Ehud Fonio

1.0k total citations
21 papers, 649 citations indexed

About

Ehud Fonio is a scholar working on Genetics, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Ehud Fonio has authored 21 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Computer Networks and Communications. Recurrent topics in Ehud Fonio's work include Insect and Arachnid Ecology and Behavior (9 papers), Distributed Control Multi-Agent Systems (4 papers) and Neural dynamics and brain function (3 papers). Ehud Fonio is often cited by papers focused on Insect and Arachnid Ecology and Behavior (9 papers), Distributed Control Multi-Agent Systems (4 papers) and Neural dynamics and brain function (3 papers). Ehud Fonio collaborates with scholars based in Israel, United States and France. Ehud Fonio's co-authors include Ilan Golani, Yoav Benjamini, Ofer Feinerman, Aviram Gelblum, Nir S. Gov, Itai Pinkoviezky, Abhijit Ghosh, Goren Gordon, Ehud Ahissar and Tal Galili and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Ehud Fonio

20 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehud Fonio Israel 14 156 152 125 124 111 21 649
Colin R. Twomey United States 10 105 0.7× 229 1.5× 85 0.7× 39 0.3× 78 0.7× 13 682
Tim Landgraf Germany 19 285 1.8× 395 2.6× 78 0.6× 101 0.8× 57 0.5× 46 786
Jacob M. Graving Germany 7 96 0.6× 151 1.0× 54 0.4× 76 0.6× 80 0.7× 9 656
Robert C. Hinz Portugal 5 129 0.8× 259 1.7× 92 0.7× 95 0.8× 126 1.1× 6 926
Einat Couzin-Fuchs Germany 12 164 1.1× 110 0.7× 100 0.8× 223 1.8× 16 0.1× 28 428
Yoram Gutfreund Israel 19 27 0.2× 408 2.7× 1.0k 8.2× 502 4.0× 166 1.5× 44 1.6k
Maud Combe France 11 237 1.5× 227 1.5× 18 0.1× 129 1.0× 21 0.2× 12 444
Stephanie E. Palmer United States 14 85 0.5× 92 0.6× 471 3.8× 197 1.6× 17 0.2× 36 773
Alex Cope United Kingdom 9 60 0.4× 64 0.4× 73 0.6× 104 0.8× 16 0.1× 17 265
Samuel A. Ocko United States 12 134 0.9× 124 0.8× 221 1.8× 164 1.3× 12 0.1× 17 473

Countries citing papers authored by Ehud Fonio

Since Specialization
Citations

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

Fields of papers citing papers by Ehud Fonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehud Fonio

This figure shows the co-authorship network connecting the top 25 collaborators of Ehud Fonio. A scholar is included among the top collaborators of Ehud Fonio 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 Ehud Fonio. Ehud Fonio 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.
Fonio, Ehud, et al.. (2025). Local rules and geometric constraints enable robust leaf-nest construction in weaver ants. Current Biology. 36(1). 188–198.e7.
2.
Korman, Amos, et al.. (2024). Comparing cooperative geometric puzzle solving in ants versus humans. Proceedings of the National Academy of Sciences. 122(1). e2414274121–e2414274121. 5 indexed citations
3.
Holder, Tobias, et al.. (2023). Connecting cooperative transport by ants with the physics of self-propelled particles. 1(2). 5 indexed citations
4.
Ayalon, Oran, et al.. (2021). Sequential Decision-Making in Ants and Implications to the Evidence Accumulation Decision Model. Frontiers in Applied Mathematics and Statistics. 7. 6 indexed citations
5.
Gelblum, Aviram, Ehud Fonio, Yoav Rodeh, Amos Korman, & Ofer Feinerman. (2020). Ant collective cognition allows for efficient navigation through disordered environments. eLife. 9. 10 indexed citations
6.
Fonio, Ehud, et al.. (2020). Working Together: Integrating Computational Modeling Approaches to Investigate Complex Phenomena. Journal of Science Education and Technology. 30(1). 40–57. 15 indexed citations
7.
Pinkoviezky, Itai, et al.. (2018). Bi-stability in cooperative transport by ants in the presence of obstacles. PLoS Computational Biology. 14(5). e1006068–e1006068. 15 indexed citations
8.
Feinerman, Ofer, Itai Pinkoviezky, Aviram Gelblum, Ehud Fonio, & Nir S. Gov. (2018). The physics of cooperative transport in groups of ants. Nature Physics. 14(7). 683–693. 107 indexed citations
9.
Gelblum, Aviram, Itai Pinkoviezky, Ehud Fonio, Nir S. Gov, & Ofer Feinerman. (2016). Emergent oscillations assist obstacle negotiation during ant cooperative transport. Proceedings of the National Academy of Sciences. 113(51). 14615–14620. 22 indexed citations
10.
11.
Gelblum, Aviram, Itai Pinkoviezky, Ehud Fonio, et al.. (2015). Ant groups optimally amplify the effect of transiently informed individuals. Nature Communications. 6(1). 7729–7729. 119 indexed citations
12.
Gordon, Goren, Ehud Fonio, & Ehud Ahissar. (2014). Learning and control of exploration primitives. Journal of Computational Neuroscience. 37(2). 259–280. 10 indexed citations
13.
Gordon, Goren, Ehud Fonio, & Ehud Ahissar. (2014). Emergent Exploration via Novelty Management. Journal of Neuroscience. 34(38). 12646–12661. 24 indexed citations
14.
Fonio, Ehud, Ilan Golani, & Yoav Benjamini. (2012). Measuring behavior of animal models: faults and remedies. Nature Methods. 9(12). 1167–1170. 59 indexed citations
15.
Fonio, Ehud, Yoav Benjamini, & Ilan Golani. (2012). Short and Long Term Measures of Anxiety Exhibit Opposite Results. PLoS ONE. 7(10). e48414–e48414. 28 indexed citations
16.
Dvorkin‐Gheva, Anna, et al.. (2011). Validation of the dimensionality emergence assay for the measurement of innate anxiety in laboratory mice. European Neuropsychopharmacology. 22(2). 153–163. 15 indexed citations
17.
Benjamini, Yoav, et al.. (2011). Quantifying the buildup in extent and complexity of free exploration in mice. Proceedings of the National Academy of Sciences. 108(supplement_3). 15580–15587. 43 indexed citations
18.
Benjamini, Yoav, Dina Lipkind, Guy Horev, et al.. (2010). Ten ways to improve the quality of descriptions of whole-animal movement. Neuroscience & Biobehavioral Reviews. 34(8). 1351–1365. 39 indexed citations
19.
Fonio, Ehud, Yoav Benjamini, & Ilan Golani. (2009). Freedom of movement and the stability of its unfolding in free exploration of mice. Proceedings of the National Academy of Sciences. 106(50). 21335–21340. 69 indexed citations
20.
Fonio, Ehud, Yoav Benjamini, Anat Sakov, & Ilan Golani. (2005). Wild mouse open field behavior is embedded within the multidimensional data space spanned by laboratory inbred strains. Genes Brain & Behavior. 5(5). 380–388. 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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