Eric M. Patterson

1.0k total citations
26 papers, 649 citations indexed

About

Eric M. Patterson is a scholar working on Ecology, Developmental Biology and Social Psychology. According to data from OpenAlex, Eric M. Patterson has authored 26 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 11 papers in Developmental Biology and 5 papers in Social Psychology. Recurrent topics in Eric M. Patterson's work include Marine animal studies overview (21 papers), Animal Vocal Communication and Behavior (11 papers) and Wildlife Ecology and Conservation (6 papers). Eric M. Patterson is often cited by papers focused on Marine animal studies overview (21 papers), Animal Vocal Communication and Behavior (11 papers) and Wildlife Ecology and Conservation (6 papers). Eric M. Patterson collaborates with scholars based in United States, Australia and United Kingdom. Eric M. Patterson's co-authors include Janet Mann, Ewa Krzyszczyk, Margaret A. Stanton, Lisa Singh, Elisa Jayne Bienenstock, Céline Frère, Lars Bejder, Jana J. Watson-Capps, Michael Krützen and Richard C. Connor and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Eric M. Patterson

25 papers receiving 628 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric M. Patterson United States 13 433 273 197 159 100 26 649
Heather M. Hill United States 14 460 1.1× 253 0.9× 121 0.6× 121 0.8× 100 1.0× 81 641
Brooke L. Sargeant United States 9 583 1.3× 326 1.2× 167 0.8× 106 0.7× 108 1.1× 11 715
Susan Lingle Canada 17 604 1.4× 284 1.0× 272 1.4× 181 1.1× 146 1.5× 29 970
A. Catherine Markham United States 14 191 0.4× 179 0.7× 284 1.4× 437 2.7× 78 0.8× 26 633
Benjamin J. Ashton Australia 11 194 0.4× 144 0.5× 407 2.1× 261 1.6× 68 0.7× 27 555
Shermin de Silva United States 13 433 1.0× 209 0.8× 178 0.9× 240 1.5× 153 1.5× 25 667
Claudia Mettke‐Hofmann United Kingdom 16 386 0.9× 123 0.5× 483 2.5× 241 1.5× 109 1.1× 28 837
Katito Sayialel United Kingdom 8 353 0.8× 140 0.5× 215 1.1× 293 1.8× 168 1.7× 8 665
Margaret A. Stanton United States 16 309 0.7× 311 1.1× 291 1.5× 512 3.2× 176 1.8× 25 873
Benjamin J. Pitcher Australia 19 593 1.4× 546 2.0× 567 2.9× 124 0.8× 151 1.5× 41 1.0k

Countries citing papers authored by Eric M. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric M. Patterson. 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 Eric M. Patterson. The network helps show where Eric M. Patterson may publish in the future.

Co-authorship network of co-authors of Eric M. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Patterson. A scholar is included among the top collaborators of Eric M. Patterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric M. Patterson. Eric M. Patterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urian, Kim W., et al.. (2025). Seasonal contact and migration structure mass epidemics and inform outbreak preparedness in a vulnerable marine mammal. Proceedings of the Royal Society B Biological Sciences. 292(2051). 20250698–20250698. 1 indexed citations
2.
Garrison, Lance, et al.. (2025). The effects of vessel speed and size on the lethality of strikes of large whales in U.S. waters. Frontiers in Marine Science. 11. 1 indexed citations
3.
Garrison, Lance, et al.. (2025). Vessel strike encounter risk model informs mortality risk for endangered North Atlantic right whales along the United States east coast. Scientific Reports. 15(1). 736–736. 2 indexed citations
4.
Foroughirad, Vivienne, et al.. (2025). Breathing synchrony shapes respiratory disease risk in bottlenose dolphins. Communications Biology. 8(1). 870–870. 2 indexed citations
5.
Patterson, Eric M., et al.. (2024). Automated skin lesion detection and prevalence estimation in Tamanend's bottlenose dolphins. Ecological Informatics. 85. 102942–102942.
6.
Redfern, Jessica V., Daniel E. Pendleton, Amy R. Knowlton, et al.. (2024). Estimating reductions in the risk of vessels striking whales achieved by management strategies. Biological Conservation. 290. 110427–110427. 4 indexed citations
8.
Subiaul, Francys, Eric M. Patterson, Laura Zimmermann, & Rachel Barr. (2018). Only domain-specific imitation practice makes imitation perfect. Journal of Experimental Child Psychology. 177. 248–264. 3 indexed citations
9.
Patterson, Eric M., et al.. (2018). Calf age and sex affect maternal diving behaviour in Shark Bay bottlenose dolphins. Animal Behaviour. 137. 107–117. 12 indexed citations
10.
Strickland, Kasha, Eric M. Patterson, & Céline Frère. (2018). Eastern water dragons use alternative social tactics at different local densities. Behavioral Ecology and Sociobiology. 72(9). 13 indexed citations
11.
Krzyszczyk, Ewa, Eric M. Patterson, Margaret A. Stanton, & Janet Mann. (2017). The transition to independence: sex differences in social and behavioural development of wild bottlenose dolphins. Animal Behaviour. 129. 43–59. 36 indexed citations
12.
Rankin, R.W., Janet Mann, Lisa Singh, et al.. (2016). The role of weighted and topological network information to understand animal social networks: a null model approach. Animal Behaviour. 113. 215–228. 7 indexed citations
13.
Patterson, Eric M., Ewa Krzyszczyk, & Janet Mann. (2015). Age-specific foraging performance and reproduction in tool-using wild bottlenose dolphins. Behavioral Ecology. 27(2). 401–410. 23 indexed citations
14.
Subiaul, Francys, Eric M. Patterson, & Rachel Barr. (2015). The cognitive structure of goal emulation during the preschool years. British Journal of Developmental Psychology. 34(1). 132–149. 9 indexed citations
15.
Mann, Janet & Eric M. Patterson. (2013). Tool use by aquatic animals. Philosophical Transactions of the Royal Society B Biological Sciences. 368(1630). 20120424–20120424. 68 indexed citations
16.
Patterson, Eric M.. (2012). Ecological and life history factors influence habitat and tool use in wild bottlenose dolphins (Tursiops sp.). DigitalGeorgetown (Georgetown University Library). 12 indexed citations
17.
Mann, Janet, Margaret A. Stanton, Eric M. Patterson, Elisa Jayne Bienenstock, & Lisa Singh. (2012). Social networks reveal cultural behaviour in tool-using dolphins. Nature Communications. 3(1). 980–980. 139 indexed citations
18.
Patterson, Eric M. & Janet Mann. (2011). The Ecological Conditions That Favor Tool Use and Innovation in Wild Bottlenose Dolphins (Tursiops sp.). PLoS ONE. 6(7). e22243–e22243. 48 indexed citations
19.
Frère, Céline, et al.. (2010). Thar She Blows! A Novel Method for DNA Collection from Cetacean Blow. PLoS ONE. 5(8). e12299–e12299. 35 indexed citations
20.
Frère, Céline, Michael Krützen, Janet Mann, et al.. (2010). Home range overlap, matrilineal and biparental kinship drive female associations in bottlenose dolphins. Animal Behaviour. 80(3). 481–486. 103 indexed citations

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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