Faruk Polat
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- Reda AlhajjOsman AbulMakbule Gülçin ÖzsoyTansel ÖzyerMehmet TanSertan GirginFazlı CanMohammed Alshalalfa
- Topics
- Reinforcement Learning in Robotics (21 papers)Gene Regulatory Network Analysis (21 papers)Evolutionary Algorithms and Applications (18 papers)
In The Last Decade
Faruk Polat
72 papers receiving 600 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 242
- Computer Vision and Pattern Recognition 195
- Aerospace Engineering 127
- Molecular Biology 119
- Computer Networks and Communications 95
Countries citing papers authored by Faruk Polat
This map shows the geographic impact of Faruk Polat'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 Faruk Polat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faruk Polat more than expected).
Fields of papers citing papers by Faruk Polat
This network shows the impact of papers produced by Faruk Polat. 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 Faruk Polat. The network helps show where Faruk Polat may publish in the future.
Co-authorship network of co-authors of Faruk Polat
This figure shows the co-authorship network connecting the top 25 collaborators of Faruk Polat. A scholar is included among the top collaborators of Faruk Polat 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 Faruk Polat. Faruk Polat 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Employing batch reinforcement learning to control gene regulation without explicitly constructing gene regulatory networks | 8 |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | State similarity based approach for improving performance in RL | 6 |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 3 |
About Faruk Polat
Faruk Polat is a scholar working on Artificial Intelligence, Transportation and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 625 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (21 papers), Gene Regulatory Network Analysis (21 papers) and Evolutionary Algorithms and Applications (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Artificial Intelligence (242 citations) and Aerospace Engineering (127 citations). Faruk Polat has collaborated with scholars based in Türkiye, Canada and Lebanon. Frequent co-authors include Reda Alhajj, Osman Abul, Makbule Gülçin Özsoy, Tansel Özyer, Mehmet Tan, Sertan Girgin, Fazlı Can, Mohammed Alshalalfa, Güray Erus and R. Alhajj. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Information Sciences.
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.