David Galvin

73 papers receiving 972 citations

Peers

David Galvin
Comparison fields: 5 of 113
  • Discrete Mathematics and Combinatorics 139
  • Urology 146
  • Pulmonary and Respiratory Medicine 487
  • Statistics and Probability 96
  • Geometry and Topology 81
Replace Takashi Owada with:
Takashi Owada Japan
Hisatake Matsumoto Japan
Robert Gordon United States
Е. B. Yarovaya Russia
Donald R. Kahn United States
James C. Lee Australia
Paolo Aluffi United States
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Joseph M. Collins United States
Jane L. Hutton United Kingdom
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Citations per year

Countries citing papers authored by David Galvin

Since Specialization
Citations

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

Fields of papers citing papers by David Galvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006115
2 2009108
3 201658
4 201557
5 200447
6 200242
7 201937
8 202337
9 200434
10 201333
11 200826
12 201625
13 200424
14 201123
15 200321
16 200419
17 201218
18 201717
19 201316
20 200916

About David Galvin

David Galvin is a scholar working on Pulmonary and Respiratory Medicine, Discrete Mathematics and Combinatorics, Surgery, Computational Theory and Mathematics and Geometry and Topology, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (17 papers), Prostate Cancer Diagnosis and Treatment (17 papers), Advanced Graph Theory Research (12 papers), Graph theory and applications (11 papers), Markov Chains and Monte Carlo Methods (11 papers), Prostate Cancer Treatment and Research (9 papers), Bladder and Urothelial Cancer Treatments (8 papers) and Stochastic processes and statistical mechanics (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (139 citations), Urology (146 citations), Pulmonary and Respiratory Medicine (487 citations), Statistics and Probability (96 citations) and Geometry and Topology (81 citations). David Galvin has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Margaret S. Pearle, D. Mulvin, David M. Quinlan, R. William G. Watson, Jeff Kahn, Andrew J. Vickers, John M. Fitzpatrick, Prasad Tetali, Paul Russo and G. Lennon. Their work appears in journals such as The Journal of Urology, Discrete Mathematics, Combinatorics Probability Computing, Journal of Combinatorial Theory Series B and Graphs and Combinatorics.

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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