K. V. Rashmi

88 total papers · 3.1k total citations
55 papers, 1.6k citations indexed

About

K. V. Rashmi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, K. V. Rashmi has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in K. V. Rashmi's work include Caching and Content Delivery (37 papers), Advanced Data Storage Technologies (37 papers) and Cooperative Communication and Network Coding (18 papers). K. V. Rashmi is often cited by papers focused on Caching and Content Delivery (37 papers), Advanced Data Storage Technologies (37 papers) and Cooperative Communication and Network Coding (18 papers). K. V. Rashmi collaborates with scholars based in United States, India and France. K. V. Rashmi's co-authors include Kannan Ramchandran, Nihar B. Shah, P. Vijay Kumar, Dhruba Borthakur, Hairong Kuang, Juncheng Yang, Francisco Maturana, Preetum Nakkiran, Ion Stoica and Shivaram Venkataraman and has published in prestigious journals such as IEEE Transactions on Information Theory, ACM SIGCOMM Computer Communication Review and ACM Transactions on Storage.

In The Last Decade

K. V. Rashmi

47 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. V. Rashmi 1.4k 360 264 245 100 55 1.6k
Lihao Xu 1.1k 0.8× 269 0.7× 140 0.5× 156 0.6× 98 1.0× 65 1.3k
Lawrence H. Landweber 579 0.4× 381 1.1× 172 0.7× 629 2.6× 123 1.2× 49 1.3k
Christian Scheideler 1.7k 1.2× 243 0.7× 126 0.5× 270 1.1× 230 2.3× 136 1.9k
Dimitris Papailiopoulos 1.5k 1.0× 856 2.4× 177 0.7× 332 1.4× 296 3.0× 41 1.9k
Yuchong Hu 1.2k 0.8× 306 0.8× 381 1.4× 118 0.5× 65 0.7× 89 1.4k
Shay Kutten 1.9k 1.3× 419 1.2× 199 0.8× 614 2.5× 309 3.1× 105 2.2k
Vassos Hadzilacos 1.7k 1.2× 213 0.6× 157 0.6× 274 1.1× 70 0.7× 50 1.7k
A. Schiper 2.0k 1.4× 124 0.3× 356 1.3× 165 0.7× 216 2.2× 78 2.1k
Udi Wieder 1.3k 0.9× 223 0.6× 827 3.1× 89 0.4× 51 0.5× 33 1.5k
C. Greg Plaxton 1.2k 0.8× 204 0.6× 113 0.4× 246 1.0× 61 0.6× 38 1.5k

Countries citing papers authored by K. V. Rashmi

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Rashmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Rashmi. 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 K. V. Rashmi. The network helps show where K. V. Rashmi may publish in the future.

Co-authorship network of co-authors of K. V. Rashmi

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

All Works

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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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2026