Gábor Simon

521 citations
35 papers · 415 · h-index 9

Impact in

Papers in

Gábor Simon

29 papers receiving 377 citations

Peers

Gábor Simon
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 129
  • Physiology 138
  • Behavioral Neuroscience 19
  • Endocrine and Autonomic Systems 19
  • Pharmacology 22
Replace J. Barrie Harness with:
J. Barrie Harness United Kingdom
Ard C.H. Teisman Belgium
Yuanyuan Hou China
Mari Watanabe United States
Medvedev Os Russia
M Okamoto Japan
Enrique F. Castillo Mexico
Sarah Eliash Israel
Gábor Simon relative to J. Barrie Harness United Kingdom J. Barrie Harness's profile →
Citations per field
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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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981153
2 198158
3 200128
4 200219
5 200117
6 200315
7 199714
8 199510
9 20069
10 19969
11 20019
12 19959
13 19989
14 20038
15 20176
16 19965
17 19845
18 20184
19 20174
20 20234

About Gábor Simon

Gábor Simon is a scholar working on Statistical and Nonlinear Physics, Geography, Planning and Development, Experimental and Cognitive Psychology, Analytical Chemistry and Biomedical Engineering, having authored 35 papers that have together received 415 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 (3 papers), Analytical Chemistry and Chromatography (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Complex Network Analysis Techniques (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (129 citations), Physiology (138 citations), Behavioral Neuroscience (19 citations), Endocrine and Autonomic Systems (19 citations) and Pharmacology (22 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, Ákos Horváth and Jeppe Seidelin Dam. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Anesthesia & Analgesia, Chemical Engineering Science, Journal of Chromatography A 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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