Kaushik Veeraraghavan

1.8k citations
28 papers · 1.2k indexed · h-index 17
Topics
Distributed systems and fault tolerance (18 papers)Cloud Computing and Resource Management (15 papers)Parallel Computing and Optimization Techniques (11 papers)

In The Last Decade

Kaushik Veeraraghavan

28 papers receiving 1.1k citations

Peers

Kaushik Veeraraghavan
Comparison fields: 5 of 46
  • Computer Networks and Communications 1.0k
  • Information Systems 476
  • Hardware and Architecture 437
  • Artificial Intelligence 215
  • Signal Processing 192
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Countries citing papers authored by Kaushik Veeraraghavan

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Veeraraghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushik Veeraraghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Veeraraghavan. A scholar is included among the top collaborators of Kaushik Veeraraghavan 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 Kaushik Veeraraghavan. Kaushik Veeraraghavan 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
#WorkIndexed citations
1 9
2
Twine: A Unified Cluster Management System for Shared Infrastructure
19
3 7
4 22
5 52
6
Challenges to adopting stronger consistency at scale
19
7 166
8 34
9 71
10 1
11 4
12 3
13 94
14 19
15 72
16 4
17 124
18 37
19
Cobalt: separating content distribution from authorization in distributed file systems
2
20 97

About Kaushik Veeraraghavan

Kaushik Veeraraghavan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (18 papers), Cloud Computing and Resource Management (15 papers) and Parallel Computing and Optimization Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (437 citations), Computer Networks and Communications (1.0k citations) and Software (97 citations). Kaushik Veeraraghavan has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Jason Flinn, Peter M. Chen, Satish Narayanasamy, Dongyoon Lee, Benjamin Wester, Edmund B. Nightingale, Justin Meza, Farnam Jahanian, Evan Cooke and Jon Oberheide. Their work appears in journals such as IEEE Transactions on Mobile Computing, Proceedings of the VLDB Endowment and ACM Transactions on Computer Systems.

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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