Alexander Guterman

61 papers receiving 394 citations

Peers

Alexander Guterman
Comparison fields: 5 of 32
  • Algebra and Number Theory 287
  • Computational Theory and Mathematics 305
  • Discrete Mathematics and Combinatorics 58
  • Geometry and Topology 115
  • Applied Mathematics 115
Replace Igor Klep with:
Igor Klep Slovenia
Bojan Kuzma Slovenia
Artūras Dubickas Lithuania
Imre Kátai Hungary
Joël Rivat France
Stephen Pierce United States
Murray Marshall Canada
Ryszard Szwarc Poland
Michael Filaseta United States
Sivaram K. Narayan United States
Alexander Guterman relative to Igor Klep Slovenia Igor Klep's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alexander Guterman

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Guterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Guterman. 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 Alexander Guterman. The network helps show where Alexander Guterman may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexander Guterman, 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 Alexander Guterman Line = papers co-authored together Alexander Guterman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200085
2
Tropical polyhedra are equivalent to mean payoff games
201629
3 200128
4 201825
5 200516
6 201416
7 201815
8 200113
9 200512
10 201311
11 200810
12 20199
13 20139
14 20159
15 20108
16 20138
17 20208
18 20097
19 20207
20 20216

About Alexander Guterman

Alexander Guterman is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Geometry and Topology, Electrical and Electronic Engineering and Discrete Mathematics and Combinatorics, having authored 67 papers that have together received 449 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (37 papers), Matrix Theory and Algorithms (36 papers), graph theory and CDMA systems (14 papers), Finite Group Theory Research (9 papers), Algebraic structures and combinatorial models (9 papers), Advanced Optimization Algorithms Research (8 papers), Polynomial and algebraic computation (6 papers) and Graph theory and applications (5 papers). The work is most often cited by research in Algebra and Number Theory (287 citations), Computational Theory and Mathematics (305 citations), Discrete Mathematics and Combinatorics (58 citations), Geometry and Topology (115 citations) and Applied Mathematics (115 citations). Alexander Guterman has collaborated with scholars based in Russia, Slovenia and United States. Frequent co-authors include Peter Šemrl, Chi-Kwong Li, LeRoy B. Beasley, Грегор Долинар, Marianne Akian, Bojan Kuzma, О. В. Маркова, Geir Dahl, Thomas J. Laffey and Ljiljana Arambašić. Their work appears in journals such as Linear Algebra and its Applications, International Journal of Algebra and Computation, Ars Mathematica Contemporanea, Applied Mathematics and Computation and Journal of Fixed Point Theory and Applications.

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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