Earl T. Barr
Impact in
- Software top 0.1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.1%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 37
- Software Testing and Debugging Techniques 34
- Software Reliability and Analysis Research 18
-
- Software Engineering Research 51
- Software Engineering Techniques and Practices 6
- Co-authors
- Prémkumar DévanbuZhendong SuMark HarmanAbram HindleMark GabelChristian BirdPhil McMinnShin Yoo
- Journals
- IEEE Transactions on Software Engineering (7 papers)ACM SIGPLAN Notices (3 papers)ACM Transactions on Software Engineering and Methodology (2 papers)Communications of the ACM (2 papers)Journal of Systems and Software (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Earl T. Barr
67 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Software 2.0k
- Information Systems 2.5k
- Signal Processing 647
- Computer Science Applications 216
- Computer Networks and Communications 763
Countries citing papers authored by Earl T. Barr
This map shows the geographic impact of Earl T. Barr'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 Earl T. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl T. Barr more than expected).
Fields of papers citing papers by Earl T. Barr
This network shows the impact of papers produced by Earl T. Barr. 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 Earl T. Barr. The network helps show where Earl T. Barr may publish in the future.
Co-authors
The 25 scholars most cited alongside Earl T. Barr, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 59 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 26 | |
| 12 | 2017 | 43 | |
| 13 | Casper: Automatic tracking of null dereferences to inception with causality traces | 2016 | 2 |
| 14 | 2016 | 14 | |
| 15 | Suggesting accurate method and class names Hit paper breakdown → | 2015 | 232 |
| 16 | On the naturalness of software Hit paper breakdown → | 2012 | 337 |
| 17 | 2011 | 3 | |
| 18 | 2009 | 201 | |
| 19 | 2009 | 10 | |
| 20 | 2005 | 35 |
About Earl T. Barr
Earl T. Barr is a scholar working on Software, Information Systems, Information Systems and Management, Signal Processing and Computer Science Applications, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Software Engineering Research (51 papers), Software Testing and Debugging Techniques (34 papers), Software Reliability and Analysis Research (18 papers), Advanced Malware Detection Techniques (10 papers), Software System Performance and Reliability (7 papers), Software Engineering Techniques and Practices (6 papers), Open Source Software Innovations (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Software (2.0k citations), Information Systems (2.5k citations), Signal Processing (647 citations), Computer Science Applications (216 citations) and Computer Networks and Communications (763 citations). Earl T. Barr has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Prémkumar Dévanbu, Zhendong Su, Mark Harman, Abram Hindle, Mark Gabel, Christian Bird, Phil McMinn, Shin Yoo, Muzammil Shahbaz and Miltiadis Allamanis. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology, Communications of the ACM and Journal of Systems and Software.
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.