L.T. Kóczy

557 citations
25 papers · 452 · h-index 8

Impact in

Papers in

L.T. Kóczy

24 papers receiving 402 citations

Peers

L.T. Kóczy
Comparison fields: 5 of 72
  • Artificial Intelligence 338
  • Management Science and Operations Research 115
  • Statistics and Probability 67
  • Computational Theory and Mathematics 116
  • Control and Systems Engineering 61
Replace Daniel G. Schwartz with:
Daniel G. Schwartz United States
Mohammad Reza Rajati United States
Daoyuan Zhai United States
Noboru Wakami Japan
Fernando Gaxiola Mexico
Patricia Ochoa Mexico
Farnaz Sabahi Iran
Zdenko Takáč Slovakia
Puyin Liu China
Leh Luoh Taiwan
L.T. Kóczy relative to Daniel G. Schwartz United States Daniel G. Schwartz's profile →
Citations per field
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Citations per year

Countries citing papers authored by L.T. Kóczy

Since Specialization
Citations

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

Fields of papers citing papers by L.T. Kóczy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004198
2 200080
3 200442
4
Historical origin of the fine structure constant subtilis structurae constan unit s1 part i. St. Stephen's crowning achievement
201026
5 199715
6
Advanced Bacterial Memetic Algorithms
200813
7
Analyzing Fuzzy Flip-Flops Based on Various Fuzzy Operations
200810
8 200310
9 20027
10 20026
11
Inference in Fuzzy Signature Based Models
20085
12 20025
13 20025
14 19905
15 20064
16 20054
17
Fuzzy Exponents for Heuristic Based Applications
20083
18 20023
19 20213
20 20032

About L.T. Kóczy

L.T. Kóczy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 25 papers that have together received 452 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (16 papers), Multi-Criteria Decision Making (7 papers), Neural Networks and Applications (7 papers), Rough Sets and Fuzzy Logic (6 papers), Fuzzy Systems and Optimization (3 papers), Advanced Algebra and Logic (2 papers), Cognitive Science and Mapping (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (338 citations), Management Science and Operations Research (115 citations), Statistics and Probability (67 citations), Computational Theory and Mathematics (116 citations) and Control and Systems Engineering (61 citations). L.T. Kóczy has collaborated with scholars based in Hungary, Australia and Japan. Frequent co-authors include Tom Gedeon, Péter Bárányi, T.D. Gedeon, Kok Wai Wong, László Gál, Péter Várlaki, Imre J. Rudas, Alex Chong, Szilveszter Kovács and Kaoru Hirota. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Acta Polytechnica Hungarica, Journal of Electrostatics, Studies in computational intelligence and Acta Technica Jaurinensis.

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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