David Richerby

549 citations
28 papers · 205 · h-index 9

Impact in

Papers in

David Richerby

25 papers receiving 186 citations

Peers

David Richerby
Comparison fields: 5 of 28
  • Statistics and Probability 78
  • Computational Theory and Mathematics 137
  • Discrete Mathematics and Combinatorics 27
  • Computational Mathematics 5
  • Geometry and Topology 19
Replace Antar Bandyopadhyay with:
Antar Bandyopadhyay India
Sonja Petrović United States
Christina Goldschmidt United Kingdom
Dieter Mitsche France
Rudini Sampaio Brazil
Russell Martin United Kingdom
Étienne Birmelé France
Pavel Hrubeš United States
Christopher Hoffman United States
Miloš Stojaković Serbia
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Citations per field
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Citations per year

Countries citing papers authored by David Richerby

Since Specialization
Citations

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

Fields of papers citing papers by David Richerby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201334
2 201024
3 201123
4 201221
5 200920
6 200811
7 201110
8 20099
9
Approximating Fixation Probabilities in the Generalized Moran Process
20128
10 20107
11 20205
12 20145
13 20125
14 20204
15 20113
16 20053
17 20123
18 20172
19 20142
20 20141

About David Richerby

David Richerby is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Mathematical Physics and Geometry and Topology, having authored 28 papers that have together received 205 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (16 papers), Complexity and Algorithms in Graphs (10 papers), Stochastic processes and statistical mechanics (4 papers), Bayesian Modeling and Causal Inference (4 papers), Graph Labeling and Dimension Problems (4 papers), Graph Theory and Algorithms (4 papers), Complex Network Analysis Techniques (4 papers) and Graph theory and applications (3 papers). The work is most often cited by research in Statistics and Probability (78 citations), Computational Theory and Mathematics (137 citations), Discrete Mathematics and Combinatorics (27 citations), Computational Mathematics (5 citations) and Geometry and Topology (19 citations). David Richerby has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Martin Dyer, Leslie Ann Goldberg, Markus Jalsenius, Dimitrios M. Thilikos, Marı́a Serna, Josep Dı́az, Anuj Dawar, Mark Jerrum, Paul G. Spirakis and George B. Mertzios. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics and Annals of Pure and Applied Logic.

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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