Vincent Vatter

961 citations
42 papers · 318 indexed · h-index 11

Vincent Vatter

40 papers receiving 292 citations

Peers

Vincent Vatter
Comparison fields: 5 of 25
  • Discrete Mathematics and Combinatorics 248
  • Computational Theory and Mathematics 196
  • Algebra and Number Theory 51
  • Geometry and Topology 68
  • Artificial Intelligence 128
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Luca Ferrari Italy
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László Pyber Hungary
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Countries citing papers authored by Vincent Vatter

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Vatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Vincent Vatter, 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 Vincent Vatter Line = papers co-authored together Vincent Vatter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20160
2 20153
3
Inflations of geometric grid classes: three case studies.
20143
4 201318
5
Pattern-Avoiding Involutions: Exact and Asymptotic Enumeration
20131
6
Linear Clique-Width for Subclasses of Cographs, With Connections to Permutations
20131
7 20113
8 20113
9 20113
10 201110
11 201010
12 20097
13 200715
14 20071
15 200718
16 200620
17 200614
18 200516
19 20046
20 20027

About Vincent Vatter

Vincent Vatter is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory, Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 42 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (28 papers), semigroups and automata theory (19 papers), graph theory and CDMA systems (11 papers), Advanced Mathematical Identities (9 papers), Coding theory and cryptography (7 papers), Advanced Graph Theory Research (6 papers), Limits and Structures in Graph Theory (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (248 citations), Computational Theory and Mathematics (196 citations), Algebra and Number Theory (51 citations), Geometry and Topology (68 citations) and Artificial Intelligence (128 citations). Vincent Vatter has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Bruce E. Sagan, Sophie Huczynska, Nik Ruškuc, Michael Albert, M. D. Atkinson, Steve Linton, Michael H. Albert, Mathilde Bouvel, Miklós Bóna and Martin Hildebrand. Their work appears in journals such as The Electronic Journal of Combinatorics, Journal of Graph Theory, Discrete Mathematics & Theoretical Computer Science, Advances in Applied Mathematics and Discrete Mathematics.

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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