Vadim E. Levit

1.4k citations
81 papers · 541 · h-index 12

Impact in

Papers in

Vadim E. Levit

63 papers receiving 505 citations

Peers

Vadim E. Levit
Comparison fields: 5 of 47
  • Discrete Mathematics and Combinatorics 181
  • Geometry and Topology 238
  • Computational Theory and Mathematics 328
  • Industrial and Manufacturing Engineering 100
  • Algebra and Number Theory 25
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Citations per year

Countries citing papers authored by Vadim E. Levit

Since Specialization
Citations

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

Fields of papers citing papers by Vadim E. Levit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vadim E. Levit. 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 Vadim E. Levit. The network helps show where Vadim E. Levit may publish in the future.

Co-authors

The 19 scholars most cited alongside Vadim E. Levit, 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 Vadim E. Levit Line = papers co-authored together Vadim E. Levit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199798
2
The independence polynomial of a graph - a survey
200559
3 200229
4 200528
5 200221
6 200721
7 201120
8 201818
9 200316
10 201314
11 200313
12 201313
13 200610
14 20079
15 20029
16
Graph Theory, Computational Intelligence and Thought: Essays Dedicated to Martin Charles Golumbic on the Occasion of His 60th Birthday
20098
17 20128
18 20017
19 20157
20
On + -stable K#onig-Egerv&ary graphs
20036

About Vadim E. Levit

Vadim E. Levit is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Discrete Mathematics and Combinatorics, Computer Networks and Communications and Artificial Intelligence, having authored 81 papers that have together received 541 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (55 papers), Graph theory and applications (30 papers), Limits and Structures in Graph Theory (25 papers), Complexity and Algorithms in Graphs (25 papers), Graph Labeling and Dimension Problems (19 papers), Advanced Combinatorial Mathematics (7 papers), Game Theory and Applications (4 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (181 citations), Geometry and Topology (238 citations), Computational Theory and Mathematics (328 citations), Industrial and Manufacturing Engineering (100 citations) and Algebra and Number Theory (25 citations). Vadim E. Levit has collaborated with scholars based in Israel, United States and Brazil. Frequent co-authors include Eugen Mǎndrescu, Eugene Levner, Vladimir Kats, Tal Grinshpoun, Amnon Meisels, Endre Boros, Martin Charles Golumbic, Tamir Tassa, Roie Zivan and Ana L. C. Bazzan. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, Graphs and Combinatorics, Ars Mathematica Contemporanea and Artificial Intelligence.

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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