George E. Tsekouras

1.6k citations
61 papers · 964 indexed · h-index 19
Topics
Fuzzy Logic and Control Systems (14 papers)Neural Networks and Applications (14 papers)Face and Expression Recognition (7 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsInformation Sciences
Partner nations
GreeceUnited States

In The Last Decade

George E. Tsekouras

58 papers receiving 917 citations

Peers

George E. Tsekouras
Comparison fields: 5 of 123
  • Artificial Intelligence 440
  • Computer Vision and Pattern Recognition 206
  • Control and Systems Engineering 160
  • Information Systems 80
  • Computational Theory and Mathematics 77
Replace Giorgio Gnecco with:
Giorgio Gnecco Italy
Mayank Agarwal India
Yanjun Li China
Shan Suthaharan United States
Abdullah Khan Pakistan
Jianpei Zhang China
Sudhanshu Mishra India
Yun Li China
Jianyu Miao China
George E. Tsekouras relative to Giorgio Gnecco Italy Giorgio Gnecco's profile →
Citations per field
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Giorgio Gnecco · 1×
Citations per year

Countries citing papers authored by George E. Tsekouras

Since Specialization
Citations

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

Fields of papers citing papers by George E. Tsekouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George E. Tsekouras. 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 George E. Tsekouras. The network helps show where George E. Tsekouras may publish in the future.

Co-authorship network of co-authors of George E. Tsekouras

This figure shows the co-authorship network connecting the top 25 collaborators of George E. Tsekouras. A scholar is included among the top collaborators of George E. Tsekouras based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George E. Tsekouras. George E. Tsekouras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 18
3 16
4 0
5 6
6 18
7 32
8 4
9 13
10 9
11 12
12 67
13 12
14 1
15 1
16 84
17 83
18 8
19 2
20
Fuzzy logic control of a continuous fermentor reactor using input-output linearization
2

About George E. Tsekouras

George E. Tsekouras is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 61 papers that have together received 964 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (14 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Artificial Intelligence (440 citations), Computer Vision and Pattern Recognition (206 citations) and Control and Systems Engineering (160 citations). George E. Tsekouras has collaborated with scholars based in Greece and United States. Frequent co-authors include Haralambos Sarimveis, John Tsimikas, George Bafas, Damianos Gavalas, Christos‐Nikolaos Anagnostopoulos, Evangelia Kavakli, Alex Alexandridis, Panagiotis Patrinos, Christos Kalloniatis and Konstantinos Kotis. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Information Sciences.

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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