Ender Sevinç
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and ELM
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- Vehicle Routing Optimization Methods
- Advanced Manufacturing and Logistics Optimization
Papers in
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- Machine Learning and ELM 7
- Metaheuristic Optimization Algorithms Research 7
- Neural Networks and Applications 3
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- Advanced Database Systems and Queries 3
- Co-authors
- Tansel Dökeroğlu (8 shared papers)Ahmet Coşar (5 shared papers)Tayfun Küçükyılmaz (1 shared paper)Murat Karakaya (2 shared papers)Hakan Ezgi Kızılöz (1 shared paper)Ayça Deniz (1 shared paper)H. Yurtseven (1 shared paper)Asuman Doğaç (1 shared paper)
In The Last Decade
Ender Sevinç
18 papers receiving 909 citations
Ender Sevinç's Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 488
- Industrial and Manufacturing Engineering 136
- Computational Theory and Mathematics 203
- Computer Vision and Pattern Recognition 120
- Computer Networks and Communications 125
Countries citing papers authored by Ender Sevinç
This map shows the geographic impact of Ender Sevinç'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 Ender Sevinç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ender Sevinç more than expected).
Fields of papers citing papers by Ender Sevinç
This network shows the impact of papers produced by Ender Sevinç. 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 Ender Sevinç. The network helps show where Ender Sevinç may publish in the future.
Co-authors
The 8 scholars most cited alongside Ender Sevinç, 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 | A survey on new generation metaheuristic algorithms Hit paper breakdown → | 2019 | 649 |
| 2 | 2019 | 74 | |
| 3 | 2022 | 69 | |
| 4 | 2010 | 40 | |
| 5 | 2021 | 22 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2013 | 3 | |
| 14 | 2000 | 3 | |
| 15 | 2009 | 3 | |
| 16 | 2019 | 2 | |
| 17 | ACTIVATION FUNCTIONS IN SINGLE HIDDEN LAYER FEED-FORWARD NEURAL NETWORKS | 2018 | 2 |
| 18 | 2014 | 1 |
About Ender Sevinç
Ender Sevinç is a scholar working on Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 18 papers that have together received 946 indexed citations. Recurring topics across this work include Machine Learning and ELM (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Vehicle Routing Optimization Methods (4 papers), Neural Networks and Applications (3 papers), Robotic Path Planning Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), COVID-19 diagnosis using AI (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (488 citations), Industrial and Manufacturing Engineering (136 citations), Computational Theory and Mathematics (203 citations), Computer Vision and Pattern Recognition (120 citations) and Computer Networks and Communications (125 citations). Ender Sevinç has collaborated with scholars based in Türkiye and Spain. Frequent co-authors include Tansel Dökeroğlu, Ahmet Coşar, Tayfun Küçükyılmaz, Murat Karakaya, Hakan Ezgi Kızılöz, Ayça Deniz, H. Yurtseven and Asuman Doğaç. Their work appears in journals such as Computers & Industrial Engineering, The Computer Journal, Engineering Applications of Artificial Intelligence, Applied Soft Computing 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.