Krishnan Eswaran

874 total citations
21 papers, 383 citations indexed

About

Krishnan Eswaran is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Krishnan Eswaran has authored 21 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Krishnan Eswaran's work include Wireless Communication Security Techniques (16 papers), Cellular Automata and Applications (7 papers) and Cooperative Communication and Network Coding (6 papers). Krishnan Eswaran is often cited by papers focused on Wireless Communication Security Techniques (16 papers), Cellular Automata and Applications (7 papers) and Cooperative Communication and Network Coding (6 papers). Krishnan Eswaran collaborates with scholars based in United States and Netherlands. Krishnan Eswaran's co-authors include Michael Gastpar, Kannan Ramchandran, Daniel Tse, Shravya Shetty, Sreenivasa Raju Kalidindi, Yun Liu, Greg S. Corrado, David F. Steiner, Scott Mayer McKinney and Po-Hsuan Cameron Chen and has published in prestigious journals such as Radiology, IEEE Transactions on Information Theory and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Krishnan Eswaran

21 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishnan Eswaran United States 8 156 155 150 79 62 21 383
Smita Parija India 8 31 0.2× 62 0.4× 56 0.4× 101 1.3× 17 0.3× 38 295
Rodolfo M. Pereira Brazil 7 310 2.0× 27 0.2× 24 0.2× 300 3.8× 60 1.0× 15 481
Jainam Shah India 5 203 1.3× 27 0.2× 27 0.2× 147 1.9× 38 0.6× 34 327
Xiaomin Wang China 9 45 0.3× 133 0.9× 240 1.6× 37 0.5× 4 0.1× 28 346
Tej Bahadur Chandra India 8 297 1.9× 14 0.1× 46 0.3× 184 2.3× 36 0.6× 18 425
Shahadate Rezvy United Kingdom 5 114 0.7× 24 0.2× 148 1.0× 213 2.7× 30 0.5× 8 305
Afshar Shamsi Australia 8 111 0.7× 18 0.1× 17 0.1× 139 1.8× 20 0.3× 13 287
Nitin Singhal South Korea 10 75 0.5× 24 0.2× 29 0.2× 93 1.2× 15 0.2× 29 365
Salma Elhag Saudi Arabia 5 65 0.4× 10 0.1× 164 1.1× 194 2.5× 12 0.2× 21 291

Countries citing papers authored by Krishnan Eswaran

Since Specialization
Citations

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

Fields of papers citing papers by Krishnan Eswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnan Eswaran

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnan Eswaran. A scholar is included among the top collaborators of Krishnan Eswaran 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 Krishnan Eswaran. Krishnan Eswaran 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.
Weng, Wei‐Hung, Atilla P. Kiraly, Alexander D’Amour, et al.. (2024). An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health. 6(2). e126–e130. 6 indexed citations
2.
Chen, Christina, Aaron Sarna, Charles T. Lau, et al.. (2022). Simplified Transfer Learning for Chest Radiography Models Using Less Data. Radiology. 305(2). 454–465. 30 indexed citations
3.
Steiner, David F., Joshua Reicher, Scott Mayer McKinney, et al.. (2019). Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation. Radiology. 294(2). 421–431. 171 indexed citations
4.
Eswaran, Krishnan & Michael Gastpar. (2018). Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy-Power. 1–9. 3 indexed citations
5.
Eswaran, Krishnan & Michael Gastpar. (2013). Feedback Communication and Control Over a Single Channel. IEEE Transactions on Information Theory. 59(10). 6243–6257. 1 indexed citations
6.
Eswaran, Krishnan, Michael Gastpar, & Kannan Ramchandran. (2011). Cognitive Radio Through Primary Control Feedback. IEEE Journal on Selected Areas in Communications. 29(2). 384–393. 20 indexed citations
7.
Eswaran, Krishnan, Anand D. Sarwate, Anant Sahai, & Michael Gastpar. (2010). Zero-Rate Feedback Can Achieve the Empirical Capacity. IEEE Transactions on Information Theory. 56(1). 25–39. 25 indexed citations
8.
Eswaran, Krishnan. (2009). Communication and Third Parties: Costs, Cues, and Confidentiality. UC Berkeley. 2 indexed citations
9.
Prabhakaran, Vinod M., Krishnan Eswaran, & Kannan Ramchandran. (2008). Secrecy via Sources and Channels -- A Secret Key - Secret Message Rate Trade-off Region. arXiv (Cornell University). 4 indexed citations
10.
Eswaran, Krishnan & Michael Gastpar. (2008). An observation about feedback from cognitive radio. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1570–1573. 3 indexed citations
11.
Prabhakaran, Vinod M., Krishnan Eswaran, & Kannan Ramchandran. (2008). Secrecy via sources and channels — A secret key - Secret message rate tradeoff region. 1010–1014. 17 indexed citations
12.
Eswaran, Krishnan, Vinod M. Prabhakaran, & Kannan Ramchandran. (2008). Secret communication using sources and channels. 671–675. 2 indexed citations
13.
Eswaran, Krishnan & Michael Gastpar. (2008). Achievable rates for conferencing multiway channels. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 1398–1402. 12 indexed citations
14.
Eswaran, Krishnan, Anand D. Sarwate, Anant Sahai, & Michael Gastpar. (2007). Limited feedback achieves the empirical capacity. arXiv (Cornell University). 3 indexed citations
15.
Eswaran, Krishnan, Anand D. Sarwate, Anant Sahai, & Michael Gastpar. (2007). Using zero-rate feedback on binary additive channels with individual noise sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10 indexed citations
16.
Eswaran, Krishnan, Anand D. Sarwate, Anant Sahai, & Michael Gastpar. (2007). Binary additive channels with individual noise sequences and limited active feedback. UC Berkeley. 5 indexed citations
17.
Eswaran, Krishnan, Michael Gastpar, & Kannan Ramchandran. (2007). Bits through ARQs: Spectrum Sharing with a Primary Packet System. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2171–2175. 50 indexed citations
18.
Eswaran, Krishnan & Michael Gastpar. (2006). Achievable Error Exponents in Multiterminal Source Coding. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1146–1151. 4 indexed citations
19.
Eswaran, Krishnan & Michael Gastpar. (2006). On The Significance Of Binning In A Scaling-law Sense. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 258–262. 3 indexed citations
20.
Eswaran, Krishnan & Michael Gastpar. (2005). On the quadratic AWGN CEO problem and non-gaussian sources. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 219–223. 7 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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