Moshe Abeles

6.6k total citations · 2 hit papers
55 papers, 4.7k citations indexed

About

Moshe Abeles is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Moshe Abeles has authored 55 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Moshe Abeles's work include Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Moshe Abeles is often cited by papers focused on Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Moshe Abeles collaborates with scholars based in Israel, United States and Germany. Moshe Abeles's co-authors include Eran Stark, Eilon Vaadia, Hagai Bergman, Hamutal Slovin, Aeyal Raz, Asaph Nini, Rotem Drori, Moïse H. Goldstein, Yifat Prut and Merav Ahissar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Moshe Abeles

55 papers receiving 4.5k citations

Hit Papers

Corticonics neural circuits of the cerebral cortex 1982 2026 1996 2011 1991 1982 250 500 750

Peers

Moshe Abeles
Comparison fields: 5 of 124
  • Cognitive Neuroscience 3.8k
  • Cellular and Molecular Neuroscience 2.4k
  • Electrical and Electronic Engineering 669
  • Neurology 635
  • Artificial Intelligence 565
Replace Uri T. Eden with:
Uri T. Eden United States
Stefan Rotter Germany
Nicholas T. Carnevale United States
Tomoki Fukai Japan
Eilon Vaadia Israel
Gaute T. Einevoll Norway
Brent Doiron United States
Sonja Grün Germany
Zoltán Nádasdy United States
Jean‐Marc Fellous United States
Uri T. Eden United States View profile →
Citations per field, relative to Moshe Abeles
Moshe Abeles · 1×
Citations per year, relative to Moshe Abeles
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Countries citing papers authored by Moshe Abeles

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Abeles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Abeles

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Abeles. A scholar is included among the top collaborators of Moshe Abeles 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 Moshe Abeles. Moshe Abeles 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
# Work Indexed citations
1 1
2 10
3 11
4 52
5 61
6 19
7 1
8 38
9 24
10 20
11 66
12 233
13 34
14 61
15 56
16
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
3
17 170
18 1
19 44
20 470

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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