Erdal Kayacan
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 1%
- Automotive Engineering top 1%
- Co-authors
- Okyay KaynakBaris UlutasWouter SaeysErkan KayacanMojtaba Ahmadieh KhanesarHerman RamónYeşim ÖnizChanghong Fu
- Topics
- Adaptive Control of Nonlinear Systems (42 papers)Fuzzy Logic and Control Systems (42 papers)Neural Networks and Applications (30 papers)
In The Last Decade
Erdal Kayacan
148 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Control and Systems Engineering 2.0k
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 800
- Aerospace Engineering 748
- Automotive Engineering 558
Countries citing papers authored by Erdal Kayacan
This map shows the geographic impact of Erdal Kayacan'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 Erdal Kayacan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erdal Kayacan more than expected).
Fields of papers citing papers by Erdal Kayacan
This network shows the impact of papers produced by Erdal Kayacan. 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 Erdal Kayacan. The network helps show where Erdal Kayacan may publish in the future.
Co-authorship network of co-authors of Erdal Kayacan
This figure shows the co-authorship network connecting the top 25 collaborators of Erdal Kayacan. A scholar is included among the top collaborators of Erdal Kayacan 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 Erdal Kayacan. Erdal Kayacan 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 | 1 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 28 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 13 | |
| 9 | 67 | |
| 10 | 51 | |
| 11 | 80 | |
| 12 | Experimental study of an interval type-2 fuzzy neural network using sliding-mode online learning algorithm | 4 |
| 13 | An online training algorithm based on the fusion of sliding mode control theory and fuzzy neural networks with triangular membership functions | 5 |
| 14 | 80 | |
| 15 | 114 | |
| 16 | 2 | |
| 17 | 44 | |
| 18 | Adaptive neuro-fuzzy control with sliding mode learning algorithm: Application to Antilock Braking System | 22 |
| 19 | 64 | |
| 20 | 5 |
About Erdal Kayacan
Erdal Kayacan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 149 papers that have together received 4.5k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (42 papers), Fuzzy Logic and Control Systems (42 papers) and Neural Networks and Applications (30 papers). The work is most often cited by research in Control and Systems Engineering (2.0k citations), Automotive Engineering (558 citations) and Computer Vision and Pattern Recognition (800 citations). Erdal Kayacan has collaborated with scholars based in Singapore, Denmark and Türkiye. Frequent co-authors include Okyay Kaynak, Baris Ulutas, Wouter Saeys, Erkan Kayacan, Mojtaba Ahmadieh Khanesar, Herman Ramón, Yeşim Öniz, Changhong Fu, Andriy Sarabakha and Mohammad Teshnehlab. Their work appears in journals such as IEEE Transactions on Industrial Electronics, 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.