Casey Tompkins

30 papers receiving 110 citations

Peers

Casey Tompkins
Comparison fields: 5 of 31
  • Discrete Mathematics and Combinatorics 80
  • Geometry and Topology 47
  • Computational Theory and Mathematics 75
  • Computer Graphics and Computer-Aided Design 5
  • Algebra and Number Theory 5
Replace Luke Postle with:
Luke Postle Canada
Abhishek Methuku Hungary
Stefan Glock Germany
Máté Vizer Hungary
Nicolas Trotignon France
Richard Mycroft United Kingdom
Monika Pilśniak Poland
Niranjan Balachandran India
Jürgen Avenhaus Germany
Colum Watt Ireland
Casey Tompkins relative to Luke Postle Canada Luke Postle's profile →
Citations per field
00.5×1.5×2.4×
Luke Postle · 1×
Citations per year

Countries citing papers authored by Casey Tompkins

Since Specialization
Citations

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

Fields of papers citing papers by Casey Tompkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Casey Tompkins, 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 Casey Tompkins Line = papers co-authored together Casey Tompkins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201717
2 196116
3 20228
4 20187
5 20196
6 20216
7 20236
8 20206
9 20245
10 20184
11 20173
12 20223
13 20232
14 20242
15
The maximum number of P_l copies in P_k-free graphs
20192
16 20232
17 20162
18 20242
19 20232
20 20231

About Casey Tompkins

Casey Tompkins is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 112 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (29 papers), Advanced Graph Theory Research (27 papers), Graph theory and applications (11 papers), Graph Labeling and Dimension Problems (10 papers), graph theory and CDMA systems (6 papers), Advanced Topology and Set Theory (4 papers), Computational Geometry and Mesh Generation (3 papers) and Analytic Number Theory Research (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (80 citations), Geometry and Topology (47 citations), Computational Theory and Mathematics (75 citations), Computer Graphics and Computer-Aided Design (5 citations) and Algebra and Number Theory (5 citations). Casey Tompkins has collaborated with scholars based in Hungary, South Korea and Costa Rica. Frequent co-authors include Abhishek Methuku, Ervin Győri, Franz E. Hohn, Andrzej Grzesik, Birgit Vogtenhuber, Jean Cardinal, Stefan Felsner, Tillmann Miltzow, Walter L. Wilson and Máté Vizer. Their work appears in journals such as European Journal of Combinatorics, The Electronic Journal of Combinatorics, Discrete Mathematics, Journal of Graph Theory and Discrete Mathematics & Theoretical Computer Science.

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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