Arvind Arvind

7.5k citations
242 papers · 4.4k · h-index 34

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Interconnection Networks and Systems
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Distributed systems and fault tolerance

Papers in

Arvind Arvind

222 papers receiving 4.1k citations

Peers

Arvind Arvind
Comparison fields: 5 of 105
  • Hardware and Architecture 2.4k
  • Computer Networks and Communications 2.2k
  • Artificial Intelligence 1.6k
  • Computational Theory and Mathematics 540
  • Software 112
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Richard Vuduc United States
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Arvind

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Arvind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arvind Arvind, 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 Arvind Arvind Line = papers co-authored together Arvind Arvind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990251
2 1989229
3 1995213
4 1992181
5 1986157
6
An asynchronous programming language and computing machine
1978131
7 2015113
8 1982107
9 198877
10 200072
11 201969
12 201865
13 198361
14 199761
15 201757
16 199952
17 198251
18 198151
19 201650
20 200549

About Arvind Arvind

Arvind Arvind is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 242 papers that have together received 4.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (79 papers), Quantum Information and Cryptography (73 papers), Embedded Systems Design Techniques (51 papers), Quantum Computing Algorithms and Architecture (48 papers), Quantum Mechanics and Applications (45 papers), Distributed and Parallel Computing Systems (33 papers), Advanced Data Storage Technologies (30 papers) and Interconnection Networks and Systems (21 papers). The work is most often cited by research in Hardware and Architecture (2.4k citations), Computer Networks and Communications (2.2k citations), Artificial Intelligence (1.6k citations), Computational Theory and Mathematics (540 citations) and Software (112 citations). Arvind Arvind has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include R. S. Nikhil, David Culler, Kavita Dorai, N. Mukunda, Rishiyur S. Nikhil, Keshav Pingali, Kim P. Gostelow, Richard Simon, Gregory M. Papadopoulos and Biswajit Dutta. Their work appears in journals such as Physical review. A, Physical Review A, Physics Letters A, Quantum Information Processing and ACM Transactions on Programming Languages and 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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