Scott McPeak
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
Papers in
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- Security and Verification in Computing 9
- Logic, programming, and type systems 5
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- Software Engineering Research 6
- Co-authors
- George C. Necula (10 shared papers)Westley Weimer (8 shared papers)Jeremy Condit (4 shared papers)Matthew Harren (4 shared papers)Seth Hallem (1 shared paper)Ken Block (1 shared paper)Andy Chou (1 shared paper)Dawson Engler (1 shared paper)
- Journals
- ACM SIGPLAN Notices (3 papers)ACM Transactions on Programming Languages and Systems (1 paper)Communications of the ACM (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Scott McPeak
12 papers receiving 2.3k citations
Scott McPeak's Hit Papers
Peers
Comparison fields: 5 of 54
- Software 1.0k
- Hardware and Architecture 707
- Signal Processing 723
- Artificial Intelligence 1.5k
- Information Systems 866
Countries citing papers authored by Scott McPeak
This map shows the geographic impact of Scott McPeak'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 Scott McPeak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott McPeak more than expected).
Fields of papers citing papers by Scott McPeak
This network shows the impact of papers produced by Scott McPeak. 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 Scott McPeak. The network helps show where Scott McPeak may publish in the future.
Co-authors
The 8 scholars most cited alongside Scott McPeak, 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 | CIL: Intermediate Language and Tools for Analysis and Transformation of C Programs Hit paper breakdown → | 2002 | 749 |
| 2 | A few billion lines of code later Hit paper breakdown → | 2010 | 478 |
| 3 | 2002 | 327 | |
| 4 | 2005 | 296 | |
| 5 | 2012 | 127 | |
| 6 | 2003 | 116 | |
| 7 | 2004 | 112 | |
| 8 | 2005 | 88 | |
| 9 | 2003 | 80 | |
| 10 | 2002 | 58 | |
| 11 | 2013 | 49 | |
| 12 | 2003 | 2 |
About Scott McPeak
Scott McPeak is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Software and Computer Networks and Communications, having authored 12 papers that have together received 2.5k indexed citations. Recurring topics across this work include Security and Verification in Computing (9 papers), Software Engineering Research (6 papers), Parallel Computing and Optimization Techniques (5 papers), Logic, programming, and type systems (5 papers), Software Testing and Debugging Techniques (4 papers), Advanced Malware Detection Techniques (2 papers), Software System Performance and Reliability (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Software (1.0k citations), Hardware and Architecture (707 citations), Signal Processing (723 citations), Artificial Intelligence (1.5k citations) and Information Systems (866 citations). Scott McPeak has collaborated with scholars based in United States and India. Frequent co-authors include George C. Necula, Westley Weimer, Jeremy Condit, Matthew Harren, Seth Hallem, Ken Block, Andy Chou and Dawson Engler. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Communications of the ACM and Lecture notes in computer science.
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.