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Sergey Shvydun

Personal Details

First Name:Sergey
Middle Name:
Last Name:Shvydun
Suffix:
RePEc Short-ID:psh592
[This author has chosen not to make the email address public]
https://www.hse.ru/en/staff/Shv
Terminal Degree:2014 Graduate School of Business; National Research University Higher School of Economics (HSE) (from RePEc Genealogy)

Affiliation

International Laboratory of Decision Choice and Analysis
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://www.hse.ru/DeCAn/
RePEc:edi:ldhseru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Fuad Aleskerov & Natalia Meshcheryakova & Alisa Nikitina & Sergey Shvydun, 2018. "Key Borrowers Detection by Long-Range Interactions," Papers 1807.10115, arXiv.org.
  2. F. Aleskerov & N. Meshcheryakova & S. Shvydun, 2016. "Centrality measures in networks based on nodes attributes, long-range interactions and group influence," Papers 1610.05892, arXiv.org.
  3. Irina V. Abankina & Fuad T. Aleskerov & Veronika Yu. Belousova & Leonid M. Gokhberg & Kirill V. Zinkovsky & Sofya G. Kiselgof & Vsevolod Petrushchenko & Sergey V. Shvydun, 2015. "Performance-Based Typology Of Universities: Evidence From Russia," HSE Working papers WP BRP 33/STI/2015, National Research University Higher School of Economics.

Articles

  1. Fuad Aleskerov & Sergey Demin & Michael B. Richman & Sergey Shvydun & Theodore B. Trafalis & Vyacheslav Yakuba, 2020. "Constructing an Efficient Machine Learning Model for Tornado Prediction," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1177-1187, August.
  2. Fuad Aleskerov & Irina Gavrilenkova & Sergey Shvydun & Vyacheslav Yakuba, 2020. "Power Distribution in the Networks of Terrorist Groups: 2001–2018," Group Decision and Negotiation, Springer, vol. 29(3), pages 399-424, June.
  3. Fuad Aleskerov & Sergey Shvydun, 2019. "Allocation of Disputable Zones in the Arctic Region," Group Decision and Negotiation, Springer, vol. 28(1), pages 11-42, February.
  4. Abankina, Irina & Aleskerov, Fuad & Belousova, Veronika & Gokhberg, Leonid & Kiselgof, Sofya & Petrushchenko, Vsevolod & Shvydun, Sergey & Zinkovsky, Kirill, 2016. "From equality to diversity: Classifying Russian universities in a performance oriented system," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 228-239.
  5. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
  6. Irina Abankina & Fuad Aleskerov & Veronika Belousova & Leonid Gokhberg & Kirill Zinkovsky & Sofya Kiselgof & Sergey Shvydun, 2013. "Typology and Analysis of Russian Universities’ Performance in Education and Science Perspectives," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(3), pages 48-63.

Chapters

  1. Fuad Aleskerov & Sergey Demin & Sergey Shvydun & Theodore Trafalis & Michael Richman & Vyacheslav Yakuba, 2023. "Superposition Principle for Tornado Prediction," Springer Optimization and Its Applications, in: Konstantinos P. Balomenos & Antonios Fytopoulos & Panos M. Pardalos (ed.), Handbook for Management of Threats, pages 267-277, Springer.
  2. Fuad Aleskerov & Irina Andrievskaya & Alisa Nikitina & Sergey Shvydun, 2020. "Key Borrowers Detected by the Intensities of Their Interactions," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 9, pages 355-389, World Scientific Publishing Co. Pte. Ltd..
  3. Fuad Aleskerov & Zlata Sergeeva & Sergey Shvydun, 2017. "Assessment of Exporting Economies Influence on the Global Food Network," Springer Optimization and Its Applications, in: Sergiy Butenko & Panos M. Pardalos & Volodymyr Shylo (ed.), Optimization Methods and Applications, pages 1-10, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fuad Aleskerov & Natalia Meshcheryakova & Alisa Nikitina & Sergey Shvydun, 2018. "Key Borrowers Detection by Long-Range Interactions," Papers 1807.10115, arXiv.org.

    Cited by:

    1. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.

  2. F. Aleskerov & N. Meshcheryakova & S. Shvydun, 2016. "Centrality measures in networks based on nodes attributes, long-range interactions and group influence," Papers 1610.05892, arXiv.org.

    Cited by:

    1. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    2. Fuad Aleskerov & Natalia Meshcheryakova & Alisa Nikitina & Sergey Shvydun, 2018. "Key Borrowers Detection by Long-Range Interactions," Papers 1807.10115, arXiv.org.
    3. Fuad Aleskerov & Irina Gavrilenkova & Sergey Shvydun & Vyacheslav Yakuba, 2020. "Power Distribution in the Networks of Terrorist Groups: 2001–2018," Group Decision and Negotiation, Springer, vol. 29(3), pages 399-424, June.

  3. Irina V. Abankina & Fuad T. Aleskerov & Veronika Yu. Belousova & Leonid M. Gokhberg & Kirill V. Zinkovsky & Sofya G. Kiselgof & Vsevolod Petrushchenko & Sergey V. Shvydun, 2015. "Performance-Based Typology Of Universities: Evidence From Russia," HSE Working papers WP BRP 33/STI/2015, National Research University Higher School of Economics.

    Cited by:

    1. Abankina, Irina & Aleskerov, Fuad & Belousova, Veronika & Gokhberg, Leonid & Kiselgof, Sofya & Petrushchenko, Vsevolod & Shvydun, Sergey & Zinkovsky, Kirill, 2016. "From equality to diversity: Classifying Russian universities in a performance oriented system," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 228-239.

Articles

  1. Fuad Aleskerov & Sergey Demin & Michael B. Richman & Sergey Shvydun & Theodore B. Trafalis & Vyacheslav Yakuba, 2020. "Constructing an Efficient Machine Learning Model for Tornado Prediction," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1177-1187, August.

    Cited by:

    1. Fahim Sufi & Edris Alam & Musleh Alsulami, 2022. "Automated Analysis of Australian Tropical Cyclones with Regression, Clustering and Convolutional Neural Network," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    2. Fahim Sufi & Edris Alam & Musleh Alsulami, 2022. "A New Decision Support System for Analyzing Factors of Tornado Related Deaths in Bangladesh," Sustainability, MDPI, vol. 14(10), pages 1-18, May.

  2. Fuad Aleskerov & Sergey Shvydun, 2019. "Allocation of Disputable Zones in the Arctic Region," Group Decision and Negotiation, Springer, vol. 28(1), pages 11-42, February.

    Cited by:

    1. L. G. Karanatova & A. Yu. Kulev, 2022. "Socio-Economic Development of the Arctic: Modern Challenges and Priorities," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 2.

  3. Abankina, Irina & Aleskerov, Fuad & Belousova, Veronika & Gokhberg, Leonid & Kiselgof, Sofya & Petrushchenko, Vsevolod & Shvydun, Sergey & Zinkovsky, Kirill, 2016. "From equality to diversity: Classifying Russian universities in a performance oriented system," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 228-239.

    Cited by:

    1. Askarany, Davood & Spraakman, Gary, 2020. "Regional diversification and financial performance through an excess-capacity theory lens: A new explanation for mixed results," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    2. Centobelli, Piera & Cerchione, Roberto & Esposito, Emilio & Shashi,, 2019. "Exploration and exploitation in the development of more entrepreneurial universities: A twisting learning path model of ambidexterity," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 172-194.
    3. Telcs, András & Kosztyán, Zsolt Tibor & Banász, Zsuzsanna & Csányi, Vivien Valéria, 2019. "Felsőoktatási ligák, parciális rangsorok képzése biklaszterezési eljárásokkal [How to rate higher education systems partial rankings using bi-clustering methods]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 905-931.
    4. Tommaso Agasisti & Ekaterina Shibanova & Daria Platonova & Mikhail Lisyutkin, 2018. "The Russian Excellence Initiative For Higher Education: An Econometric Evaluation Of Short-Term Results," HSE Working papers WP BRP 201/EC/2018, National Research University Higher School of Economics.
    5. Berbegal-Mirabent, Jasmina & Gil-Doménech, Dolors & de la Torre, Rocío, 2019. "Dealing with heterogeneity: An analysis of Spanish universities," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 13(3), pages 58-77.
    6. Renato Bruni & Giuseppe Catalano & Cinzia Daraio & Martina Gregori & Henk F. Moed, 2019. "Studying the Heterogeneity of European Higher Education Institutions," DIAG Technical Reports 2019-12, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    7. Renato Bruni & Giuseppe Catalano & Cinzia Daraio & Martina Gregori & Henk F. Moed, 2020. "Studying the heterogeneity of European higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1117-1144, November.

  4. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.

    Cited by:

    1. Aleskerov, F. & Kazachinskaya, A. & Karabekyan, D. & Semina, A. & Yakuba, V., 2021. "Economic journals of Russia, their characteristics and network analysis," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 170-182.
    2. Rubinstein, Alexander & Slutskin, Lev, 2018. "«Multiway data analysis» and the general problem of journals’ ranking," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 90-113.

  5. Irina Abankina & Fuad Aleskerov & Veronika Belousova & Leonid Gokhberg & Kirill Zinkovsky & Sofya Kiselgof & Sergey Shvydun, 2013. "Typology and Analysis of Russian Universities’ Performance in Education and Science Perspectives," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(3), pages 48-63.

    Cited by:

    1. Mikhail Kuzyk & Anna Grebenyuk & Evgenia Kakaeva & Evgeniy Manchenko & Vladimir Dovgiy, 2017. "What Prevents Universities from the Involvement into the Creating Dual Technologies?," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 11(4), pages 84-95.
    2. Garold Zborovskiy & Polina Ambarova, 2017. "Network Interaction of Universities in Higher Education System of Ural Macro-Region," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 446-456.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-RMG: Risk Management (2) 2016-08-14 2018-08-27
  2. NEP-CIS: Confederation of Independent States (1) 2015-02-11
  3. NEP-EDU: Education (1) 2015-02-11
  4. NEP-EFF: Efficiency and Productivity (1) 2015-02-11
  5. NEP-GTH: Game Theory (1) 2016-10-23
  6. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2015-02-11
  7. NEP-NET: Network Economics (1) 2016-10-23
  8. NEP-TRA: Transition Economics (1) 2015-02-11
  9. NEP-URE: Urban and Real Estate Economics (1) 2016-10-23

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