Erdal Eker
Impact in
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- Advanced Control Systems Design
- Extremum Seeking Control Systems
- Advanced Control Systems Optimization
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Metaheuristic Optimization Algorithms Research 18
- Evolutionary Algorithms and Applications 6
- Neural Networks and Applications 3
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- Advanced Control Systems Design 11
- Extremum Seeking Control Systems 5
- Advanced Control Systems Optimization 4
- Co-authors
- Serdar Ekinci (29 shared papers)Davut İzci (24 shared papers)Murat Kayri (12 shared papers)Laith Abualigah (5 shared papers)Ayşen Demirören (4 shared papers)Baran Hekimoğlu (4 shared papers)Samir Khatir (1 shared paper)Mohammad Salman (2 shared papers)
In The Last Decade
Erdal Eker
37 papers receiving 514 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 262
- Modeling and Simulation 38
- Artificial Intelligence 220
- Computational Theory and Mathematics 64
- Electrical and Electronic Engineering 129
Countries citing papers authored by Erdal Eker
This map shows the geographic impact of Erdal Eker'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 Eker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erdal Eker more than expected).
Fields of papers citing papers by Erdal Eker
This network shows the impact of papers produced by Erdal Eker. 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 Eker. The network helps show where Erdal Eker may publish in the future.
Co-authors
The 17 scholars most cited alongside Erdal Eker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2022 | 67 | |
| 3 | 2021 | 60 | |
| 4 | 2022 | 47 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 23 | |
| 9 | 2019 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2023 | 6 |
About Erdal Eker
Erdal Eker is a scholar working on Artificial Intelligence, Control and Systems Engineering, Modeling and Simulation, Computational Theory and Mathematics and Biomedical Engineering, having authored 37 papers that have together received 522 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Advanced Control Systems Design (11 papers), Evolutionary Algorithms and Applications (6 papers), Extremum Seeking Control Systems (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Advanced Control Systems Optimization (4 papers), Neural Networks and Applications (3 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Control and Systems Engineering (262 citations), Modeling and Simulation (38 citations), Artificial Intelligence (220 citations), Computational Theory and Mathematics (64 citations) and Electrical and Electronic Engineering (129 citations). Erdal Eker has collaborated with scholars based in Türkiye, Jordan and India. Frequent co-authors include Serdar Ekinci, Davut İzci, Murat Kayri, Laith Abualigah, Ayşen Demirören, Baran Hekimoğlu, Samir Khatir, Mohammad Salman, Hazem Migdady and Aseel Smerat. Their work appears in journals such as Evolving Systems, PLoS ONE, Journal of Computational Science, IEEE Access and Arabian Journal for Science and Engineering.
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.