Avi Caspi

3.4k citations
83 papers · 2.3k · h-index 21

Impact in

Papers in

Avi Caspi

82 papers receiving 2.2k citations

Peers

Avi Caspi
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 779
  • Modeling and Simulation 156
  • Cognitive Neuroscience 361
  • Statistical and Nonlinear Physics 195
  • Cardiology and Cardiovascular Medicine 293
Replace Gerold Baier with:
Gerold Baier Germany
Mathilde Badoual France
Dmitri Volfson United States
John Jeremy Rice United States
Р. Р. Алиев Russia
Д. А. Павлов Russia
Leonardo Sacconi Italy
Enrique Álvarez-Lacalle Spain
Néstor Sepúlveda United States
Gerda de Vries Canada
Avi Caspi relative to Gerold Baier Germany Gerold Baier's profile →
Citations per field
00.5×11.7×
Gerold Baier · 1×
Citations per year

Countries citing papers authored by Avi Caspi

Since Specialization
Citations

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

Fields of papers citing papers by Avi Caspi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Avi Caspi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Avi Caspi Line = papers co-authored together Avi Caspi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000365
2 2010212
3 2002194
4 2012130
5 2003126
6 2009116
7 200398
8 200494
9 200692
10 201389
11 200970
12 199868
13 199864
14 199038
15 200535
16 201835
17 200132
18 201427
19 201725
20 200925

About Avi Caspi

Avi Caspi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (34 papers), EEG and Brain-Computer Interfaces (18 papers), Advanced Memory and Neural Computing (10 papers), Tactile and Sensory Interactions (8 papers), Gaze Tracking and Assistive Technology (8 papers), Cardiac Arrhythmias and Treatments (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (779 citations), Modeling and Simulation (156 citations), Cognitive Neuroscience (361 citations), Statistical and Nonlinear Physics (195 citations) and Cardiology and Cardiovascular Medicine (293 citations). Avi Caspi has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael Elbaum, Rony Granek, Robert J. Greenberg, Jessy D. Dorn, Matthew J. McMahon, Gislin Dagnelie, Ari Z. Zivotofsky, Lyndon daCruz, Arvind Ahuja and Mark S. Humayun. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Vision, Translational Vision Science & Technology, American Heart Journal and Vision Research.

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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