Igor Razgon

1.5k citations
46 papers · 885 · h-index 16

Impact in

Papers in

Igor Razgon

44 papers receiving 841 citations

Peers

Igor Razgon
Comparison fields: 5 of 49
  • Computational Theory and Mathematics 771
  • Discrete Mathematics and Combinatorics 111
  • Computer Networks and Communications 313
  • Computer Graphics and Computer-Aided Design 44
  • Geometry and Topology 49
Replace Leizhen Cai with:
Leizhen Cai Hong Kong
Ioan Todinca France
Maw‐Shang Chang Taiwan
Yngve Villanger Norway
Ignasi Sau France
Celina M.H. de Figueiredo Brazil
Somnath Sikdar Germany
Jesper Nederlof Netherlands
Naomi Nishimura Canada
Yushi Uno Japan
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Citations per field
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Citations per year

Countries citing papers authored by Igor Razgon

Since Specialization
Citations

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

Fields of papers citing papers by Igor Razgon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008166
2 200787
3 200982
4 201359
5 200655
6 201152
7 201443
8 200842
9 200831
10 200727
11 201224
12 200724
13 200822
14 200921
15 200921
16 200817
17
A Faster Solving of the Maximum Independent Set Problem for Graphs with Maximal Degree 3.
200614
18 201211
19 20079
20 20158

About Igor Razgon

Igor Razgon is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Discrete Mathematics and Combinatorics, having authored 46 papers that have together received 885 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (31 papers), Complexity and Algorithms in Graphs (25 papers), Constraint Satisfaction and Optimization (10 papers), semigroups and automata theory (9 papers), Data Management and Algorithms (6 papers), Formal Methods in Verification (5 papers), Algorithms and Data Compression (4 papers) and Graph Labeling and Dimension Problems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (771 citations), Discrete Mathematics and Combinatorics (111 citations), Computer Networks and Communications (313 citations), Computer Graphics and Computer-Aided Design (44 citations) and Geometry and Topology (49 citations). Igor Razgon has collaborated with scholars based in Ireland, United Kingdom and Hungary. Frequent co-authors include Barry O’Sullivan, Dániel Marx, Yang Liu, Songjian Lu, Jianer Chen, Fedor V. Fomin, A. V. Pyatkin, Serge Gaspers, Gregory Gutin and Vadim Lozin. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Algorithmica, Journal of Combinatorial Theory Series B and SIAM Journal on Computing.

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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