William Hoppitt

66 papers receiving 4.9k citations

William Hoppitt's Hit Papers

Cause and Effect in Biology Revisited: Is Mayr’s Proximate-Ultimate Dichotomy Still Useful? 2011 · 444 citations
4440+5+10Years since publication100200300400

Peers

William Hoppitt
Comparison fields: 5 of 150
  • Developmental Biology 1.2k
  • Cultural Studies 971
  • Social Psychology 2.2k
  • Ecology, Evolution, Behavior and Systematics 1.9k
  • History and Philosophy of Science 225
Replace Alex Thornton with:
Alex Thornton United Kingdom
Luke E. Rendell United Kingdom
Russell David Gray New Zealand
Ian Tattersall United States
Magnus Enquist Sweden
Rachel L. Kendal United Kingdom
Agustín Fuentes United States
Alex Kacelnik United Kingdom
Louise Barrett Canada
Marc Bekoff United States
William Hoppitt relative to Alex Thornton United Kingdom Alex Thornton's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Hoppitt

Since Specialization
Citations

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

Fields of papers citing papers by William Hoppitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cause and Effect in Biology Revisited: Is Mayr’s Proximate-Ultimate Dichotomy Still Useful?
Hit paper breakdown →
2011444
2
Cognitive culture: theoretical and empirical insights into social learning strategies
Hit paper breakdown →
2011411
3 2003299
4 2013297
5 2011259
6 2008243
7 2013233
8 2014232
9 2014197
10 2008173
11 2017155
12 2012153
13 2003150
14 2015148
15 2010118
16 2008113
17 2019103
18 2017101
19 201395
20 200971

About William Hoppitt

William Hoppitt is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics, Social Psychology, Cultural Studies and Ecology, having authored 69 papers that have together received 5.2k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (34 papers), Animal Behavior and Reproduction (28 papers), Animal Vocal Communication and Behavior (25 papers), Evolutionary Game Theory and Cooperation (19 papers), Plant and animal studies (12 papers), Language and cultural evolution (9 papers), Wildlife Ecology and Conservation (9 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Developmental Biology (1.2k citations), Cultural Studies (971 citations), Social Psychology (2.2k citations), Ecology, Evolution, Behavior and Systematics (1.9k citations) and History and Philosophy of Science (225 citations). William Hoppitt has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kevin N. Laland, Luke E. Rendell, Tobias Uller, John Odling‐Smee, Mike Webster, Thomas J. H. Morgan, Damien Roger Farine, Kim Sterelny, Neeltje J. Boogert and Rachel L. Kendal. Their work appears in journals such as Animal Behaviour, Proceedings of the Royal Society B Biological Sciences, Current Biology, Royal Society Open Science and Nature Communications.

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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