P. Holgate

92 papers receiving 2.7k citations

P. Holgate's Hit Papers

Matrix Population Models. 1990 · 477 citations
4770+12+24Years since publication100200300400

Peers

P. Holgate
Comparison fields: 5 of 183
  • Statistics and Probability 496
  • Algebra and Number Theory 161
  • Mathematical Physics 276
  • History and Philosophy of Science 153
  • Modeling and Simulation 129
Replace H. D. Miller with:
H. D. Miller United Kingdom
C. Radhakrishna Rao United States
Josef Hofbauer Austria
Rick Durrett United States
Richard Durrett United States
J. N. Darroch Australia
Cedric A. B. Smith United Kingdom
Richard E. Crandall United States
Meyer Dwass United States
Anton Wakolbinger Germany
P. Holgate relative to H. D. Miller United Kingdom H. D. Miller's profile →
Citations per field
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H. D. Miller · 1×
Citations per year

Countries citing papers authored by P. Holgate

Since Specialization
Citations

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

Fields of papers citing papers by P. Holgate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside P. Holgate, 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 P. Holgate Line = papers co-authored together P. Holgate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matrix Population Models.
Hit paper breakdown →
1990477
2 1991416
3 1979360
4 1974281
5 1964169
6 1977160
7 198998
8 198772
9 197569
10 196457
11 196553
12 196744
13 196543
14 197043
15 197337
16 196634
17 196634
18 198732
19 197332
20 196830

About P. Holgate

P. Holgate is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Algebra and Number Theory and Public Health, Environmental and Occupational Health, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Advanced Topics in Algebra (10 papers), Gene Regulatory Network Analysis (9 papers), Evolutionary Game Theory and Cooperation (7 papers), Evolutionary Algorithms and Applications (6 papers), Stochastic processes and statistical mechanics (5 papers) and Advanced Algebra and Logic (5 papers). The work is most often cited by research in Statistics and Probability (496 citations), Algebra and Number Theory (161 citations), Mathematical Physics (276 citations), History and Philosophy of Science (153 citations) and Modeling and Simulation (129 citations). P. Holgate has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Hal Caswell, Elliott Sober, J. D. Murray, J. Durbin, Edwin L. Crow, Kazuo Shimizu, W. Mende, Wim Vervaat, Thomas Nagylaki and Johan G. F. Belinfante. Their work appears in journals such as Biometrika, Biometrics, Journal of Applied Probability, Advances in Applied Probability and Journal of Theoretical Biology.

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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