Sezgin Kaçar

2.2k total citations
76 papers, 1.7k citations indexed

About

Sezgin Kaçar is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Sezgin Kaçar has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 38 papers in Statistical and Nonlinear Physics and 18 papers in Artificial Intelligence. Recurrent topics in Sezgin Kaçar's work include Chaos-based Image/Signal Encryption (37 papers), Chaos control and synchronization (35 papers) and Cellular Automata and Applications (7 papers). Sezgin Kaçar is often cited by papers focused on Chaos-based Image/Signal Encryption (37 papers), Chaos control and synchronization (35 papers) and Cellular Automata and Applications (7 papers). Sezgin Kaçar collaborates with scholars based in Türkiye, India and China. Sezgin Kaçar's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of the Franklin Institute.

In The Last Decade

Sezgin Kaçar

74 papers receiving 1.6k citations

Peers

Sezgin Kaçar
Sezgin Kaçar
Citations per year, relative to Sezgin Kaçar Sezgin Kaçar (= 1×) peers Ünal Çavuşoğlu

Countries citing papers authored by Sezgin Kaçar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kaçar, Sezgin, et al.. (2025). Modelling and Chaotic Based Parameter Optimization of Sliding Mode Controller. DergiPark (Istanbul University). 8(2). 42–55. 2 indexed citations
2.
Akgün, Devrim, et al.. (2025). Can artificial intelligence understand our emotions? Deep learning applications with face recognition. Current Psychology. 44(9). 7946–7956. 4 indexed citations
3.
Al-Barakati, Abdullah, et al.. (2024). A variable-order fractional memristor neural network: Secure image encryption and synchronization via a smooth and robust control approach. Chaos Solitons & Fractals. 186. 115135–115135. 9 indexed citations
4.
Kaçar, Sezgin, et al.. (2024). Chaotic-Based Improved Henry Gas Solubility Optimization Algorithm: Application to Electric Motor Control. Symmetry. 16(11). 1435–1435. 7 indexed citations
5.
Akgün, Devrim, et al.. (2024). A New Approach for Super Resolution Object Detection Using an Image Slicing Algorithm and the Segment Anything Model. Sensors. 24(14). 4526–4526. 5 indexed citations
6.
Akgün, Devrim, et al.. (2024). An Evaluation of Image Slicing and YOLO Architectures for Object Detection in UAV Images. Applied Sciences. 14(23). 11293–11293. 2 indexed citations
7.
Benkouider, Khaled, Issam A. R. Moghrabi, Aceng Sambas, et al.. (2024). A novel four-wing chaotic system with multiple equilibriums: Dynamical analysis, multistability, circuit simulation and pseudo random number generator (PRNG) based on the voice encryption. International Journal of Data and Network Science. 8(2). 989–1000. 3 indexed citations
8.
Akgün, Devrim, et al.. (2024). A new data label conversion algorithm for YOLO segmentation of medical images. The European Physical Journal Special Topics. 234(15). 3813–3822. 1 indexed citations
9.
Kaçar, Sezgin, et al.. (2023). A new deep learning model combining CNN for engine fault diagnosis. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(12). 11 indexed citations
10.
Kaçar, Sezgin, et al.. (2023). CLASSIFICATION OF GRINDING BURNS IN BEARINGS WITH TRANSFER LEARNING. Fractals. 31(6). 4 indexed citations
11.
Kaçar, Sezgin, et al.. (2023). A Yolov3-Based Garbage Detection Systems. DergiPark (Istanbul University). 4(2). 160–176. 1 indexed citations
14.
Kaçar, Sezgin, et al.. (2021). Circuit Implementation and PRNG Applications of Time Delayed Lorenz System. SHILAP Revista de lepidopterología. 4(1). 4–9. 3 indexed citations
15.
Akgül, Akif, et al.. (2020). Doğrusal olmayan yeni bir sistem ile damar görüntülerinin mikrobilgisayar tabanlı olarak şifrelenmesi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 35(3). 1369–1386. 3 indexed citations
16.
Mobayen, Saleh, Christos Volos, Ünal Çavuşoğlu, & Sezgin Kaçar. (2020). A Simple Chaotic Flow with Hyperbolic Sinusoidal Function and Its Application to Voice Encryption. Symmetry. 12(12). 2047–2047. 13 indexed citations
17.
Vaıdyanathan, Sundarapandian, Akif Akgül, Sezgin Kaçar, & Ünal Çavuşoğlu. (2018). A new 4-D chaotic hyperjerk system, its synchronization, circuit design and applications in RNG, image encryption and chaos-based steganography. The European Physical Journal Plus. 133(2). 101 indexed citations
18.
Mobayen, Saleh, Sundarapandian Vaıdyanathan, Aceng Sambas, Sezgin Kaçar, & Ünal Çavuşoğlu. (2018). A Novel Chaotic System With Boomerang-Shaped Equilibrium, Its Circuit Implementation and Application to Sound Encryption. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 43(1). 1–12. 48 indexed citations
19.
Kaçar, Sezgin, et al.. (2018). Kaotik bir hareket videosunun yapay sinir ağları ile modellenmesi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 20(3). 23–35. 5 indexed citations
20.
Bayılmış, Cüneyt, et al.. (2017). Enhanced secure data transfer for WSN using chaotic-based encryption. Tehnicki vjesnik - Technical Gazette. 24(4). 2 indexed citations

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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