Arjun Guha

3.5k citations
56 papers · 2.3k · 1 hit paper · h-index 23

Impact in

Papers in

Arjun Guha

55 papers receiving 2.2k citations

Arjun Guha's Hit Papers

NetKAT 2014 · 261 citations
2610+4+8Years since publication50100150200250

Peers

Arjun Guha
Comparison fields: 5 of 59
  • Software 307
  • Computer Networks and Communications 1.5k
  • Hardware and Architecture 362
  • Information Systems 820
  • Signal Processing 296
Replace Michel Dagenais with:
Michel Dagenais Canada
Stelios Sidiroglou United States
Maria Jump United States
Guoqing Xu United States
Evelyn Duesterwald United States
Aurojit Panda United States
Vinod Ganapathy United States
José Nelson Amaral Canada
Manuel Costa United Kingdom
Peter F. Sweeney United States
Arjun Guha relative to Michel Dagenais Canada Michel Dagenais's profile →
Citations per field
00.5×
Michel Dagenais · 1×
Citations per year

Countries citing papers authored by Arjun Guha

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Guha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NetKAT
Hit paper breakdown →
2014261
2 2013226
3 2013164
4 2009135
5 2009126
6 2013123
7 2009121
8 201191
9 201387
10 201483
11 201382
12 201465
13 201964
14 201259
15 201059
16 202356
17 202154
18 201152
19 201644
20 200739

About Arjun Guha

Arjun Guha is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Software and Hardware and Architecture, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Security and Verification in Computing (19 papers), Software Engineering Research (15 papers), Logic, programming, and type systems (13 papers), Software-Defined Networks and 5G (13 papers), Software Testing and Debugging Techniques (13 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Malware Detection Techniques (7 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Software (307 citations), Computer Networks and Communications (1.5k citations), Hardware and Architecture (362 citations), Information Systems (820 citations) and Signal Processing (296 citations). Arjun Guha has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Shriram Krishnamurthi, Nate Foster, Mark Reitblatt, Andrew D. Ferguson, Rodrigo Fonseca, Cole Schlesinger, David Walker, Carolyn Jane Anderson, Dexter Kozen and Jean-Baptiste Jeannin. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, IEEE Robotics and Automation Letters, IEEE Software and IEEE Transactions on Software Engineering.

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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