Kobi Cohen

2.5k total citations · 1 hit paper
79 papers, 1.6k citations indexed

About

Kobi Cohen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kobi Cohen has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 37 papers in Artificial Intelligence and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Kobi Cohen's work include Distributed Sensor Networks and Detection Algorithms (30 papers), Advanced Statistical Process Monitoring (15 papers) and Anomaly Detection Techniques and Applications (13 papers). Kobi Cohen is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (30 papers), Advanced Statistical Process Monitoring (15 papers) and Anomaly Detection Techniques and Applications (13 papers). Kobi Cohen collaborates with scholars based in Israel, United States and Netherlands. Kobi Cohen's co-authors include Oshri Naparstek, Qing Zhao, Amir Leshem, Yonina C. Eldar, Nir Shlezinger, R. Srikant, Angelia Nedić, H. Vincent Poor, Ananthram Swami and Ephraim Zehavi and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Kobi Cohen

73 papers receiving 1.6k citations

Hit Papers

Deep Multi-User Reinforcement Learning for Distributed Dy... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access
    2018 334 citations Oshri Naparstek, Kobi Cohen IEEE Transactions on Wireless Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kobi Cohen Israel 20 989 793 719 152 147 79 1.6k
Biao Chen United States 26 1.4k 1.4× 1.5k 1.9× 726 1.0× 109 0.7× 54 0.4× 191 2.4k
Ali Tajer United States 19 742 0.8× 898 1.1× 292 0.4× 450 3.0× 124 0.8× 120 1.5k
George Atia United States 16 416 0.4× 228 0.3× 349 0.5× 99 0.7× 70 0.5× 130 1.1k
Sudharman K. Jayaweera United States 26 2.2k 2.2× 2.0k 2.5× 475 0.7× 260 1.7× 21 0.1× 161 2.9k
Xiangfeng Wang China 17 405 0.4× 309 0.4× 371 0.5× 199 1.3× 23 0.2× 70 1.3k
P. R. Kumar India 12 446 0.5× 275 0.3× 230 0.3× 422 2.8× 29 0.2× 29 1.1k
Tyler Summers United States 21 738 0.7× 524 0.7× 206 0.3× 759 5.0× 84 0.6× 91 1.8k
Fan Ye China 18 3.1k 3.1× 1.5k 1.9× 199 0.3× 35 0.2× 35 0.2× 36 3.4k
Themistoklis Charalambous Finland 26 1.8k 1.9× 1.3k 1.6× 275 0.4× 542 3.6× 18 0.1× 172 2.7k
Qiang Guan United States 18 387 0.4× 240 0.3× 314 0.4× 47 0.3× 124 0.8× 132 1.0k

Countries citing papers authored by Kobi Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Kobi Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobi Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Kobi Cohen. A scholar is included among the top collaborators of Kobi Cohen 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 Kobi Cohen. Kobi Cohen 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.
2.
Cohen, Kobi, et al.. (2024). Anomaly Search of a Hidden Markov Model. 3684–3688. 1 indexed citations
3.
Cohen, Kobi, et al.. (2024). Sparse Training for Federated Learning With Regularized Error Correction. IEEE Journal of Selected Topics in Signal Processing. 18(6). 1085–1099. 2 indexed citations
4.
Gabay, Tamir, et al.. (2024). A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Transactions on Signal Processing. 72. 735–743. 6 indexed citations
5.
Cohen, Kobi, et al.. (2024). SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. IEEE Transactions on Wireless Communications. 24(1). 228–243. 5 indexed citations
6.
Cohen, Kobi, et al.. (2023). Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation. IEEE Access. 11. 94623–94635. 4 indexed citations
7.
Dabora, Ron, et al.. (2023). Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. IEEE Transactions on Wireless Communications. 22(7). 4930–4946. 14 indexed citations
8.
Cohen, Kobi, et al.. (2023). Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. IEEE Transactions on Wireless Communications. 23(4). 3691–3705. 6 indexed citations
9.
Cohen, Kobi, et al.. (2021). Anomaly Search With Multiple Plays Under Delay and Switching Costs. IEEE Transactions on Signal Processing. 70. 174–189. 7 indexed citations
10.
Cohen, Kobi, et al.. (2020). Searching for Anomalies Over Composite Hypotheses. IEEE Transactions on Signal Processing. 68. 1181–1196. 17 indexed citations
11.
Cohen, Kobi, et al.. (2020). On Analog Gradient Descent Learning Over Multiple Access Fading Channels. IEEE Transactions on Signal Processing. 68. 2897–2911. 122 indexed citations
12.
Cohen, Kobi, et al.. (2020). Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. IEEE Transactions on Information Theory. 67(2). 1099–1116. 7 indexed citations
13.
Cohen, Kobi, et al.. (2020). REMaDD: Resource-Efficient Malicious Domains Detector in Large-Scale Networks. IEEE Access. 8. 66327–66337. 1 indexed citations
14.
Cohen, Kobi, et al.. (2020). Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks. IEEE Wireless Communications Letters. 9(8). 1309–1313. 2 indexed citations
15.
Cohen, Kobi, et al.. (2020). PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. IEEE Journal of Selected Topics in Signal Processing. 14(4). 789–801. 27 indexed citations
16.
Cohen, Kobi, et al.. (2019). Sequential Anomaly Detection Under a Nonlinear System Cost. IEEE Transactions on Signal Processing. 67(14). 3689–3703. 22 indexed citations
17.
Naparstek, Oshri & Kobi Cohen. (2018). Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. IEEE Transactions on Wireless Communications. 18(1). 310–323. 334 indexed citations breakdown →
18.
Cohen, Kobi, Angelia Nedić, & R. Srikant. (2017). On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. IEEE Transactions on Automatic Control. 62(11). 5974–5981. 29 indexed citations
19.
Naparstek, Oshri & Kobi Cohen. (2017). Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. arXiv (Cornell University). 4 indexed citations
20.
Cohen, Kobi, Angelia Nedić, & R. Srikant. (2016). Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. IEEE Transactions on Automatic Control. 62(6). 2854–2869. 35 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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