databases over the past five years: 24.

Project "From a Startup to a Global Innovative Company: Forming Sources of Competitive Advantages for Russian Entrepreneurial Firms", funded by the Russian Science Foundation

1. The Relationship between Top-Manager’s Psychological Traits and Firm’s Entrepreneurial Behavior;
2. Strategic Responses of SMEs to Catastrophic Events: Influence of CEO Personal Characteristics;
3. Founder social identity and venture performance: The role of national culture.

1. Opportunity to study at a foreign university;
2. Classes are conducted by generally recognized foreign scientists;
3. Additional funding of postgraduate students at the expense of: academic postgraduate study programs, V.D. Matveenko, programs new researchers and new teachers;
4. Interaction with research centers and laboratories

1. Shirokova G., Morris M., Laskovaia A., Micelotta E. Effectuation and causation, firm performance, and the impact of institutions: A multi-country moderation analysis // Journal of Business Research. 2021. Vol. 129. P. 169-182.
2. Wales W., Shirokova G., Beliaeva T., Micelotta E., Marino L. The impact of institutions on the entrepreneurial orientation-performance relationship // Global Strategy Journal. 2021. Vol. 11. P. 656-685.
3. Beliaeva T., Shirokova G., Wales W., Gafforova E. Benefiting from economic crisis? Strategic orientation effects, trade-offs, and configurations with resource availability on SME performance // International Entrepreneurship and Management Journal. 2020. Vol. 16. No. 1. P. 165-194.
4. Edelman L. F., Manolova T., Shirokova G., Tsukanova T. Context matters: The importance of university and family for young nascent entrepreneurs // Russian Management Journal. 2020. Vol. 18. No. 2. P. 127-154.
5. Osiyevskyy O., Shirokova G., Ritala P. Exploration and exploitation in crisis environment: Implications for level and variability of firm performance // Journal of Business Research. 2020. No. 114. P. 227-239.

1. Relationship between political institutions and Covid-19 outcomes
2. Relationship between populism and Covid-19 outcomes
3. Relationship between democracy and technological innovations
4. Institutional roots of mass polarizations
5. Consequences of mass polarization

• Regression Analysis

1. Rosenberg D., Shvetsova O., VanDusky-Allen J., Adeel A. B., Zhirnov A., Catalano M., Catalano O., Giannelli F., Muftuoglu E., Sezgin M. H., Zhao T. Federal Institutions and Strategic Policy Responses to COVID-19 Pandemic // Frontiers in Political Science. 2021. Vol. 3. Article 1. doi (in press)
2. Arbatli E., Rosenberg D. United we stand, divided we rule: how political polarization erodes democracy // Democratization. 2021. Vol. 28. No. 2. P. 285-307.
3. Rosenberg, Dina, and Georgy Tarasenko. 2020. Innovation for despots? How dictators and democratic leaders differ in stifling innovation and misusing natural resources across 114 countries // Energy Research and Social Science. Vol. 68.
4. Rosenberg, Dina. 2018. Political Economy of IMR: Role of Democracy vs. Good Governance. International Journal of Health Services 48(3): 435-460.
5. Rosenberg, Dina, and Kozlov, Vladimir. 2018. Institutional Deficit and Health Outcomes in Post-Communist States. Economic Systems 42(1): 119-131.
6. Rosenberg, Dina, Kozlov Vladimir, and Libman, Alexander. 2018. Political Regimes, Income and Health: Evidence from Sub-National Comparative Method. Social Science Research 72: 20-37.

1. Development of surface ion traps for a scalable quantum computer. Investigation of the possibility of integral implementation of the fiber interface on a surface trap. (guidance)
2. Development of quantum communication technologies and devices for long-distance trunk lines. (participation)

1. Quantum Photonic Integration Circuits
2. Superconducting Single Photon Detectors
3. Terahetrz detectors and mixers

Publishing at the top journals

1. Gayduchenko, I., Xu, S.G., Alymov, G., Moskotin, M., Tretyakov, I., Taniguchi, T., Watanabe, K., Goltsman, G., Geim, A.K., Fedorov, G., Svintsov, D., Bandurin, D.A., "Tunnel field-effect transistors for sensitive terahertz detection", (2021) Nature Communications, 12 (1), DOI: 10.1038/s41467-020-20721-z.
2. Baeva, E.M., Titova, N.A., Veyrat, L., Sacepe, B., Semenov, A.V., Goltsman, G.N., Kardakova, A.I., Khrapai, V.S., "Thermal Relaxation in Metal Films Limited by Diffuson Lattice Excitations of Amorphous Substrates", (2021) Physical Review Applied, 15 (5), DOI: 10.1103/PhysRevApplied.15.054014.
3. Korneeva, Y.P., Vodolazov, D.Y., Semenov, A.V., Florya, I.N., Simonov, N., Baeva, E., Korneev, A.A., Goltsman, G.N., Klapwijk, T.M., "Optical Single-Photon Detection in Micrometer-Scale NbN Bridges", (2018) Physical Review Applied, 9 (6), DOI: 10.1103/PhysRevApplied.9.064037.
4. Bandurin, D.A., Svintsov, D., Gayduchenko, I., Xu, S.G., Principi, A., Moskotin, M., Tretyakov, I., Yagodkin, D., Zhukov, S., Taniguchi, T., Watanabe, K., Grigorieva, I.V., Polini, M., Goltsman, G.N., Geim, A.K., Fedorov, G., "Resonant terahertz detection using graphene plasmons", (2018) Nature Communications, 9 (1), DOI: 10.1038/s41467-018-07848-w.
5. Kovalyuk, V., Ferrari, S., Kahl, O., Semenov, A., Shcherbatenko, M., Lobanov, Y., Ozhegov, R., Korneev, A., Kaurova, N., Voronov, B., Pernice, W., Gol'tsman, G., "On-chip coherent detection with quantum limited sensitivity", (2017) Scientific Reports, 7 (1), DOI: 10.1038/s41598-017-05142-1.

1. Utility model patent No. 174301 "Precision power supply with an auto-reset system for a superconducting single-photon detector". Authors: Elezov Mikhail Sergeevich, Ozhegov Roman Viktorovich, Goltsman Grigory Naumovich. Application No. 2016139120. Priority of utility model 5.10.2016 Date of state registration in the State Register of Utility Models of the Russian Federation 11.10.2017.
2. Patent for invention No. RU2667345C2, "Method of manufacturing a matrix of THz radiation detectors based on carbon nanotubes". Authors: Goltsman Grigory Naumovich, Fedorov Georgy Evgenievich, Gaiduchenko Igor Andreevich, Voronov Boris Moiseevich, Stepanova Tatyana Sergeevna, Gazaliev Arsen Shakhsenovich, Titova Nadezhda Andreevna, Kaurova Natalya Sergeevna. Application: No. 2016141288. Date of state registration in the State Register of Utility Models of the Russian Federation 2016.10.20.
3. Utility model patent No. 186324 "Modular precision power supply with a system for monitoring the operation mode of a superconducting terahertz detector". Authors: Elezov Mikhail Sergeevich, Ozhegov Roman Viktorovich, Goltsman Grigory Naumovich. Application No. 2018122839 dated 06/22/2018. Date of state registration in the State Register of Utility Models of the Russian Federation 01/16/2019.
4. Patent for utility model No. RU186169U1, "Terahertz radiation detector based on carbon nanotubes". Authors: Goltsman Grigory Naumovich, Fedorov Georgy Evgenievich, Gaiduchenko Igor Andreevich, Belosevich Vsevolod Vasilievich. Application: No. 2018122840. The date of state registration in the State Register of Utility Models of the Russian Federation is January 11, 2019.
5. Utility model patent No. 193942 "Precision power supply with automatic adjustment of the operating mode of a superconducting terahertz detector". Authors: Elezov Mikhail Sergeevich, Trifonov Andrey Vasilyevich, Ozhegov Roman Viktorovich, Goltsman Grigory Naumovich. Application No. 2019119996. Utility model priority 06/27/2019 Date of state registration in the State Register of Utility Models of the Russian Federation 21.11.2019. The exclusive right to a utility model expires on June 27, 202918.
6. Utility model patent No. RU194869U1, "Fast detector of terahertz radiation based on carbon nanotubes". Authors: Goltsman Grigory Naumovich, Fedorov Georgy Evgenievich, Gaiduchenko Igor Andreevich, Belosevich Vsevolod Vasilievich. Application: No. 2019123380. The date of state registration in the State Register of Utility Models of the Russian Federation is July 25, 2019.
7. Patent for invention No. RU194126U1, "Waveguide superconducting single-photon detector with improved topology." Authors: Kovalyuk V.V., An P.P., Zubkova E.V., Golikov A.D., Goltsman G.N. Application No. 2019115802. Utility Model Priority May 22, 2019 Date of state registration in the State Register of Utility Models of the Russian Federation 28.22.2019. The exclusive right to a utility model expires on May 22, 2029.