Vikram Adve

8.8k citations
136 papers · 5.8k · 1 hit paper · h-index 37

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 0.5%
    • Software Testing and Debugging Techniques

Papers in

Vikram Adve

129 papers receiving 5.4k citations

Vikram Adve's Hit Papers

LLVM: A compilation framework for lifelong program analysis & transformation 2004 · 1.6k citations
1.6k0+7+14Years since publication50010001.5k

Peers

Vikram Adve
Comparison fields: 5 of 80
  • Hardware and Architecture 3.6k
  • Software 851
  • Computer Networks and Communications 3.2k
  • Signal Processing 981
  • Artificial Intelligence 2.3k
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Vikram Adve relative to Kim Hazelwood United States Kim Hazelwood's profile →
Citations per field
00.5×
Kim Hazelwood · 1×
Citations per year

Countries citing papers authored by Vikram Adve

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Adve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LLVM: A compilation framework for lifelong program analysis & transformation
Hit paper breakdown →
20041650
2 2009211
3 2009198
4 2008184
5 2006154
6 2007153
7 2011123
8 2014112
9 2005112
10 2007110
11 199498
12 200897
13 200596
14 199585
15 200683
16 200881
17 201479
18 201579
19 200674
20 200670

About Vikram Adve

Vikram Adve is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Signal Processing, having authored 136 papers that have together received 5.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (90 papers), Distributed systems and fault tolerance (36 papers), Security and Verification in Computing (32 papers), Logic, programming, and type systems (27 papers), Distributed and Parallel Computing Systems (23 papers), Advanced Malware Detection Techniques (18 papers), Advanced Data Storage Technologies (17 papers) and Embedded Systems Design Techniques (13 papers). The work is most often cited by research in Hardware and Architecture (3.6k citations), Software (851 citations), Computer Networks and Communications (3.2k citations), Signal Processing (981 citations) and Artificial Intelligence (2.3k citations). Vikram Adve has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Chris Lattner, Dinakar Dhurjati, Sarita V. Adve, John Criswell, Andrew Lenharth, Robert L. Bocchino, Sumant Kowshik, Swarup Kumar Sahoo, Nathan Dautenhahn and Mary K. Vernon. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, IEEE Micro, ACM Transactions on Embedded Computing Systems and Journal of Parallel and Distributed Computing.

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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