T.D. Gedeon

1.8k citations
107 papers · 1.4k · h-index 18

Impact in

Papers in

T.D. Gedeon

102 papers receiving 1.3k citations

Peers

T.D. Gedeon
Comparison fields: 5 of 131
  • Artificial Intelligence 961
  • Management Science and Operations Research 236
  • Computational Theory and Mathematics 239
  • Statistics and Probability 93
  • Signal Processing 117
Replace Daniel Hernández-Lobato with:
Daniel Hernández-Lobato Spain
Steven A. Harp United States
Pengfei Shi China
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Arnaud Martin France
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Martin Takáč United States
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Citations per field
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Citations per year

Countries citing papers authored by T.D. Gedeon

Since Specialization
Citations

This map shows the geographic impact of T.D. Gedeon'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 T.D. Gedeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.D. Gedeon more than expected).

Fields of papers citing papers by T.D. Gedeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.D. Gedeon. 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 T.D. Gedeon. The network helps show where T.D. Gedeon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997131
2 2005121
3 1998111
4 200394
5 200280
6 200365
7 200365
8 200251
9 200442
10 199340
11 200037
12 200436
13
Investigation of Aggregation in Fuzzy Signatures
200531
14 200629
15 199722
16 200219
17 199317
18
Robot Cooperation without Explicit Communication by Fuzzy Signatures and Decision Trees
200917
19 199516
20 200616

About T.D. Gedeon

T.D. Gedeon is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (37 papers), Fuzzy Logic and Control Systems (35 papers), Multi-Criteria Decision Making (16 papers), Rough Sets and Fuzzy Logic (12 papers), Data Management and Algorithms (8 papers), Geochemistry and Geologic Mapping (7 papers), Fuzzy Systems and Optimization (7 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Artificial Intelligence (961 citations), Management Science and Operations Research (236 citations), Computational Theory and Mathematics (239 citations), Statistics and Probability (93 citations) and Signal Processing (117 citations). T.D. Gedeon has collaborated with scholars based in Australia, Hungary and United Kingdom. Frequent co-authors include László T. Kóczy, Domonkos Tikk, Kok Wai Wong, Warick Brown, Chun Che Fung, David I. Groves, Péter Bárányi, David Groves, L.T. Kóczy and P.M. Wong. Their work appears in journals such as Natural Resources Research, Fuzzy Sets and Systems, Transactions in GIS, The Computer Journal and Computational Intelligence and Neuroscience.

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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