Tufan Kumbasar
- Artificial Intelligence top 1%
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering
- Statistics and Probability top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Hani HagrasEngin YeşilJiajun Wangİbrahim EksinMüjde GüzelkayaArdashir MohammadzadehErdal KayacanAndriy Sarabakha
- Topics
- Fuzzy Logic and Control Systems (60 papers)Neural Networks and Applications (37 papers)Advanced Control Systems Design (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsExpert Systems with Applications
- Partner nations
- TürkiyeUnited KingdomIran
In The Last Decade
Tufan Kumbasar
108 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 983
- Control and Systems Engineering 971
- Electrical and Electronic Engineering 263
- Statistics and Probability 212
- Computer Vision and Pattern Recognition 202
Countries citing papers authored by Tufan Kumbasar
This map shows the geographic impact of Tufan Kumbasar'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 Tufan Kumbasar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tufan Kumbasar more than expected).
Fields of papers citing papers by Tufan Kumbasar
This network shows the impact of papers produced by Tufan Kumbasar. 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 Tufan Kumbasar. The network helps show where Tufan Kumbasar may publish in the future.
Co-authorship network of co-authors of Tufan Kumbasar
This figure shows the co-authorship network connecting the top 25 collaborators of Tufan Kumbasar. A scholar is included among the top collaborators of Tufan Kumbasar 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 Tufan Kumbasar. Tufan Kumbasar 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 140 | |
| 14 | 1 | |
| 15 | A fuzzy logic based autonomous vehicle control system design in the TORCS environment | 5 |
| 16 | Diagnosing interdental decays in mouth radiography images using Kernel Fuzzy C means segmentation and cascade object detector | 0 |
| 17 | 12 | |
| 18 | 85 | |
| 19 | 92 | |
| 20 | 10 |
About Tufan Kumbasar
Tufan Kumbasar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (60 papers), Neural Networks and Applications (37 papers) and Advanced Control Systems Design (24 papers). The work is most often cited by research in Control and Systems Engineering (971 citations), Artificial Intelligence (983 citations) and Statistics and Probability (212 citations). Tufan Kumbasar has collaborated with scholars based in Türkiye, United Kingdom and Iran. Frequent co-authors include Hani Hagras, Engin Yeşil, Jiajun Wang, İbrahim Eksin, Müjde Güzelkaya, Ardashir Mohammadzadeh, Erdal Kayacan, Andriy Sarabakha, Changhong Fu and Hwa Jen Yap. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.
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.