T.D. Gedeon

1.8k citations
87 papers · 1.1k indexed · h-index 15

Impact in

Papers in

T.D. Gedeon

85 papers receiving 1.0k citations

Peers

T.D. Gedeon
Comparison fields: 5 of 127
  • Artificial Intelligence 746
  • Management Science and Operations Research 189
  • Computational Theory and Mathematics 183
  • Statistics and Probability 79
  • Signal Processing 89
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Daniel Hernández-Lobato Spain
Steven A. Harp United States
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Xiaowei Gu United Kingdom
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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-authorship network

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
#Work
1
Fuzzy Output Error
20122
2 20121
3
Local Codebook Construction for Fuzzy Communication in Cooperation of Mobile Robots
20085
4 20072
5 20071
6 20069
7
Investigation of Aggregation in Fuzzy Signatures
200527
8 20032
9 200379
10 20032
11
Intelligent well log data analysis: a comparison study
20021
12 20022
13
Effective fuzzy systems for complex structured data
20016
14
Generalisation of a Rule Interpolation Method Resulting Always in Acceptable Conclusion
20009
15
Petrophysical properties prediction using self-generating fuzzy rules inference system with modified alpha-cut based fuzzy interpolation
200012
16 19982
17 19987
18 199898
19
Extending CasPer: A Regression Survey.
19978
20 199329

About T.D. Gedeon

T.D. Gedeon is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Statistics and Probability and Computational Theory and Mathematics, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (31 papers), Neural Networks and Applications (29 papers), Multi-Criteria Decision Making (14 papers), Rough Sets and Fuzzy Logic (9 papers), Fuzzy Systems and Optimization (7 papers), Data Management and Algorithms (6 papers), Reservoir Engineering and Simulation Methods (5 papers) and Geochemistry and Geologic Mapping (5 papers). The work is most often cited by research in Artificial Intelligence (746 citations), Management Science and Operations Research (189 citations), Computational Theory and Mathematics (183 citations), Statistics and Probability (79 citations) and Signal Processing (89 citations). T.D. Gedeon has collaborated with scholars based in Australia, Hungary and United Kingdom. Frequent co-authors include László T. Kóczy, Domonkos Tikk, Warick Brown, Kok Wai Wong, Chun Che Fung, Péter Bárányi, David I. Groves, David Groves, L.T. Kóczy and Péter Várlaki. Their work appears in journals such as Fuzzy Sets and Systems, Natural Resources Research, Information Sciences, International Journal of Approximate Reasoning and Pattern Analysis and Applications.

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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