Onur Soysal
- Computer Networks and Communications top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)Modular Robots and Swarm Intelligence (4 papers)Distributed Control Multi-Agent Systems (4 papers)
- Cited by
- Computer Networks and CommunicationsMechanical EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Parallel and Distributed Systems2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer CommunicationsDergiPark (Istanbul University)
- Partner nations
- United StatesSouth KoreaTürkiye
In The Last Decade
Onur Soysal
9 papers receiving 211 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 194
- Mechanical Engineering 103
- Electrical and Electronic Engineering 50
- Computer Vision and Pattern Recognition 38
- Artificial Intelligence 22
Countries citing papers authored by Onur Soysal
This map shows the geographic impact of Onur Soysal'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 Onur Soysal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Soysal more than expected).
Fields of papers citing papers by Onur Soysal
This network shows the impact of papers produced by Onur Soysal. 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 Onur Soysal. The network helps show where Onur Soysal may publish in the future.
Co-authorship network of co-authors of Onur Soysal
This figure shows the co-authorship network connecting the top 25 collaborators of Onur Soysal. A scholar is included among the top collaborators of Onur Soysal 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 Onur Soysal. Onur Soysal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | Aggregation in Swarm Robotic Systems: Evolution and Probabilistic Control | 45 |
| 9 | 89 |
About Onur Soysal
Onur Soysal is a scholar working on Computer Networks and Communications, Mechanical Engineering and Electrical and Electronic Engineering, having authored 9 papers that have together received 228 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Modular Robots and Swarm Intelligence (4 papers) and Distributed Control Multi-Agent Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (194 citations), Mechanical Engineering (103 citations) and Computer Vision and Pattern Recognition (38 citations). Onur Soysal has collaborated with scholars based in United States, South Korea and Türkiye. Frequent co-authors include Erol Şahi̇n, Murat Demirbaş, Seokhoon Yoon, Chunming Qiao, Ali Şaman Tosun and Muzammil Hussain. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, 2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications and DergiPark (Istanbul University).
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.