Sezgin Kaçar
- Computer Vision and Pattern Recognition top 1%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Ünal Çavuşoğluİhsan Pehli̇vanAhmet Zengi̇nAkif AkgülSundarapandian VaıdyanathanAceng SambasHadi JahanshahiFawaz E. Alsaadi
- Topics
- Chaos-based Image/Signal Encryption (37 papers)Chaos control and synchronization (35 papers)Cellular Automata and Applications (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionModeling and Simulation
- Journals
- SHILAP Revista de lepidopterologíaSensorsJournal of the Franklin Institute
In The Last Decade
Sezgin Kaçar
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 960
- Statistical and Nonlinear Physics 732
- Artificial Intelligence 494
- Computer Networks and Communications 333
- Computational Theory and Mathematics 203
Countries citing papers authored by Sezgin Kaçar
This map shows the geographic impact of Sezgin Kaçar'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 Sezgin Kaçar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sezgin Kaçar more than expected).
Fields of papers citing papers by Sezgin Kaçar
This network shows the impact of papers produced by Sezgin Kaçar. 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 Sezgin Kaçar. The network helps show where Sezgin Kaçar may publish in the future.
Co-authorship network of co-authors of Sezgin Kaçar
This figure shows the co-authorship network connecting the top 25 collaborators of Sezgin Kaçar. A scholar is included among the top collaborators of Sezgin Kaçar 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 Sezgin Kaçar. Sezgin Kaçar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 101 | |
| 18 | 48 | |
| 19 | 5 | |
| 20 | 2 |
About Sezgin Kaçar
Sezgin Kaçar is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Mathematical Physics, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (37 papers), Chaos control and synchronization (35 papers) and Cellular Automata and Applications (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (732 citations), Computer Vision and Pattern Recognition (960 citations) and Modeling and Simulation (83 citations). Sezgin Kaçar has collaborated with scholars based in Türkiye, India and China. Frequent co-authors include Ünal Çavuşoğlu, İhsan Pehli̇van, Ahmet Zengi̇n, Akif Akgül, Sundarapandian Vaıdyanathan, Aceng Sambas, Hadi Jahanshahi, Fawaz E. Alsaadi, Viet–Thanh Pham and Sajad Jafari. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Journal of the Franklin Institute.
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.