Mesut Gündüz
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mustafa Servet KıranEren ÖzceylanMurat AslanTuran PaksoyHarun UğuzHüseyin HaklıÖmer Kaan BaykanErkan Ülker
- Topics
- Metaheuristic Optimization Algorithms Research (17 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Evolutionary Algorithms and Applications (7 papers)
In The Last Decade
Mesut Gündüz
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 700
- Electrical and Electronic Engineering 317
- Industrial and Manufacturing Engineering 266
- Computational Theory and Mathematics 249
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Mesut Gündüz
This map shows the geographic impact of Mesut Gündüz'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 Mesut Gündüz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesut Gündüz more than expected).
Fields of papers citing papers by Mesut Gündüz
This network shows the impact of papers produced by Mesut Gündüz. 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 Mesut Gündüz. The network helps show where Mesut Gündüz may publish in the future.
Co-authorship network of co-authors of Mesut Gündüz
This figure shows the co-authorship network connecting the top 25 collaborators of Mesut Gündüz. A scholar is included among the top collaborators of Mesut Gündüz 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 Mesut Gündüz. Mesut Gündüz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 60 | |
| 4 | 12 | |
| 5 | 93 | |
| 6 | 10 | |
| 7 | 21 | |
| 8 | 20 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 79 | |
| 14 | Diagnosis of Coronary Artery Disease Using Artificial Bee Colony and K-Nearest Neighbor Algorithms | 11 |
| 15 | 71 | |
| 16 | 86 | |
| 17 | 52 | |
| 18 | 170 | |
| 19 | 19 | |
| 20 | 6 |
About Mesut Gündüz
Mesut Gündüz is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (266 citations), Artificial Intelligence (700 citations) and Computational Theory and Mathematics (249 citations). Mesut Gündüz has collaborated with scholars based in Türkiye, Finland and India. Frequent co-authors include Mustafa Servet Kıran, Eren Özceylan, Murat Aslan, Turan Paksoy, Harun Uğuz, Hüseyin Haklı, Ömer Kaan Baykan, Erkan Ülker, Ahmet Babalık and İsmail Babaoğlu. Their work appears in journals such as Energy Conversion and Management, IEEE Access and Sensors.
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.