Arif Gülten
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Health Information Management top 2%
- Co-authors
- Akın ÖzçiftMattia FrascaVedat ÇelikŞengül DoğanEngin AvcıMerve YıldırımHasan KürümTürker Tuncer
- Topics
- Chaos control and synchronization (9 papers)Chaos-based Image/Signal Encryption (5 papers)Muscle activation and electromyography studies (4 papers)
- Cited by
- Health Information ManagementComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Arif Gülten
35 papers receiving 572 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 207
- Computer Vision and Pattern Recognition 195
- Statistical and Nonlinear Physics 109
- Electrical and Electronic Engineering 83
- Health Information Management 79
Countries citing papers authored by Arif Gülten
This map shows the geographic impact of Arif Gülten'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 Arif Gülten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arif Gülten more than expected).
Fields of papers citing papers by Arif Gülten
This network shows the impact of papers produced by Arif Gülten. 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 Arif Gülten. The network helps show where Arif Gülten may publish in the future.
Co-authorship network of co-authors of Arif Gülten
This figure shows the co-authorship network connecting the top 25 collaborators of Arif Gülten. A scholar is included among the top collaborators of Arif Gülten 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 Arif Gülten. Arif Gülten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Design and manufacturing of 15 DOF myoelectric controlled prosthetic hand | 2 |
| 7 | 11 | |
| 8 | Implementation of Two Cell Non-Autonomous CNN Model on FPGA | 1 |
| 9 | 7 | |
| 10 | 3 | |
| 11 | Driver fatigue detection based on saccadic eye movements | 15 |
| 12 | 28 | |
| 13 | 19 | |
| 14 | 11 | |
| 15 | 210 | |
| 16 | 24 | |
| 17 | 16 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 11 |
About Arif Gülten
Arif Gülten is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 36 papers that have together received 606 indexed citations. Recurring topics across this work include Chaos control and synchronization (9 papers), Chaos-based Image/Signal Encryption (5 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Health Information Management (79 citations), Computer Vision and Pattern Recognition (195 citations) and Statistical and Nonlinear Physics (109 citations). Arif Gülten has collaborated with scholars based in Türkiye, Slovenia and Italy. Frequent co-authors include Akın Özçift, Mattia Frasca, Vedat Çelik, Şengül Doğan, Engin Avcı, Merve Yıldırım, Hasan Kürüm, Türker Tuncer, Jaka Sodnik and M. Köksal. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.