Onur Atan

711 citations
14 papers · 479 indexed · 1 hit paper · h-index 9

Onur Atan

14 papers receiving 466 citations

Hit Papers

Context-Aware Proactive Content Caching With Service Diff...227201620262019202250100150200

Peers

Onur Atan
Comparison fields: 5 of 65
  • Computer Science Applications 101
  • Computer Networks and Communications 298
  • Information Systems 110
  • Artificial Intelligence 120
  • Health Information Management 17
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Moming Duan China
Lichuan Ma China
Renping Liu China
Yiqun Diao Singapore
Yongheng Deng China
Mohammad Ubaidullah Bokhari India
Khajonpong Akkarajitsakul Thailand
Mingyuan Yan United States
Yuli Deng United States
Raed Alharthi United States
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Citations per year

Countries citing papers authored by Onur Atan

Since Specialization
Citations

This map shows the geographic impact of Onur Atan'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 Atan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Atan more than expected).

Fields of papers citing papers by Onur Atan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur Atan. 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 Atan. The network helps show where Onur Atan may publish in the future.

Co-authorship network

The 14 scholars most cited alongside Onur Atan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Onur Atan Line = papers co-authored together Onur Atan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20213
2
Global Bandits
20184
3 201829
4
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
20183
5 20189
6 201819
7
Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networksbreakdown →
2016227
8 201642
9
Global Multi-armed Bandits with Holder Continuity
201511
10 201532
11 201574
12 20144
13 201418
14 20144

About Onur Atan

Onur Atan is a scholar working on Medical Laboratory Technology, Management Science and Operations Research, Computer Science Applications, Artificial Intelligence and Statistics and Probability, having authored 14 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (5 papers), Advanced MIMO Systems Optimization (3 papers), Reinforcement Learning in Robotics (3 papers), Machine Learning and Data Classification (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Online Learning and Analytics (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Computer Science Applications (101 citations), Computer Networks and Communications (298 citations), Information Systems (110 citations), Artificial Intelligence (120 citations) and Health Information Management (17 citations). Onur Atan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mihaela van der Schaar, Sabrina Klos, Anja Klein, Jie Xu, Cem Tekin, James Jordon, Ahmed Farahat, Kosta Ristovski, Karan Aggarwal and Chi Zhang. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Services Computing, IEEE Transactions on Wireless Communications, IEEE Transactions on Emerging Topics in Computing and IEEE Transactions on Signal Processing.

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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