Stephen Davis

4.4k citations
94 papers · 3.4k · h-index 34

Impact in

    • Vector-borne infectious diseases
  • Ecology top 2%
    • Animal Ecology and Behavior Studies
    • Wildlife Ecology and Conservation

Papers in

    • Yersinia bacterium, plague, ectoparasites research 19
    • Evolution and Genetic Dynamics 9
    • Animal Ecology and Behavior Studies 22
    • Wildlife Ecology and Conservation 10

Stephen Davis

94 papers receiving 3.2k citations

Peers

Stephen Davis
Comparison fields: 5 of 168
  • Parasitology 557
  • Ecology 1.1k
  • Infectious Diseases 693
  • Genetics 1.1k
  • Public Health, Environmental and Occupational Health 866
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Stephen Davis relative to Sarah E. Perkins United Kingdom Sarah E. Perkins's profile →
Citations per field
00.5×1.7×
Sarah E. Perkins · 1×
Citations per year

Countries citing papers authored by Stephen Davis

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Davis, 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 Stephen Davis Line = papers co-authored together Stephen Davis 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 2003258
2 2006214
3 2008168
4 2004165
5 2008164
6 2005148
7 2001116
8 2003111
9 2014108
10 2001103
11 200793
12 200793
13 200685
14 201579
15 201376
16 201053
17 200250
18 201446
19 200946
20 200945

About Stephen Davis

Stephen Davis is a scholar working on Genetics, Ecology, Public Health, Environmental and Occupational Health, Signal Processing and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (22 papers), Yersinia bacterium, plague, ectoparasites research (19 papers), Biometric Identification and Security (16 papers), Zoonotic diseases and public health (11 papers), Wildlife Ecology and Conservation (10 papers), Viral Infections and Vectors (10 papers), Evolution and Genetic Dynamics (9 papers) and Retinal Imaging and Analysis (8 papers). The work is most often cited by research in Parasitology (557 citations), Ecology (1.1k citations), Infectious Diseases (693 citations), Genetics (1.1k citations) and Public Health, Environmental and Occupational Health (866 citations). Stephen Davis has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Herwig Leirs, Hans Heesterbeek, Roger P. Pech, Nils Chr. Stenseth, Grant R. Singleton, K. J. Horadam, Zhibin Zhang, Hildegunn Viljugrein, Nienke Hartemink and Xinrong Wan. Their work appears in journals such as Journal of Theoretical Biology, Theoretical Population Biology, Proceedings of the Royal Society B Biological Sciences, Journal of Wildlife Management and Journal of The Royal Society Interface.

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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