John Anvik
Impact in
- Information Systems top 0.2%
- Software Engineering Research
- Software Engineering Techniques and Practices
- Software top 2%
- Software Testing and Debugging Techniques
Papers in
-
- Software Engineering Research 21
- Software Engineering Techniques and Practices 2
- Recommender Systems and Techniques 1
-
- Parallel Computing and Optimization Techniques 7
- Co-authors
- Gail C. Murphy (4 shared papers)Lu Zhang (1 shared paper)Jiasu Sun (1 shared paper)Tao Xie (1 shared paper)Xiaoyin Wang (1 shared paper)Duane Szafron (11 shared papers)Zarinah Mohd Kasirun (4 shared papers)Roman Eisner (3 shared papers)
- Journals
- Nucleic Acids Research (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)Journal of Systems and Software (1 paper)Parallel Computing (1 paper)Information and Software Technology (1 paper)
- Partner nations
- CanadaUnited StatesMalaysia
In The Last Decade
John Anvik
32 papers receiving 2.7k citations
John Anvik's Hit Papers
Peers
Comparison fields: 5 of 87
- Information Systems 2k
- Software 227
- Computer Science Applications 106
- Hardware and Architecture 120
- Artificial Intelligence 202
Countries citing papers authored by John Anvik
This map shows the geographic impact of John Anvik'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 John Anvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Anvik more than expected).
Fields of papers citing papers by John Anvik
This network shows the impact of papers produced by John Anvik. 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 John Anvik. The network helps show where John Anvik may publish in the future.
Co-authors
The 23 scholars most cited alongside John Anvik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Who should fix this bug? Hit paper breakdown → | 2006 | 802 |
| 2 | An approach to detecting duplicate bug reports using natural language and execution information Hit paper breakdown → | 2008 | 456 |
| 3 | 2004 | 287 | |
| 4 | 2011 | 233 | |
| 5 | 2005 | 194 | |
| 6 | 2013 | 117 | |
| 7 | 2006 | 93 | |
| 8 | 2007 | 90 | |
| 9 | 2004 | 88 | |
| 10 | Visual explanation of evidence in additive classifiers | 2006 | 71 |
| 11 | 2002 | 67 | |
| 12 | 2015 | 58 | |
| 13 | 2002 | 36 | |
| 14 | 2012 | 31 | |
| 15 | 2014 | 31 | |
| 16 | 2003 | 30 | |
| 17 | 2002 | 29 | |
| 18 | 2003 | 18 | |
| 19 | 2017 | 15 | |
| 20 | 2017 | 9 |
About John Anvik
John Anvik is a scholar working on Information Systems, Hardware and Architecture, Artificial Intelligence, Development and Software, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Software Engineering Research (21 papers), Parallel Computing and Optimization Techniques (7 papers), Software Engineering Techniques and Practices (2 papers), Machine Learning in Bioinformatics (2 papers), Advanced Software Engineering Methodologies (2 papers), Recommender Systems and Techniques (1 paper), Educational Games and Gamification (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Information Systems (2k citations), Software (227 citations), Computer Science Applications (106 citations), Hardware and Architecture (120 citations) and Artificial Intelligence (202 citations). John Anvik has collaborated with scholars based in Canada, United States and Malaysia. Frequent co-authors include Gail C. Murphy, Lu Zhang, Jiasu Sun, Tao Xie, Xiaoyin Wang, Duane Szafron, Zarinah Mohd Kasirun, Roman Eisner, Brett Poulin and Cam Macdonell. Their work appears in journals such as Nucleic Acids Research, ACM Transactions on Software Engineering and Methodology, Journal of Systems and Software, Parallel Computing and Information and Software Technology.
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.