Micha Abeles

19.4k total citations · 2 hit papers
82 papers, 6.3k citations indexed

About

Micha Abeles is a scholar working on Cognitive Neuroscience, Rheumatology and Artificial Intelligence. According to data from OpenAlex, Micha Abeles has authored 82 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 19 papers in Rheumatology and 16 papers in Artificial Intelligence. Recurrent topics in Micha Abeles's work include Neural dynamics and brain function (38 papers), Neural Networks and Applications (16 papers) and Neuroscience and Neural Engineering (13 papers). Micha Abeles is often cited by papers focused on Neural dynamics and brain function (38 papers), Neural Networks and Applications (16 papers) and Neuroscience and Neural Engineering (13 papers). Micha Abeles collaborates with scholars based in Israel, United States and Germany. Micha Abeles's co-authors include Eilon Vaadia, Moïse H. Goldstein, Hagai Bergman, Yifat Prut, H. C. Bergman, Aryeh M. Abeles, Glenn Affleck, Susan Urrows, G. L. Gerstein and E. Margalit and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Micha Abeles

80 papers receiving 6.0k citations

Hit Papers

Corticonics 1991 2026 2002 2014 1991 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micha Abeles Israel 36 4.1k 1.8k 706 681 618 82 6.3k
Charles J. Bruce United States 53 9.7k 2.4× 2.0k 1.1× 236 0.3× 224 0.3× 361 0.6× 163 15.7k
Joseph R. Madsen United States 54 7.5k 1.8× 4.0k 2.2× 148 0.2× 209 0.3× 2.3k 3.7× 249 12.3k
Emad N. Eskandar United States 49 4.8k 1.2× 2.8k 1.6× 113 0.2× 234 0.3× 808 1.3× 209 9.1k
Loren M. Frank United States 54 8.5k 2.1× 7.2k 3.9× 440 0.6× 551 0.8× 1.0k 1.7× 132 11.4k
Mark P. Richardson United Kingdom 60 6.3k 1.5× 2.5k 1.4× 155 0.2× 134 0.2× 5.1k 8.2× 254 10.8k
Andreas Schulze‐Bonhage Germany 67 10.3k 2.5× 5.3k 2.9× 368 0.5× 516 0.8× 6.9k 11.1× 504 16.4k
Ludovico Minati Italy 42 2.5k 0.6× 473 0.3× 200 0.3× 238 0.3× 884 1.4× 184 5.2k
Michel Baulac France 64 6.4k 1.6× 5.6k 3.1× 153 0.2× 94 0.1× 6.5k 10.5× 262 15.5k
Michael Bach Germany 62 5.9k 1.4× 2.5k 1.4× 89 0.1× 249 0.4× 904 1.5× 358 16.2k
Adam N. Mamelak United States 51 3.3k 0.8× 1.6k 0.9× 103 0.1× 183 0.3× 480 0.8× 159 7.4k

Countries citing papers authored by Micha Abeles

Since Specialization
Citations

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

Fields of papers citing papers by Micha Abeles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Abeles

This figure shows the co-authorship network connecting the top 25 collaborators of Micha Abeles. A scholar is included among the top collaborators of Micha 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 Micha Abeles. Micha 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
1.
Abeles, Aryeh M., Manuel Gomez‐Ramirez, Micha Abeles, & Shyoko Honiden. (2016). Antinuclear antibody testing: discordance between commercial laboratories. Clinical Rheumatology. 35(7). 1713–1718. 13 indexed citations
2.
Tal, Idan & Micha Abeles. (2013). Cleaning MEG artifacts using external cues. Journal of Neuroscience Methods. 217(1-2). 31–38. 65 indexed citations
3.
Robinson, Stephen E., et al.. (2013). Extracting cortical current dipoles from MEG recordings. Journal of Neuroscience Methods. 220(2). 190–196. 3 indexed citations
4.
Abeles, Micha. (2013). Revealing instances of coordination among multiple cortical areas. Biological Cybernetics. 108(5). 665–675. 9 indexed citations
5.
Abeles, Aryeh M. & Micha Abeles. (2013). The Clinical Utility of a Positive Antinuclear Antibody Test Result. The American Journal of Medicine. 126(4). 342–348. 112 indexed citations
6.
Abeles, Micha, W. D. Keidel, & W. D. Neff. (2012). Auditory System : Physiology (CNS) Behavioral Studies Psychoacoustics. Medical Entomology and Zoology.
7.
Abeles, Micha, Bruce Solitar, Michael H. Pillinger, & Aryeh M. Abeles. (2008). Update on Fibromyalgia Therapy. The American Journal of Medicine. 121(7). 555–561. 56 indexed citations
8.
Affleck, Glenn, Howard Tennen, Alex Zautra, et al.. (2001). Women's pursuit of personal goals in daily life with fibromyalgia: A value-expectancy analysis.. Journal of Consulting and Clinical Psychology. 69(4). 587–596. 96 indexed citations
9.
Clements, Philip J., Daniel E. Fürst, Weng Kee Wong, et al.. (1999). High-dose versus low-dose D-penicillamine in early diffuse systemic sclerosis: Analysis of a two-year, double-blind, randomized, controlled clinical trial. Arthritis & Rheumatism. 42(6). 1194–1203. 210 indexed citations
10.
Affleck, Glenn, Howard Tennen, Susan Urrows, et al.. (1998). Fibromyalgia and women's pursuit of personal goals: A daily process analysis.. Health Psychology. 17(1). 40–47. 2 indexed citations
11.
Affleck, Glenn, Susan Urrows, Howard Tennen, Pamela Higgins, & Micha Abeles. (1996). Sequential daily relations of sleep, pain intensity, and attention to pain among women with fibromyalgia. Pain. 68(2). 363–368. 363 indexed citations
12.
Abeles, Micha & Yifat Prut. (1996). Spatio-temporal firing patterns in the frontal cortex of behaving monkeys. Journal of Physiology-Paris. 90(3-4). 249–250. 30 indexed citations
13.
Abeles, Micha, Yifat Prut, Hagai Bergman, & Eilon Vaadia. (1994). Synchronization in neuronal transmission and its importance for information processing. Progress in brain research. 102. 395–404. 121 indexed citations
14.
Nelken, Israel, et al.. (1994). Population responses to multifrequency sounds in the cat auditory cortex: Four-tone complexes. Hearing Research. 72(1-2). 223–236. 26 indexed citations
15.
Manu, Peter, et al.. (1994). Alpha-Delta Sleep in Patients With a Chief Complaint of Chronic Fatigue. Southern Medical Journal. 87(4). 465–470. 65 indexed citations
16.
Abeles, Micha. (1991). The auditory cortex: Structural and functional bases of auditory perception. Trends in Neurosciences. 14(5). 214–214. 23 indexed citations
17.
Abeles, Micha, Eilon Vaadia, & Hagai Bergman. (1990). Firing patterns of single units in the prefrontal cortex and neural network models. Network Computation in Neural Systems. 1(1). 13–25. 32 indexed citations
18.
Abeles, Micha, et al.. (1990). Does the acetyl group of aspirin contribute to the antiinflammatory efficacy of salicylic acid in the treatment of rheumatoid arthritis?. PubMed. 19(4 Suppl 2). 20–8. 17 indexed citations
19.
Vaadia, Eilon, et al.. (1989). Single unit activity in the auditory cortex of a monkey performing a short term memory task. Experimental Brain Research. 74(1). 139–48. 74 indexed citations
20.
Abeles, Micha & Y. Lass. (1975). Transmission of information by the axon: II. The channel capacity. Biological Cybernetics. 19(3). 121–125. 17 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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