Ebubekir Kaya
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 5%
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Neural Networks and Applications (7 papers)Advanced Algorithms and Applications (7 papers)
- Cited by
- Artificial IntelligenceIndustrial and Manufacturing EngineeringControl and Systems Engineering
- Partner nations
- TürkiyeSaudi Arabia
In The Last Decade
Ebubekir Kaya
20 papers receiving 900 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 360
- Electrical and Electronic Engineering 185
- Control and Systems Engineering 168
- Mechanical Engineering 91
- Industrial and Manufacturing Engineering 77
Countries citing papers authored by Ebubekir Kaya
This map shows the geographic impact of Ebubekir Kaya'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 Ebubekir Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebubekir Kaya more than expected).
Fields of papers citing papers by Ebubekir Kaya
This network shows the impact of papers produced by Ebubekir Kaya. 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 Ebubekir Kaya. The network helps show where Ebubekir Kaya may publish in the future.
Co-authorship network of co-authors of Ebubekir Kaya
This figure shows the co-authorship network connecting the top 25 collaborators of Ebubekir Kaya. A scholar is included among the top collaborators of Ebubekir Kaya 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 Ebubekir Kaya. Ebubekir Kaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 100 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 76 | |
| 14 | 23 | |
| 15 | 3 | |
| 16 | Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive surveybreakdown → | 495 |
| 17 | 27 | |
| 18 | 25 | |
| 19 | 92 | |
| 20 | 19 |
About Ebubekir Kaya
Ebubekir Kaya is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research, having authored 22 papers that have together received 944 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Neural Networks and Applications (7 papers) and Advanced Algorithms and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (360 citations), Industrial and Manufacturing Engineering (77 citations) and Control and Systems Engineering (168 citations). Ebubekir Kaya has collaborated with scholars based in Türkiye and Saudi Arabia. Frequent co-authors include Derviş Karaboğa, Beyza Görkemli, Bahriye Akay and Emre Bendeş. Their work appears in journals such as Applied Soft Computing, Neural Computing and Applications and Artificial Intelligence Review.
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.