Dildar Gürses
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Manufacturing Process and Optimization
Papers in
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- Advanced Multi-Objective Optimization Algorithms 11
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- Advanced Battery Technologies Research 4
- Co-authors
- Ali Rıza Yıldız (13 shared papers)Sadiq M. Sait (9 shared papers)Pranav Mehta (11 shared papers)Sujin Bureerat (2 shared papers)Sumit Kumar (1 shared paper)Vivek K. Patel (1 shared paper)Sadiq M. Sait (4 shared papers)Nantiwat Pholdee (1 shared paper)
- Journals
- Applied Sciences (2 papers)Materials Testing (15 papers)International Journal of Automotive Science And Technology (1 paper)Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (1 paper)
- Partner nations
- TürkiyeSaudi ArabiaIndia
In The Last Decade
Dildar Gürses
14 papers receiving 373 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 112
- Industrial and Manufacturing Engineering 62
- Automotive Engineering 53
- Artificial Intelligence 136
- Mechanical Engineering 98
Countries citing papers authored by Dildar Gürses
This map shows the geographic impact of Dildar Gürses'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 Dildar Gürses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dildar Gürses more than expected).
Fields of papers citing papers by Dildar Gürses
This network shows the impact of papers produced by Dildar Gürses. 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 Dildar Gürses. The network helps show where Dildar Gürses may publish in the future.
Co-authors
The 9 scholars most cited alongside Dildar Gürses, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 83 | |
| 2 | 2022 | 80 | |
| 3 | 2023 | 69 | |
| 4 | 2021 | 60 | |
| 5 | 2022 | 46 | |
| 6 | 2025 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2025 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Dildar Gürses
Dildar Gürses is a scholar working on Computational Theory and Mathematics, Automotive Engineering, Mechanical Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Heat Transfer and Optimization (6 papers), Advanced Battery Technologies Research (4 papers), Topology Optimization in Engineering (3 papers), Evolutionary Algorithms and Applications (2 papers), Mechanical Engineering and Vibrations Research (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (112 citations), Industrial and Manufacturing Engineering (62 citations), Automotive Engineering (53 citations), Artificial Intelligence (136 citations) and Mechanical Engineering (98 citations). Dildar Gürses has collaborated with scholars based in Türkiye, Saudi Arabia and India. Frequent co-authors include Ali Rıza Yıldız, Sadiq M. Sait, Pranav Mehta, Sujin Bureerat, Sumit Kumar, Vivek K. Patel, Sadiq M. Sait, Nantiwat Pholdee and Erhan Pulat. Their work appears in journals such as Applied Sciences, Materials Testing, International Journal of Automotive Science And Technology and Çukurova Üniversitesi Mühendislik Fakültesi Dergisi.
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.