Cem Tekin

1.5k total citations
63 papers, 860 citations indexed

About

Cem Tekin is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Cem Tekin has authored 63 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Management Science and Operations Research, 29 papers in Artificial Intelligence and 27 papers in Computer Networks and Communications. Recurrent topics in Cem Tekin's work include Advanced Bandit Algorithms Research (47 papers), Smart Grid Energy Management (14 papers) and Reinforcement Learning in Robotics (12 papers). Cem Tekin is often cited by papers focused on Advanced Bandit Algorithms Research (47 papers), Smart Grid Energy Management (14 papers) and Reinforcement Learning in Robotics (12 papers). Cem Tekin collaborates with scholars based in United States, Türkiye and United Kingdom. Cem Tekin's co-authors include Mihaela van der Schaar, Mingyan Liu, Linqi Song, R. Michael Buehrer, SaiDhiraj Amuru, Cong Shen, Onur Atan, Sahand Haji Ali Ahmad, Richard Southwell and Jianwei Huang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Cem Tekin

63 papers receiving 849 citations

Peers

Cem Tekin
Zheng Wen United States
Bo Ji United States
Shashi Raj Pandey South Korea
Xin Xin China
Zengbin Zhang United States
Yuqing Li China
Hao Yue United States
Zheng Wen United States
Cem Tekin
Citations per year, relative to Cem Tekin Cem Tekin (= 1×) peers Zheng Wen

Countries citing papers authored by Cem Tekin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Cem Tekin

This figure shows the co-authorship network connecting the top 25 collaborators of Cem Tekin. A scholar is included among the top collaborators of Cem Tekin 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 Cem Tekin. Cem Tekin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tekin, Cem, et al.. (2024). Multi-Armed Bandits With Costly Probes. IEEE Transactions on Information Theory. 71(1). 618–643. 1 indexed citations
2.
Tekin, Cem, et al.. (2020). Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization.. International Conference on Artificial Intelligence and Statistics. 1486–1496. 5 indexed citations
3.
Tekin, Cem, et al.. (2020). Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. Bilkent University Institutional Repository (Bilkent University). 50. 1449–1458. 5 indexed citations
4.
Atan, Onur, Cem Tekin, & Mihaela van der Schaar. (2018). Global Bandits. IEEE Transactions on Neural Networks. 4 indexed citations
5.
Tekin, Cem, et al.. (2018). Online cross-layer learning in heterogeneous cognitive radio networks without CSI. Bilkent University Institutional Repository (Bilkent University). 49. 1–4. 1 indexed citations
6.
Tekin, Cem, et al.. (2018). Online Learning in Limit Order Book Trade Execution. IEEE Transactions on Signal Processing. 66(17). 4626–4641. 7 indexed citations
7.
Koç, Aykut, et al.. (2018). Risk-averse ambulance redeployment via multi-armed bandits. Bilkent University Institutional Repository (Bilkent University). 1–4. 3 indexed citations
8.
Tekin, Cem, et al.. (2017). Online learning in limit order book trade execution. Bilkent University Institutional Repository (Bilkent University). 1. 898–902. 1 indexed citations
9.
Tekin, Cem, et al.. (2017). Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret. Bilkent University Institutional Repository (Bilkent University). 17. 111–115. 6 indexed citations
10.
Tekin, Cem, et al.. (2017). Functional Contour-following via Haptic Perception and Reinforcement Learning. IEEE Transactions on Haptics. 11(1). 61–72. 31 indexed citations
11.
Tekin, Cem, Jinsung Yoon, & Mihaela van der Schaar. (2016). Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis.. Bilkent University Institutional Repository (Bilkent University). 462–468. 2 indexed citations
12.
Lee, Hyun-Suk, Cem Tekin, Mihaela van der Schaar, & Jang-Won Lee. (2016). Contextual learning for unit commitment with renewable energy sources. Bilkent University Institutional Repository (Bilkent University). 15. 866–870. 2 indexed citations
13.
Tekin, Cem, et al.. (2016). Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits. IEEE Transactions on Computers. 1–1. 16 indexed citations
14.
Atan, Onur, Cem Tekin, & Mihaela van der Schaar. (2015). Global Multi-armed Bandits with Holder Continuity. International Conference on Artificial Intelligence and Statistics. 28–36. 11 indexed citations
15.
Tekin, Cem & Mingyan Liu. (2015). Online Learning Methods for Networking. 8(4). 281–409. 15 indexed citations
16.
Xu, Jie, et al.. (2015). Distributed Multi-Agent Online Learning Based on Global Feedback. IEEE Transactions on Signal Processing. 63(9). 2225–2238. 17 indexed citations
17.
Tekin, Cem & Mihaela van der Schaar. (2014). Discovering, Learning and Exploiting Relevance. Neural Information Processing Systems. 27. 1233–1241. 3 indexed citations
18.
Atan, Onur, Yiannis Andreopoulos, Cem Tekin, & Mihaela van der Schaar. (2014). Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition. IEEE Journal of Selected Topics in Signal Processing. 9(1). 180–194. 4 indexed citations
19.
Xu, Jie, Cem Tekin, & Mihaela van der Schaar. (2013). Learning optimal classifier chains for real-time big data mining. 512–519. 10 indexed citations
20.
Hong, Steven, et al.. (2010). Multi-User Signal Classification via Spectral Correlation. 1–5. 8 indexed citations

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.

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