Benjamin Pettit

10 papers receiving 499 citations

Peers

Benjamin Pettit
Comparison fields: 5 of 65
  • Developmental Biology 65
  • Ecology, Evolution, Behavior and Systematics 257
  • Ecological Modeling 29
  • Computer Networks and Communications 103
  • Ecology 115
Replace Albert B. Kao with:
Albert B. Kao United States
Zsuzsa Ákos Hungary
Ioannis Psorakis United Kingdom
Jolyon J. Faria United Kingdom
Daniel I. Rubenstein United States
Gabriele Valentini United States
Steven V. Viscido United States
Robert Olendorf United States
Tim Landgraf Germany
Vivek H. Sridhar Germany
Benjamin Pettit relative to Albert B. Kao United States Albert B. Kao's profile →
Citations per field
00.5×3.2×
Albert B. Kao · 1×
Citations per year

Countries citing papers authored by Benjamin Pettit

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Pettit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Benjamin Pettit, 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 Benjamin Pettit Line = papers co-authored together Benjamin Pettit links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013127
2 201595
3 201286
4 201377
5 201939
6 201232
7 201618
8 202016
9 201712
10 20172

About Benjamin Pettit

Benjamin Pettit is a scholar working on Ecology, Evolution, Behavior and Systematics, Information Systems, Artificial Intelligence, Social Psychology and Developmental Biology, having authored 10 papers that have together received 504 indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (4 papers), Topic Modeling (3 papers), Animal Vocal Communication and Behavior (2 papers), Advanced Graph Neural Networks (2 papers), Recommender Systems and Techniques (2 papers), Advanced Text Analysis Techniques (1 paper), Expert finding and Q&A systems (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Developmental Biology (65 citations), Ecology, Evolution, Behavior and Systematics (257 citations), Ecological Modeling (29 citations), Computer Networks and Communications (103 citations) and Ecology (115 citations). Benjamin Pettit has collaborated with scholars based in United Kingdom, Hungary and Netherlands. Frequent co-authors include Dora Biro, Tamás Vicsek, Robin Freeman, Máté Nagy, Zsuzsa Ákos, Andrea Flack, Tim Guilford, Gábor Vásárhelyi, Andréa Perna and David J. T. Sumpter. Their work appears in journals such as Current Biology, ACM Transactions on Information Systems, Proceedings of the Royal Society B Biological Sciences, Royal Society Open Science 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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