Cüneyt Güzelіș

1.5k total citations
91 papers, 1.1k citations indexed

About

Cüneyt Güzelіș is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Cüneyt Güzelіș has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Cüneyt Güzelіș's work include Advanced Neural Network Applications (11 papers), Chaos control and synchronization (10 papers) and Video Surveillance and Tracking Methods (8 papers). Cüneyt Güzelіș is often cited by papers focused on Advanced Neural Network Applications (11 papers), Chaos control and synchronization (10 papers) and Video Surveillance and Tracking Methods (8 papers). Cüneyt Güzelіș collaborates with scholars based in Türkiye, Poland and France. Cüneyt Güzelіș's co-authors include Ayşegül Uçar, Yakup Demir, Nurettin Acır, Mert Nakıp, Savaş Şahin, Leon O. Chua, Nurettin Acır, Özcan Özdamar, Volkan Rodoplu and M. Alper Selver and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and IEEE Access.

In The Last Decade

Cüneyt Güzelіș

83 papers receiving 1.0k citations

Peers

Cüneyt Güzelіș
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 316
  • Artificial Intelligence 241
  • Cognitive Neuroscience 200
  • Electrical and Electronic Engineering 158
  • Computer Networks and Communications 147
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G. C. Nandi India
Zhidong Deng China
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Roberto Prevete Italy
Kwee-Bo Sim South Korea
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Kaixuan Chen Australia
Naohiro Ishii Japan
Shengzhi Du South Africa
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Citations per field, relative to Cüneyt Güzelіș
Cüneyt Güzelіș · 1×
Citations per year, relative to Cüneyt Güzelіș
Cüneyt Güzelіș · 1×

Countries citing papers authored by Cüneyt Güzelіș

Since Specialization
Citations

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

Fields of papers citing papers by Cüneyt Güzelіș

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cüneyt Güzelіș

This figure shows the co-authorship network connecting the top 25 collaborators of Cüneyt Güzelіș. A scholar is included among the top collaborators of Cüneyt Güzelіș 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 Cüneyt Güzelіș. Cüneyt Güzelіș 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
# Work Indexed citations
1 0
2 4
3 1
4 5
5 12
6 4
7 2
8 20
9 18
10 10
11 1
12 4
13 12
14 20
15
A 2-dimensional reduced oscillator model with rational nonlinearities for p53 dynamics
1
16
A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case
2
17
Effect of chaotic mixing on the rheological characterization of mayonnaise
1
18
Discriminant-based bistability analysis of a TMG-induced lac operon model supported with boundedness and local stability results
1
19 3
20
An Experience on Problem Based Learning in an Engineering Faculty
10

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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