Dan Grossman

7.0k citations
135 papers · 4.3k · 3 hit papers · h-index 32

Impact in

Papers in

Dan Grossman

129 papers receiving 4.0k citations

Dan Grossman's Hit Papers

EnerJ 2011 · 427 citations
4270+8+16Years since publication100200300400

Peers

Dan Grossman
Comparison fields: 5 of 84
  • Hardware and Architecture 2.2k
  • Software 576
  • Computer Networks and Communications 2.2k
  • Artificial Intelligence 1.9k
  • Information Systems 1.1k
Replace Milo M. K. Martin with:
Milo M. K. Martin United States
Emery D. Berger United States
J. Eliot B. Moss United States
Vikram Adve United States
David F. Bacon United States
Antony L. Hosking United States
Benjamin G. Zorn United States
Trishul Chilimbi United States
Cormac Flanagan United States
Nickolai Zeldovich United States
Dan Grossman relative to Milo M. K. Martin United States Milo M. K. Martin's profile →
Citations per field
00.5×1.5×
Milo M. K. Martin · 1×
Citations per year

Countries citing papers authored by Dan Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Dan Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EnerJ
Hit paper breakdown →
2011427
2
Cyclone: A Safe Dialect of C
Hit paper breakdown →
2002426
3
EnerJ
Hit paper breakdown →
2011333
4 2002278
5 2010145
6 2007142
7 2010137
8 2010128
9 2003124
10
TALx86: A Realistic Typed Assembly Language∗
1999114
11 200793
12 201284
13 201081
14 200880
15 201275
16 200575
17 200771
18 200466
19 201162
20 200056

About Dan Grossman

Dan Grossman is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Information Systems and Software, having authored 135 papers that have together received 4.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (72 papers), Logic, programming, and type systems (36 papers), Distributed systems and fault tolerance (35 papers), Security and Verification in Computing (29 papers), Software Engineering Research (28 papers), Software Testing and Debugging Techniques (18 papers), Advanced Data Storage Technologies (16 papers) and Advanced Malware Detection Techniques (10 papers). The work is most often cited by research in Hardware and Architecture (2.2k citations), Software (576 citations), Computer Networks and Communications (2.2k citations), Artificial Intelligence (1.9k citations) and Information Systems (1.1k citations). Dan Grossman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Luís Ceze, Adrian Sampson, Trevor Jim, Michael Hicks, Werner Dietl, James Cheney, Greg Morrisett, Tom Bergan, Joseph Devietti and Magdalena Bałazińska. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM Transactions on Programming Languages and Systems, Proceedings of the VLDB Endowment and Science of Computer Programming.

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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