Craig Chambers

11.0k citations
126 papers · 8.1k · 2 hit papers · h-index 48

Impact in

Papers in

Craig Chambers

123 papers receiving 7.2k citations

Craig Chambers's Hit Papers

The dataflow model 2015 · 391 citations
3910+10+20Years since publication250500750

Peers

Craig Chambers
Comparison fields: 5 of 85
  • Hardware and Architecture 3.3k
  • Software 1.7k
  • Artificial Intelligence 5.6k
  • Information Systems 3.3k
  • Computer Networks and Communications 3.3k
Replace Laurie Hendren with:
Laurie Hendren Canada
Michael Hicks United States
Jeanne Ferrante United States
Paul Hudak United States
Martin Odersky Switzerland
Barton P. Miller United States
Barbara G. Ryder United States
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Todd Millstein United States
Vijay Saraswat United States
Craig Chambers relative to Laurie Hendren Canada Laurie Hendren's profile →
Citations per field
00.5×1.5×
Laurie Hendren · 1×
Citations per year

Countries citing papers authored by Craig Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Craig Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extensibility safety and performance in the SPIN operating system
Hit paper breakdown →
1995764
2
The dataflow model
Hit paper breakdown →
2015391
3 2002337
4 2007279
5 2010254
6 1992235
7 1997224
8 1989221
9 2000213
10 2001206
11 2002195
12 1989187
13 1989168
14 1996166
15 2006150
16 1991133
17 2004131
18 2000121
19 1996120
20 1999117

About Craig Chambers

Craig Chambers is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Computer Networks and Communications and Software, having authored 126 papers that have together received 8.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (85 papers), Parallel Computing and Optimization Techniques (64 papers), Software Engineering Research (56 papers), Advanced Software Engineering Methodologies (29 papers), Software Testing and Debugging Techniques (26 papers), Formal Methods in Verification (25 papers), Distributed systems and fault tolerance (16 papers) and Security and Verification in Computing (14 papers). The work is most often cited by research in Hardware and Architecture (3.3k citations), Software (1.7k citations), Artificial Intelligence (5.6k citations), Information Systems (3.3k citations) and Computer Networks and Communications (3.3k citations). Craig Chambers has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David Ungar, David Grove, Jonathan Aldrich, Jeffrey A. Dean, Susan J. Eggers, Todd Millstein, David Notkin, Urs Hölzle, Brian N. Bershad and Gary T. Leavens. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, LISP and Symbolic Computation, Lecture notes in computer science 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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