Dan Grossman
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques 72
- Software top 0.5%
- Software Testing and Debugging Techniques 18
- Computer Networks and Communications top 0.5%
- Distributed systems and fault tolerance 35
- Advanced Data Storage Technologies 16
- Artificial Intelligence top 0.5%
- Logic, programming, and type systems 36
- Security and Verification in Computing 29
- Information Systems top 0.5%
- Software Engineering Research 28
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- Advanced Malware Detection Techniques 10
- Co-authors
- Luís CezeAdrian SampsonTrevor JimMichael HicksWerner DietlJames CheneyGreg MorrisettTom Bergan
- Journals
- ACM SIGPLAN Notices (27 papers)Proceedings of the ACM on Programming Languages (4 papers)ACM Transactions on Programming Languages and Systems (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dan Grossman
129 papers receiving 4.0k citations
Hit Papers
Peers
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
Countries citing papers authored by Dan Grossman
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 28 | |
| 4 | 2019 | 5 | |
| 5 | 2018 | 10 | |
| 6 | 2017 | 7 | |
| 7 | A Solver-Aided Language for Test Input Generation | 2017 | 2 |
| 8 | 2015 | 41 | |
| 9 | The Effect of Child Health Insurance Access on Schooling: Evidence from Public Insurance Expansions | 2014 | 4 |
| 10 | 2014 | 13 | |
| 11 | The Case For Merging Execution- and Language-level Determinism with MELD | 2012 | 2 |
| 12 | 2012 | 26 | |
| 13 | Crunching large graphs with commodity processors | 2011 | 15 |
| 14 | 2006 | 36 | |
| 15 | Advice for Internet Subnetwork Designers | 2004 | 35 |
| 16 | Safe and Flexible Memory Management in Cyclone | 2003 | 4 |
| 17 | 2003 | 124 | |
| 18 | Cyclone: A Safe Dialect of Cbreakdown → | 2002 | 426 |
| 19 | Existential Types for Imperative Languages: Technical Results | 2001 | 1 |
| 20 | Compiling for Runtime Code Generation | 2000 | 3 |
About Dan Grossman
Dan Grossman is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Artificial Intelligence and Information Systems, 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 Kristi Morton. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM Transactions on Programming Languages and Systems, Science of Computer Programming and Journal of Functional 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.