Igor Ya. Subbotin

61 papers receiving 249 citations

Peers

Igor Ya. Subbotin
Comparison fields: 5 of 27
  • Discrete Mathematics and Combinatorics 177
  • Algebra and Number Theory 146
  • Geometry and Topology 139
  • Mathematical Physics 36
  • Artificial Intelligence 96
Replace Luise-Charlotte Kappe with:
Luise-Charlotte Kappe United States
James C. Beidleman United States
Yakov Berkovich Israel
Bernhard Amberg Germany
R. Esteban‐Romero Spain
S. E. Stonehewer United Kingdom
Mercede Maj Italy
A. H. Rhemtulla Canada
Patrizia Longobardi Italy
А. А. Иванов Poland
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Citations per field
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Citations per year

Countries citing papers authored by Igor Ya. Subbotin

Since Specialization
Citations

This map shows the geographic impact of Igor Ya. Subbotin'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 Igor Ya. Subbotin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Ya. Subbotin more than expected).

Fields of papers citing papers by Igor Ya. Subbotin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor Ya. Subbotin. 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 Igor Ya. Subbotin. The network helps show where Igor Ya. Subbotin may publish in the future.

Co-authors

The 10 scholars most cited alongside Igor Ya. Subbotin, 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 Igor Ya. Subbotin Line = papers co-authored together Igor Ya. Subbotin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200636
2 200230
3
APPLICATION OF FUZZY LOGIC TO LEARNING ASSESSMENT
200419
4 201615
5 200215
6 198814
7 200614
8 201712
9 201312
10 19896
11 19896
12
FUZZY LOGIC AND ITERATIVE ASSESSMENT
20065
13 20175
14 19985
15 20025
16 20035
17 20204
18 20224
19 20194
20 20194

About Igor Ya. Subbotin

Igor Ya. Subbotin is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory, Geometry and Topology, Artificial Intelligence and Mathematical Physics, having authored 94 papers that have together received 298 indexed citations. Recurring topics across this work include Finite Group Theory Research (52 papers), Advanced Topics in Algebra (29 papers), Rings, Modules, and Algebras (23 papers), Coding theory and cryptography (19 papers), Algebraic structures and combinatorial models (19 papers), graph theory and CDMA systems (13 papers), Geometric and Algebraic Topology (12 papers) and Advanced Algebra and Geometry (9 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (177 citations), Algebra and Number Theory (146 citations), Geometry and Topology (139 citations), Mathematical Physics (36 citations) and Artificial Intelligence (96 citations). Igor Ya. Subbotin has collaborated with scholars based in United States, Ukraine and Spain. Frequent co-authors include Leonid A. Kurdachenko, Javier Otal, Michael Gr. Voskoglou, Martyn R. Dixon, V. V. Kirichenko, Patrizia Longobardi, Mercede Maj, Peter Serdyukov, Francesco de Giovanni and Л. С. Казарин. Their work appears in journals such as International Journal of Algebra and Computation, Journal of Algebra, Publicacions Matemàtiques, Illinois Journal of Mathematics and Proceedings of the Edinburgh Mathematical Society.

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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