Cem Tekin
Impact in
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- Advanced Bandit Algorithms Research
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- Cognitive Radio Networks and Spectrum Sensing
Papers in
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- Advanced Bandit Algorithms Research 47
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- Reinforcement Learning in Robotics 12
- Data Stream Mining Techniques 9
- Machine Learning and Algorithms 8
- Co-authors
- Mihaela van der Schaar (32 shared papers)Mingyan Liu (7 shared papers)Linqi Song (2 shared papers)SaiDhiraj Amuru (2 shared papers)R. Michael Buehrer (2 shared papers)Cong Shen (2 shared papers)Onur Atan (6 shared papers)Jianwei Huang (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (5 papers)IEEE Transactions on Signal Processing (4 papers)IEEE Transactions on Services Computing (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Communications (2 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Cem Tekin
63 papers receiving 849 citations
Peers
Comparison fields: 5 of 64
- Management Science and Operations Research 326
- Computer Networks and Communications 416
- Computer Science Applications 54
- Artificial Intelligence 299
- Information Systems 140
Countries citing papers authored by Cem Tekin
This map shows the geographic impact of Cem Tekin'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 Cem Tekin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cem Tekin more than expected).
Fields of papers citing papers by Cem Tekin
This network shows the impact of papers produced by Cem Tekin. 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 Cem Tekin. The network helps show where Cem Tekin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cem Tekin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2014 | 74 | |
| 3 | 2011 | 66 | |
| 4 | 2012 | 54 | |
| 5 | 2016 | 47 | |
| 6 | 2014 | 37 | |
| 7 | 2015 | 37 | |
| 8 | 2017 | 31 | |
| 9 | 2015 | 28 | |
| 10 | 2018 | 25 | |
| 11 | 2012 | 23 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2018 | 13 |
About Cem Tekin
Cem Tekin is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 63 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (47 papers), Smart Grid Energy Management (14 papers), Reinforcement Learning in Robotics (12 papers), Cognitive Radio Networks and Spectrum Sensing (10 papers), Optimization and Search Problems (9 papers), Data Stream Mining Techniques (9 papers), Machine Learning and Algorithms (8 papers) and Advanced MIMO Systems Optimization (8 papers). The work is most often cited by research in Management Science and Operations Research (326 citations), Computer Networks and Communications (416 citations), Computer Science Applications (54 citations), Artificial Intelligence (299 citations) and Information Systems (140 citations). Cem Tekin has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Mihaela van der Schaar, Mingyan Liu, Linqi Song, SaiDhiraj Amuru, R. Michael Buehrer, Cong Shen, Onur Atan, Jianwei Huang, Richard Southwell and Sahand Haji Ali Ahmad. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Services Computing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Communications.
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.