Noa Pinter‐Wollman

4.4k total citations · 1 hit paper
91 papers, 2.8k citations indexed

About

Noa Pinter‐Wollman is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, Noa Pinter‐Wollman has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Ecology, Evolution, Behavior and Systematics, 63 papers in Genetics and 15 papers in Ecology. Recurrent topics in Noa Pinter‐Wollman's work include Plant and animal studies (58 papers), Insect and Arachnid Ecology and Behavior (55 papers) and Animal Behavior and Reproduction (52 papers). Noa Pinter‐Wollman is often cited by papers focused on Plant and animal studies (58 papers), Insect and Arachnid Ecology and Behavior (55 papers) and Animal Behavior and Reproduction (52 papers). Noa Pinter‐Wollman collaborates with scholars based in United States, Canada and Israel. Noa Pinter‐Wollman's co-authors include Deborah M. Gordon, Jonathan N. Pruitt, Lynette A. Hart, Jennifer E. Smith, Susan Holmes, Anna Dornhaus, Mason A. Porter, Matthew J. Silk, Lynne A. Isbell and Andrea Jelić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Noa Pinter‐Wollman

86 papers receiving 2.7k citations

Hit Papers

Behavioural ecology at the spatial–social interface 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noa Pinter‐Wollman United States 27 1.8k 1.4k 567 436 334 91 2.8k
Sean A. Rands United Kingdom 26 1.3k 0.8× 667 0.5× 343 0.6× 190 0.4× 226 0.7× 80 2.0k
Jonathan N. Pruitt United States 30 3.0k 1.7× 1.8k 1.3× 818 1.4× 265 0.6× 295 0.9× 133 3.7k
Nicola M. Marples Ireland 25 1.6k 0.9× 521 0.4× 627 1.1× 216 0.5× 95 0.3× 81 2.3k
Tim W. Fawcett United Kingdom 26 1.2k 0.7× 411 0.3× 485 0.9× 494 1.1× 361 1.1× 54 2.3k
Yuying Hsu Taiwan 22 1.1k 0.6× 1.6k 1.1× 416 0.7× 536 1.2× 216 0.6× 43 3.1k
Kate L. Laskowski United States 20 2.3k 1.3× 584 0.4× 1.0k 1.8× 413 0.9× 144 0.4× 45 3.0k
Thomas W. Pike United Kingdom 29 1.4k 0.8× 416 0.3× 740 1.3× 340 0.8× 209 0.6× 75 2.3k
Zoltán Barta Hungary 41 2.6k 1.5× 603 0.4× 2.2k 3.9× 323 0.7× 539 1.6× 149 4.4k
Indriķis Krams Latvia 41 2.3k 1.3× 551 0.4× 1.5k 2.7× 412 0.9× 319 1.0× 153 4.3k
Tatjana Krama Latvia 31 1.4k 0.8× 300 0.2× 861 1.5× 262 0.6× 220 0.7× 93 2.6k

Countries citing papers authored by Noa Pinter‐Wollman

Since Specialization
Citations

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

Fields of papers citing papers by Noa Pinter‐Wollman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noa Pinter‐Wollman. 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 Noa Pinter‐Wollman. The network helps show where Noa Pinter‐Wollman may publish in the future.

Co-authorship network of co-authors of Noa Pinter‐Wollman

This figure shows the co-authorship network connecting the top 25 collaborators of Noa Pinter‐Wollman. A scholar is included among the top collaborators of Noa Pinter‐Wollman 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 Noa Pinter‐Wollman. Noa Pinter‐Wollman 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
2.
Lysnyansky, Inna, et al.. (2024). Social interactions do not affect mycoplasma infection in griffon vultures. Royal Society Open Science. 11(12). 240500–240500. 1 indexed citations
3.
Pinter‐Wollman, Noa, et al.. (2024). Personality and body mass impact social group formation and function in paper wasps. Animal Behaviour. 213. 207–218. 3 indexed citations
4.
Acácio, Marta, Ohad Hatzofe, Roi Harel, et al.. (2024). Behavioral plasticity shapes population aging patterns in a long-lived avian scavenger. Proceedings of the National Academy of Sciences. 121(35). e2407298121–e2407298121. 2 indexed citations
5.
Nguyen, Ryan Y., et al.. (2024). A wrap-around movement path randomization method to distinguish social and spatial drivers of animal interactions. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1912). 20220531–20220531. 1 indexed citations
6.
Dantzer, Ben, Karen E. Mabry, Joey R. Bernhardt, et al.. (2023). Understanding Organisms Using Ecological Observatory Networks. Integrative Organismal Biology. 5(1). obad036–obad036. 2 indexed citations
7.
Spiegel, Orr, et al.. (2023). Social situations differ in their contribution to population‐level social structure in griffon vultures. Ecology and Evolution. 13(6). e10139–e10139. 7 indexed citations
8.
Miller, Julie, et al.. (2021). Modularity and connectivity of nest structure scale with colony size. Evolution. 76(1). 101–113. 2 indexed citations
9.
Cook, Chelsea N., Thiago Mosqueiro, Cahit Öztürk, et al.. (2020). Individual learning phenotypes drive collective behavior. Proceedings of the National Academy of Sciences. 117(30). 17949–17956. 38 indexed citations
10.
Tong, Chao, et al.. (2020). Comparative Genomics Identifies Putative Signatures of Sociality in Spiders. Genome Biology and Evolution. 12(3). 122–133. 11 indexed citations
11.
Hunt, Edmund R., et al.. (2019). Resting networks and personality predict attack speed in social spiders. Behavioral Ecology and Sociobiology. 73(7). 7 indexed citations
12.
Pilko, Anna, et al.. (2018). Underlying mechanisms and ecological context of variation in exploratory behavior of the Argentine ant, Linepithema humile. Journal of Experimental Biology. 221(Pt 24). 11 indexed citations
13.
Hunt, Edmund R., et al.. (2018). Social interactions shape individual and collective personality in social spiders. Proceedings of the Royal Society B Biological Sciences. 285(1886). 20181366–20181366. 17 indexed citations
14.
Pruitt, Jonathan N., Andrew M. Berdahl, Christina Riehl, et al.. (2018). Social tipping points in animal societies. Proceedings of the Royal Society B Biological Sciences. 285(1887). 20181282–20181282. 27 indexed citations
15.
Silk, Matthew J., et al.. (2017). Novel insights into animal sociality from multilayer networks. arXiv (Cornell University). 4 indexed citations
16.
Pruitt, Jonathan N., et al.. (2017). Selection for Collective Aggressiveness Favors Social Susceptibility in Social Spiders. Current Biology. 28(1). 100–105.e4. 16 indexed citations
17.
Lichtenstein, James L. L., et al.. (2017). The multidimensional behavioural hypervolumes of two interacting species predict their space use and survival. Animal Behaviour. 132. 129–136. 11 indexed citations
18.
Pinter‐Wollman, Noa, Stephen M. Fiore, & Guy Théraulaz. (2017). The impact of architecture on collective behaviour. Nature Ecology & Evolution. 1(5). 111–111. 38 indexed citations
19.
Pinter‐Wollman, Noa, et al.. (2015). An introduction to the special column on animal social networks. Current Zoology. 61(1). 42–44. 1 indexed citations
20.
Carey, James R., Noa Pinter‐Wollman, Mary F. Wyman, et al.. (2006). A search for principles of disability using experimental impairment of Drosophila melanogaster. Experimental Gerontology. 42(3). 166–172. 19 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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