Eyal Hulata

12 total papers · 698 total citations
12 papers, 550 citations indexed

About

Eyal Hulata is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Eyal Hulata has authored 12 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Eyal Hulata's work include Neural dynamics and brain function (9 papers), Neural Networks and Applications (4 papers) and stochastic dynamics and bifurcation (3 papers). Eyal Hulata is often cited by papers focused on Neural dynamics and brain function (9 papers), Neural Networks and Applications (4 papers) and stochastic dynamics and bifurcation (3 papers). Eyal Hulata collaborates with scholars based in Israel, United States and Switzerland. Eyal Hulata's co-authors include Eshel Ben‐Jacob, Ronen Segev, Yoash Shapira, Morris Benveniste, E. Kapon, Netta Cohen, A. Palevski, Valery A. Zheludev, Amir Averbuch and Itay Baruchi and has published in prestigious journals such as Physical Review Letters, Neuroreport and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Eyal Hulata

12 papers receiving 536 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eyal Hulata 351 245 101 78 71 12 550
Hans G. C. Tråvén 221 0.6× 214 0.9× 51 0.5× 38 0.5× 58 0.8× 7 574
Robert A. Baxter 421 1.2× 234 1.0× 75 0.7× 33 0.4× 160 2.3× 16 556
Shivkumar Sabesan 355 1.0× 220 0.9× 71 0.7× 52 0.7× 24 0.3× 16 484
Morteza Alamgir 339 1.0× 121 0.5× 35 0.3× 90 1.2× 99 1.4× 10 478
Bill Baird 399 1.1× 105 0.4× 87 0.9× 28 0.4× 51 0.7× 28 572
Fernando Montani 443 1.3× 172 0.7× 164 1.6× 29 0.4× 67 0.9× 41 595
Michael J. Korenberg 124 0.4× 60 0.2× 36 0.4× 56 0.7× 53 0.7× 14 520
Douglas Zhou 342 1.0× 181 0.7× 199 2.0× 25 0.3× 92 1.3× 56 563
Keiji Miura 325 0.9× 239 1.0× 80 0.8× 10 0.1× 41 0.6× 41 574
William R. Softky 479 1.4× 304 1.2× 125 1.2× 12 0.2× 104 1.5× 10 541

Countries citing papers authored by Eyal Hulata

Since Specialization
Citations

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

Fields of papers citing papers by Eyal Hulata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Hulata

This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Hulata. A scholar is included among the top collaborators of Eyal Hulata 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 Eyal Hulata. Eyal Hulata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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