Bikash Kumar Dey

1.0k total citations
84 papers, 658 citations indexed

About

Bikash Kumar Dey is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bikash Kumar Dey has authored 84 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 52 papers in Electrical and Electronic Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Bikash Kumar Dey's work include Cooperative Communication and Network Coding (39 papers), Wireless Communication Security Techniques (29 papers) and Advanced MIMO Systems Optimization (16 papers). Bikash Kumar Dey is often cited by papers focused on Cooperative Communication and Network Coding (39 papers), Wireless Communication Security Techniques (29 papers) and Advanced MIMO Systems Optimization (16 papers). Bikash Kumar Dey collaborates with scholars based in India, United States and Hong Kong. Bikash Kumar Dey's co-authors include Sidharth Jaggi, Michael Langberg, S. K. Srivastava, S. Ravi, A. Mondal, Manoranjan Kar, Anand D. Sarwate, D. Manjunath, B. N. Parida and B. Sundar Rajan and has published in prestigious journals such as IEEE Transactions on Information Theory, Small and IEEE Transactions on Signal Processing.

In The Last Decade

Bikash Kumar Dey

78 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bikash Kumar Dey India 14 401 294 231 143 106 84 658
Chenchen Deng China 15 374 0.9× 158 0.5× 47 0.2× 182 1.3× 68 0.6× 48 642
E. Camerlenghi Italy 7 506 1.3× 256 0.9× 152 0.7× 63 0.4× 20 0.2× 14 703
Chunho Lee United States 11 548 1.4× 388 1.3× 188 0.8× 50 0.3× 103 1.0× 25 1.1k
Jungdal Choi South Korea 13 682 1.7× 382 1.3× 122 0.5× 53 0.4× 25 0.2× 26 849
Xu Cheng China 11 279 0.7× 159 0.5× 115 0.5× 52 0.4× 29 0.3× 65 607
Sung‐Hoi Hur South Korea 11 685 1.7× 344 1.2× 176 0.8× 52 0.4× 37 0.3× 32 854
Dayane Reis United States 13 617 1.5× 61 0.2× 155 0.7× 107 0.7× 9 0.1× 38 723
Chih-Hung Liu Taiwan 10 203 0.5× 47 0.2× 63 0.3× 39 0.3× 15 0.1× 34 360
Takahiro Matsumoto Japan 11 283 0.7× 165 0.6× 26 0.1× 122 0.9× 14 0.1× 101 412
Siddhartha Nath United States 13 374 0.9× 232 0.8× 49 0.2× 36 0.3× 54 0.5× 22 586

Countries citing papers authored by Bikash Kumar Dey

Since Specialization
Citations

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

Fields of papers citing papers by Bikash Kumar Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bikash Kumar Dey. 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 Bikash Kumar Dey. The network helps show where Bikash Kumar Dey may publish in the future.

Co-authorship network of co-authors of Bikash Kumar Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Bikash Kumar Dey. A scholar is included among the top collaborators of Bikash Kumar Dey 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 Bikash Kumar Dey. Bikash Kumar Dey 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.
Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, & Yang Zhang. (2024). Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs. Explore Bristol Research. 1586–1591. 1 indexed citations
3.
Bakshi, Mayank, et al.. (2024). Byzantine Multiple Access Channels—Part II: Communication With Adversary Identification. IEEE Transactions on Information Theory. 71(1). 23–60. 1 indexed citations
4.
Bakshi, Mayank, et al.. (2024). Sequential Adversarial Hypothesis Testing. 1474–1479. 1 indexed citations
5.
Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, & Yihan Zhang. (2024). Codes for Adversaries: Between Worst-Case and Average-Case Jamming. Explore Bristol Research. 21(3-4). 300–588. 1 indexed citations
6.
Bakshi, Mayank, et al.. (2023). Byzantine Multiple Access Channels—Part I: Reliable Communication. IEEE Transactions on Information Theory. 70(4). 2309–2366. 2 indexed citations
7.
Bakshi, Mayank, et al.. (2023). Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents. 1225–1230. 1 indexed citations
8.
Dey, Bikash Kumar, et al.. (2022). A level set approach for the computational study of a yield stress fluid filling a thin mold. Journal of Non-Newtonian Fluid Mechanics. 312. 104987–104987. 4 indexed citations
9.
Dey, Bikash Kumar, A. Mondal, G. Bouzerar, et al.. (2022). Influence of K/Mg co-doping in tuning room temperature d0 ferromagnetism, optical and transport properties of ZnO compounds for spintronics applications. Journal of Alloys and Compounds. 934. 167874–167874. 36 indexed citations
10.
Dey, Bikash Kumar, Satadeep Bhattacharjee, B. N. Parida, et al.. (2022). Crystal structure, optical and dielectric properties of Ag:ZnO composite-like compounds. Journal of Materials Science Materials in Electronics. 33(5). 2855–2868. 30 indexed citations
11.
Dey, Bikash Kumar, et al.. (2020). Symmetrizability for Myopic AVCs. Bristol Research (University of Bristol). 2103–2107. 6 indexed citations
12.
Bakshi, Mayank, et al.. (2019). Multiple Access Channels with Adversarial Users. DSpace (IIT Bombay). 435–439. 6 indexed citations
13.
Dey, Bikash Kumar, et al.. (2015). Distributed Rate Adaptation and Power Control in Fading Multiple Access Channels. IEEE Transactions on Information Theory. 61(10). 5504–5524. 11 indexed citations
14.
Dey, Bikash Kumar, et al.. (2014). Correlated jamming in a Joint Source Channel Communication system. 29. 2247–2251. 1 indexed citations
15.
Dey, Bikash Kumar, et al.. (2012). Power controlled adaptive sum-capacity in the presence of distributed CSI. International Symposium on Information Theory and its Applications. 66–70. 3 indexed citations
16.
Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, & Anand D. Sarwate. (2012). Improved upper bounds on the capacity of binary channels with causal adversaries. 681–685. 11 indexed citations
17.
Dey, Bikash Kumar, et al.. (2009). Sum-networks: System of polynomial equations, unachievability of coding capacity, reversibility, insufficiency of linear network coding. arXiv (Cornell University). 4 indexed citations
18.
Dey, Bikash Kumar, et al.. (2009). Sum-networks: system of polynomial equations, reversibility, insufficiency of linear network coding, unachievability of coding capacity. arXiv (Cornell University). 4 indexed citations
19.
Langberg, Michael, Sidharth Jaggi, & Bikash Kumar Dey. (2009). Binary causal-adversary channels. 2723–2727. 21 indexed citations
20.
Dey, Bikash Kumar, Sidharth Jaggi, & Michael Langberg. (2009). Codes against online adversaries. DSpace (IIT Bombay). ii. 1169–1176. 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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