Mehmet Katı
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Hamdi Tolga KahramanSerhat DumanSefa ArasUğur GüvençYusuf SönmezHüseyin BakırH. Hüseyin SayanMarcos Tostado‐Véliz
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Electric Power System Optimization (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceEnergy Engineering and Power Technology
- Partner nations
- TürkiyeAzerbaijanEgypt
In The Last Decade
Mehmet Katı
9 papers receiving 474 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 275
- Electrical and Electronic Engineering 166
- Computational Theory and Mathematics 162
- Control and Systems Engineering 72
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Mehmet Katı
This map shows the geographic impact of Mehmet Katı'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 Mehmet Katı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehmet Katı more than expected).
Fields of papers citing papers by Mehmet Katı
This network shows the impact of papers produced by Mehmet Katı. 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 Mehmet Katı. The network helps show where Mehmet Katı may publish in the future.
Co-authorship network of co-authors of Mehmet Katı
This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Katı. A scholar is included among the top collaborators of Mehmet Katı 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 Mehmet Katı. Mehmet Katı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 18 | |
| 3 | 55 | |
| 4 | 77 | |
| 5 | 39 | |
| 6 | 34 | |
| 7 | 78 | |
| 8 | 108 | |
| 9 | 16 |
About Mehmet Katı
Mehmet Katı is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 488 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Electric Power System Optimization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Artificial Intelligence (275 citations) and Energy Engineering and Power Technology (15 citations). Mehmet Katı has collaborated with scholars based in Türkiye, Azerbaijan and Egypt. Frequent co-authors include Hamdi Tolga Kahraman, Serhat Duman, Sefa Aras, Uğur Güvenç, Yusuf Sönmez, Hüseyin Bakır, H. Hüseyin Sayan, Marcos Tostado‐Véliz, Mohamed H. Hassan and Salah Kamel. Their work appears in journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence and Soft Computing.
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.