David Conlon

2.0k citations
64 papers · 723 indexed · h-index 18

Impact in

Papers in

David Conlon

53 papers receiving 673 citations

Peers

David Conlon
Comparison fields: 5 of 28
  • Discrete Mathematics and Combinatorics 638
  • Geometry and Topology 457
  • Computational Theory and Mathematics 589
  • Computer Graphics and Computer-Aided Design 27
  • Algebra and Number Theory 35
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Penny Haxell Canada
Jozef Skokan United States
Ilya D. Shkredov Russia
Tomáš Kaiser Czechia
Anna de Mier Spain
Jarosław Grytczuk Poland
Péter Komjáth Hungary
Norbert Sauer Canada
Florian Pfender United States
Joseph E. Bonin United States
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Citations per field
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Citations per year

Countries citing papers authored by David Conlon

Since Specialization
Citations

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

Fields of papers citing papers by David Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200961
2 201654
3 201353
4 201047
5 200941
6 201231
7 201428
8 201125
9 201021
10 201620
11 201420
12 201220
13 201019
14 200919
15 200819
16 200818
17 201518
18 201417
19 201917
20 201415

About David Conlon

David Conlon is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics and Computer Networks and Communications, having authored 64 papers that have together received 723 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (57 papers), Advanced Graph Theory Research (46 papers), Advanced Topology and Set Theory (32 papers), Graph theory and applications (14 papers), Graph Labeling and Dimension Problems (12 papers), Computability, Logic, AI Algorithms (6 papers), Complexity and Algorithms in Graphs (5 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (638 citations), Geometry and Topology (457 citations), Computational Theory and Mathematics (589 citations), Computer Graphics and Computer-Aided Design (27 citations) and Algebra and Number Theory (35 citations). David Conlon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jacob Fox, Benny Sudakov, W. T. Gowers, Yufei Zhao, Mathias Schacht, Choongbum Lee, Yury Person, Wojciech Samotij, Hiệp Hàn and Einar Steingrı́msson. Their work appears in journals such as COMBINATORICA, Random Structures and Algorithms, Bulletin of the London Mathematical Society, Combinatorics Probability Computing and Journal of Graph Theory.

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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