Viktor Shurygin

419 citations
26 papers · 273 · h-index 11

Impact in

Papers in

    • Educational Innovations and Challenges 12
    • Innovations in Education and Learning Technologies 8
    • Foreign Language Teaching Methods 6
    • Innovative Teaching Methods 4
    • Technology-Enhanced Education Studies 4
    • Online and Blended Learning 2

Viktor Shurygin

25 papers receiving 236 citations

Peers

Viktor Shurygin
Comparison fields: 5 of 62
  • Computer Science Applications 29
  • Education 121
  • Information Systems 93
  • Statistical and Nonlinear Physics 35
  • Geophysics 18
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Countries citing papers authored by Viktor Shurygin

Since Specialization
Citations

This map shows the geographic impact of Viktor Shurygin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Viktor Shurygin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Shurygin more than expected).

Fields of papers citing papers by Viktor Shurygin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor Shurygin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Viktor Shurygin. The network helps show where Viktor Shurygin may publish in the future.

Co-authors

The 6 scholars most cited alongside Viktor Shurygin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viktor Shurygin Line = papers co-authored together Viktor Shurygin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201935
2 201929
3 202127
4 200126
5 199024
6
Electronic Learning Courses as A Means to Activate Students’ Independent Work in Studying Physics
201617
7 200215
8 202115
9
Particularities of blended learning implementation in teaching physics by means of LMS Moodle
201714
10 202313
11 199312
12
Development Of teachers’ Information Competency In Higher Education Institution
20177
13 20226
14 19906
15 19975
16
Transformation of Non-Markovian Kinetic Equation for TCF to Markovian Type
19994
17 19954
18 20183
19
The Usability of Learning Management Systems as a Platform for Distance Learners
20202
20 20152

About Viktor Shurygin

Viktor Shurygin is a scholar working on Information Systems, Education, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Computer Science Applications, having authored 26 papers that have together received 273 indexed citations. Recurring topics across this work include Educational Innovations and Challenges (12 papers), Innovations in Education and Learning Technologies (8 papers), Foreign Language Teaching Methods (6 papers), Innovative Teaching Methods (4 papers), Technology-Enhanced Education Studies (4 papers), Quantum, superfluid, helium dynamics (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Science Applications (29 citations), Education (121 citations), Information Systems (93 citations), Statistical and Nonlinear Physics (35 citations) and Geophysics (18 citations). Viktor Shurygin has collaborated with scholars based in Russia, Germany and Kazakhstan. Frequent co-authors include Peter Hänggi, А. В. Мокшин, Angelina Olegovna Zekiy, Eugeny P. Kolpak, Tatyana Anisimova and Nail Khusnutdinov. Their work appears in journals such as Physics Letters A, International Journal of Emerging Technologies in Learning (iJET), International Journal of Technology Enhanced Learning, Research in Learning Technology and The International Journal of Environmental and Science Education.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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