Nava Levit‐Binnun

70 total papers · 1.7k total citations
46 papers, 1.1k citations indexed

About

Nava Levit‐Binnun is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Nava Levit‐Binnun has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 15 papers in Clinical Psychology and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Nava Levit‐Binnun's work include Functional Brain Connectivity Studies (10 papers), Neural and Behavioral Psychology Studies (9 papers) and Mindfulness and Compassion Interventions (9 papers). Nava Levit‐Binnun is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Neural and Behavioral Psychology Studies (9 papers) and Mindfulness and Compassion Interventions (9 papers). Nava Levit‐Binnun collaborates with scholars based in Israel, United States and United Kingdom. Nava Levit‐Binnun's co-authors include Yulia Golland, Michael Davidovitch, Tamar Flash, Yossi Arzouan, Elisha Moses, Talma Hendler, Ohad Szepsenwol, Antonino Casile, Martin A. Giese and Eran Dayan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Nava Levit‐Binnun

45 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Nava Levit‐Binnun	581	366	333	218	173	46	1.1k
Frédéric Andersson	734 1.3×	278 0.8×	166 0.5×	222 1.0×	130 0.8×	50	1.2k
Yvonne Kuepper	596 1.0×	301 0.8×	326 1.0×	315 1.4×	179 1.0×	23	1.3k
Andreas Finkelmeyer	515 0.9×	314 0.9×	273 0.8×	379 1.7×	530 3.1×	42	1.4k
R. Michael Brown	669 1.2×	454 1.2×	260 0.8×	271 1.2×	87 0.5×	43	1.4k
John P. Zubek	525 0.9×	277 0.8×	145 0.4×	278 1.3×	112 0.6×	73	1.4k
Roma Šiugždaitė	480 0.8×	143 0.4×	351 1.1×	184 0.8×	174 1.0×	34	1.0k
Caroline Di Bernardi Luft	663 1.1×	183 0.5×	187 0.6×	341 1.6×	122 0.7×	46	1.4k
Conny W.E.M. Quaedflieg	687 1.2×	250 0.7×	254 0.8×	362 1.7×	118 0.7×	52	1.4k
John B. Levine	248 0.4×	374 1.0×	455 1.4×	105 0.5×	166 1.0×	29	1.4k
Xavier Caldú	646 1.1×	145 0.4×	277 0.8×	259 1.2×	244 1.4×	35	1.5k

Countries citing papers authored by Nava Levit‐Binnun

Since Specialization

Citations

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

Fields of papers citing papers by Nava Levit‐Binnun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nava Levit‐Binnun. 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 Nava Levit‐Binnun. The network helps show where Nava Levit‐Binnun may publish in the future.

Co-authorship network of co-authors of Nava Levit‐Binnun

This figure shows the co-authorship network connecting the top 25 collaborators of Nava Levit‐Binnun. A scholar is included among the top collaborators of Nava Levit‐Binnun 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 Nava Levit‐Binnun. Nava Levit‐Binnun 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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