K. V. Rashmi
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Kannan RamchandranNihar B. ShahP. Vijay KumarDhruba BorthakurHairong KuangFrancisco MaturanaJuncheng YangPreetum Nakkiran
- Topics
- Caching and Content Delivery (37 papers)Advanced Data Storage Technologies (37 papers)Cooperative Communication and Network Coding (18 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsHardware and Architecture
- Journals
- IEEE Transactions on Information TheoryACM SIGCOMM Computer Communication ReviewACM Transactions on Storage
- Partner nations
- United StatesIndiaFrance
In The Last Decade
K. V. Rashmi
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 1.5k
- Artificial Intelligence 364
- Information Systems 266
- Computational Theory and Mathematics 245
- Electrical and Electronic Engineering 100
Countries citing papers authored by K. V. Rashmi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | A large scale analysis of hundreds of in-memory cache clusters at Twitter | 42 |
| 10 | 22 | |
| 11 | 8 | |
| 12 | Cluster storage systems gotta have HeART: improving storage efficiency by exploiting disk-reliability heterogeneity | 21 |
| 13 | 71 | |
| 14 | 92 | |
| 15 | 118 | |
| 16 | 3 | |
| 17 | 71 | |
| 18 | Secret Share Dissemination across a Network | 1 |
| 19 | 59 | |
| 20 | 159 |
About K. V. Rashmi
K. V. Rashmi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Caching and Content Delivery (37 papers), Advanced Data Storage Technologies (37 papers) and Cooperative Communication and Network Coding (18 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Computational Theory and Mathematics (245 citations) and Hardware and Architecture (88 citations). K. V. Rashmi has collaborated with scholars based in United States, India and France. Frequent co-authors include Kannan Ramchandran, Nihar B. Shah, P. Vijay Kumar, Dhruba Borthakur, Hairong Kuang, Francisco Maturana, Juncheng Yang, Preetum Nakkiran, Mosharaf Chowdhury and Ion Stoica. Their work appears in journals such as IEEE Transactions on Information Theory, ACM SIGCOMM Computer Communication Review and ACM Transactions on Storage.
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.