Gábor Simon

27 papers receiving 356 citations

Peers

Gábor Simon
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 128
  • Behavioral Neuroscience 20
  • Physiology 139
  • Endocrine and Autonomic Systems 19
  • Pharmacology 24
Replace Yuanyuan Hou with:
Yuanyuan Hou China
Eduard P.A. Van Wijk Netherlands
Digavalli V. Sivarao United States
Leonid V. Rosenshtraukh Russia
S. Eliash Israel
Ard Teisman Belgium
M Okamoto Japan
Gábor Simon relative to Yuanyuan Hou China Yuanyuan Hou's profile →
Citations per field
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Yuanyuan Hou · 1×
Citations per year

Countries citing papers authored by Gábor Simon

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Gábor Simon, 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 Gábor Simon Line = papers co-authored together Gábor Simon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981151
2 198155
3 200127
4 200219
5 200117
6 200314
7 199713
8 19959
9 19958
10 20038
11 20018
12 19988
13 19967
14 20067
15 19965
16 20175
17 20034
18 20184
19 20174
20 20233

About Gábor Simon

Gábor Simon is a scholar working on Biomedical Engineering, Materials Chemistry, Artificial Intelligence, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 36 papers that have together received 392 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Ultrasound and Cavitation Phenomena (5 papers), Language, Metaphor, and Cognition (4 papers), Hungarian Social, Economic and Educational Studies (4 papers), Analytical Chemistry and Chromatography (3 papers), Complex Network Analysis Techniques (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (128 citations), Behavioral Neuroscience (20 citations), Physiology (139 citations), Endocrine and Autonomic Systems (19 citations) and Pharmacology (24 citations). Gábor Simon has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include William L. Dewey, István Csabai, Joseph F. Borzelleca, Mogens T. Levinsen, Georges Grévillot, Predrag Cvitanović, Áron Horváth, Ferenc Szalai, Á. Horváth and Jeppe Seidelin Dam. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Chemical Engineering Science, Anesthesia & Analgesia, Physica A Statistical Mechanics and its Applications and Language Resources and Evaluation.

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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