Peter A. Cotton

5.9k citations
53 papers · 3.7k · 1 hit paper · h-index 30

Impact in

Papers in

Peter A. Cotton

50 papers receiving 3.5k citations

Peter A. Cotton's Hit Papers

Chatting and cheating: Ensuring academic integrity in the era of ChatGPT 2023 · 1.1k citations
1.1k0+1+2Years since publication2505007501000

Peers

Peter A. Cotton
Comparison fields: 5 of 151
  • Health Informatics 625
  • Developmental Biology 219
  • Ecological Modeling 361
  • Ecology, Evolution, Behavior and Systematics 1.5k
  • Computer Science Applications 325
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Megan L. Head Australia
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Peter A. Cotton relative to Jason Jones United States Jason Jones's profile →
Citations per field
00.5×10×20×30×41.7×
Jason Jones · 1×
Citations per year

Countries citing papers authored by Peter A. Cotton

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Cotton. 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 Peter A. Cotton. The network helps show where Peter A. Cotton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Hit paper breakdown →
20231147
2 2003411
3 1998187
4 1995147
5 1999141
6 2011127
7 1996106
8 200696
9 200685
10 200478
11 199671
12 200665
13 200461
14 201058
15 200756
16 201253
17 200753
18 199852
19 201551
20 199846

About Peter A. Cotton

Peter A. Cotton is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Global and Planetary Change and Oceanography, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (22 papers), Plant and animal studies (19 papers), Avian ecology and behavior (13 papers), Ecology and Vegetation Dynamics Studies (6 papers), Marine Biology and Ecology Research (5 papers), Animal Vocal Communication and Behavior (5 papers), Wildlife Ecology and Conservation (4 papers) and Amphibian and Reptile Biology (4 papers). The work is most often cited by research in Health Informatics (625 citations), Developmental Biology (219 citations), Ecological Modeling (361 citations), Ecology, Evolution, Behavior and Systematics (1.5k citations) and Computer Science Applications (325 citations). Peter A. Cotton has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Debby Cotton, J. Reuben Shipway, Alex Kacelnik, Jonathan Wright, Simon D. Rundle, Sarah Dalesman, Sophie L. Mowles, Mark Briffa, Martin J. Attrill and Jonathan C. Wright. Their work appears in journals such as Animal Behaviour, Ibis, PLoS ONE, Proceedings of the National Academy of Sciences and Biotropica.

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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