Arun Raghavan

1.0k citations
22 papers · 743 · h-index 13

Impact in

Papers in

Arun Raghavan

21 papers receiving 710 citations

Peers

Arun Raghavan
Comparison fields: 5 of 37
  • Hardware and Architecture 351
  • Computer Networks and Communications 410
  • Software 65
  • Information Systems 212
  • Signal Processing 56
Replace Chang-Hong Hsu with:
Chang-Hong Hsu United States
Changhee Jung United States
Branden Ghena United States
Charles H.‐P. Wen Taiwan
Jan Haase Austria
Ulf E. Larson Sweden
Mohsen Jahanshahi Iran
Jiaguang Sun China
Philipp Mundhenk Germany
Luís Miguel Pinho Portugal
Arun Raghavan relative to Chang-Hong Hsu United States Chang-Hong Hsu's profile →
Citations per field
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Chang-Hong Hsu · 1×
Citations per year

Countries citing papers authored by Arun Raghavan

Since Specialization
Citations

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

Fields of papers citing papers by Arun Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Arun Raghavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arun Raghavan Line = papers co-authored together Arun Raghavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 2012134
3 201398
4 201677
5 201348
6 200834
7 201332
8 200230
9 201430
10 201327
11 201027
12 201719
13 201315
14 20138
15 20187
16 20134
17
Computational sprinting: exceeding sustainable power in thermally constrained systems
20134
18
File System Independent Metadata Organization for TransCrypt
20082
19 20172
20 20101

About Arun Raghavan

Arun Raghavan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 22 papers that have together received 743 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Green IT and Sustainability (5 papers), Advanced Memory and Neural Computing (5 papers), Advanced Data Storage Technologies (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Database Systems and Queries (3 papers), Cloud Computing and Resource Management (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Hardware and Architecture (351 citations), Computer Networks and Communications (410 citations), Software (65 citations), Information Systems (212 citations) and Signal Processing (56 citations). Arun Raghavan has collaborated with scholars based in United States and Australia. Frequent co-authors include Milo M. K. Martin, Orestis Polychroniou, Marios C. Papaefthymiou, Thomas F. Wenisch, Kevin P. Pipe, Kenneth A. Ross, Lei Shao, Jyotirmoy V. Deshmukh, Rajeev Alur and Abhishek Udupa. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, International Journal of Heat and Mass Transfer, ACM Transactions on Architecture and Code Optimization and ScholarlyCommons (University of Pennsylvania).

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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