John Anvik
- Software top 0.2%
- Software Reliability and Analysis Research 5
- Information Systems top 0.2%
- Software Engineering Research 20
- Software Engineering Techniques and Practices 10
- Web Data Mining and Analysis 5
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- Open Source Software Innovations 5
- Signal Processing top 2%
- Advanced Malware Detection Techniques 5
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- Distributed and Parallel Computing Systems 4
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Gail C. MurphyXiaoyin WangLu ZhangJiasu SunTao XieDuane SzafronZarinah Mohd KasirunRoman Eisner
- Journals
- ACM Transactions on Software Engineering and Methodology (1 paper)Bioinformatics (1 paper)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- CanadaUnited StatesMalaysia
In The Last Decade
John Anvik
29 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Software 1.1k
- Information Systems 2.0k
- Computer Science Applications 348
- Signal Processing 442
- Computer Networks and Communications 592
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2019 | 1 | |
| 3 | Evaluating an assistant for creating bug report assignment recommenders | 2016 | 4 |
| 4 | 2016 | 3 | |
| 5 | 2015 | 52 | |
| 6 | 2014 | 8 | |
| 7 | 2014 | 28 | |
| 8 | 2012 | 25 | |
| 9 | 2011 | 218 | |
| 10 | An approach to detecting duplicate bug reports using natural language and execution informationbreakdown → | 2008 | 429 |
| 11 | Visual explanation of evidence in additive classifiers | 2006 | 57 |
| 12 | Who should fix this bug?breakdown → | 2006 | 725 |
| 13 | 2005 | 4 | |
| 14 | 2004 | 88 | |
| 15 | 2004 | 276 | |
| 16 | 2003 | 26 | |
| 17 | 2003 | 4 | |
| 18 | 2002 | 49 | |
| 19 | 2002 | 28 | |
| 20 | 2001 | 5 |
About John Anvik
John Anvik is a scholar working on Software, Computer Science Applications, Information Systems, Hardware and Architecture and Signal Processing, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Software Engineering Research (20 papers), Software Engineering Techniques and Practices (10 papers), Software Reliability and Analysis Research (5 papers), Open Source Software Innovations (5 papers), Web Data Mining and Analysis (5 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Malware Detection Techniques (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Software (1.1k citations), Information Systems (2.0k citations), Computer Science Applications (348 citations), Signal Processing (442 citations) and Computer Networks and Communications (592 citations). John Anvik has collaborated with scholars based in Canada, United States and Malaysia. Frequent co-authors include Gail C. Murphy, Xiaoyin Wang, Lu Zhang, Jiasu Sun, Tao Xie, Duane Szafron, Zarinah Mohd Kasirun, Roman Eisner, Brett Poulin and Cam Macdonell. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Bioinformatics, Journal of Parallel and Distributed Computing, ACM SIGPLAN Notices 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.