Thomas Gabor

1.8k citations
103 papers · 938 indexed · h-index 13

Impact in

Papers in

Thomas Gabor

88 papers receiving 849 citations

Peers

Thomas Gabor
Comparison fields: 5 of 125
  • Industrial and Manufacturing Engineering 201
  • Artificial Intelligence 261
  • Sociology and Political Science 272
  • Health 52
  • Safety, Risk, Reliability and Quality 46
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Haifeng Du China
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Benyun Shi China
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Katarzyna Musiał Australia
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E. M. Almahdi Iraq
Christopher J. Lynch United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Gabor

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gabor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Gabor, 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 Thomas Gabor Line = papers co-authored together Thomas Gabor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016186
2 2019111
3 198473
4 198150
5 198947
6 201737
7 200430
8 195926
9 202024
10 201520
11 200415
12 199013
13 202112
14 202012
15 196910
16 198110
17 200110
18 201610
19 20229
20 19898

About Thomas Gabor

Thomas Gabor is a scholar working on Artificial Intelligence, Sociology and Political Science, Computational Theory and Mathematics, Electrical and Electronic Engineering and Health, having authored 103 papers that have together received 938 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (22 papers), Quantum Information and Cryptography (16 papers), Reinforcement Learning in Robotics (9 papers), Gun Ownership and Violence Research (7 papers), Evolutionary Algorithms and Applications (6 papers), Crime Patterns and Interventions (5 papers), Quantum-Dot Cellular Automata (5 papers) and Suicide and Self-Harm Studies (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (201 citations), Artificial Intelligence (261 citations), Sociology and Political Science (272 citations), Health (52 citations) and Safety, Risk, Reliability and Quality (46 citations). Thomas Gabor has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Lenz Belzner, Claudia Linnhoff‐Popien, Michael Till Beck, Alexander Neitz, Sebastian Feld, Wolfgang Mauerer, Florian Neukart, Christian Seidel, R. M. Barrer and Thomy Phan. Their work appears in journals such as Journal of The Electrochemical Society, Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale, Nature, Journal of Crystal Growth and Deviant Behavior.

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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