William Pugh
- Software top 0.1%
- Software Testing and Debugging Techniques 24
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques 28
- Real-Time Systems Scheduling 8
- Computer Networks and Communications top 0.5%
- Distributed systems and fault tolerance 11
- Software System Performance and Reliability 11
- Information Systems top 0.2%
- Software Engineering Research 22
- Signal Processing top 1%
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- Logic, programming, and type systems 20
- Algorithms and Data Compression 9
- Co-authors
- David HovemeyerNathaniel AyewahJeremy MansonSarita V. AdveJaime SpaccoDavid WonnacottJ. David MorgenthalerJohn Penix
- Journals
- ACM SIGPLAN Notices (6 papers)ACM Transactions on Programming Languages and Systems (4 papers)Communications of the ACM (3 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
William Pugh
89 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Software 1.9k
- Hardware and Architecture 2.3k
- Computer Networks and Communications 2.4k
- Information Systems 2.2k
- Signal Processing 677
Countries citing papers authored by William Pugh
This map shows the geographic impact of William Pugh'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 William Pugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Pugh more than expected).
Fields of papers citing papers by William Pugh
This network shows the impact of papers produced by William Pugh. 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 William Pugh. The network helps show where William Pugh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Pugh, 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 | 2009 | 5 | |
| 2 | 2008 | 0 | |
| 3 | 2007 | 47 | |
| 4 | RUBiS Revisited: Why J2EE Benchmarking is Hard. | 2005 | 5 |
| 5 | 2005 | 62 | |
| 6 | Finding bugs is easybreakdown → | 2004 | 555 |
| 7 | Atomic Instructions in Java | 2002 | 3 |
| 8 | 2002 | 35 | |
| 9 | 2002 | 1 | |
| 10 | 1999 | 70 | |
| 11 | 1992 | 30 | |
| 12 | The definition of dependence distance | 1992 | 3 |
| 13 | 1991 | 45 | |
| 14 | 1990 | 27 | |
| 15 | 1990 | 8 | |
| 16 | Skip lists: a probabilistic alternative to balanced treesbreakdown → | 1990 | 675 |
| 17 | 1988 | 24 | |
| 18 | A New Language Independent Prettyprinting Algorithm | 1987 | 3 |
| 19 | 1983 | 9 | |
| 20 | 1982 | 64 |
About William Pugh
William Pugh is a scholar working on Software, Hardware and Architecture, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 91 papers that have together received 5.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Software Testing and Debugging Techniques (24 papers), Software Engineering Research (22 papers), Logic, programming, and type systems (20 papers), Distributed systems and fault tolerance (11 papers), Software System Performance and Reliability (11 papers), Algorithms and Data Compression (9 papers) and Real-Time Systems Scheduling (8 papers). The work is most often cited by research in Software (1.9k citations), Hardware and Architecture (2.3k citations), Computer Networks and Communications (2.4k citations), Information Systems (2.2k citations) and Signal Processing (677 citations). William Pugh has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include David Hovemeyer, Nathaniel Ayewah, Jeremy Manson, Sarita V. Adve, Jaime Spacco, David Wonnacott, J. David Morgenthaler, John Penix, Wayne Kelly and Evan Rosser. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Communications of the ACM, IEEE Software and Brain Research.
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.