Cüneyt Güzelіș
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Ayşegül UçarYakup DemirNurettin AcırMert NakıpSavaş ŞahinLeon O. ChuaÖzcan ÖzdamarVolkan Rodoplu
- Topics
- Advanced Neural Network Applications (11 papers)Chaos control and synchronization (10 papers)Video Surveillance and Tracking Methods (8 papers)
In The Last Decade
Cüneyt Güzelіș
83 papers receiving 1.0k citations
Peers
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
Countries citing papers authored by Cüneyt Güzelіș
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
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
| # | 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 |
About Cüneyt Güzelіș
Cüneyt Güzelіș is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Chaos control and synchronization (10 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Cognitive Neuroscience (200 citations) and Signal Processing (107 citations). Cüneyt Güzelіș has collaborated with scholars based in Türkiye, Poland and France. Frequent 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. Their work appears in journals such as Applied Energy, Expert Systems with Applications and IEEE Access.
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.