John Micco
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Information Systems top 10%
- Software Engineering Techniques and Practices
- Software Engineering Research
- Cloud Computing and Resource Management
Papers in
- Software 3
- Software Testing and Debugging Techniques 3
-
- Software Engineering Techniques and Practices 2
- Co-authors
- Eric Nickell (1 shared paper)Atif M. Memon (1 shared paper)Zebao Gao (1 shared paper)Yves Le Traon (2 shared papers)Mike Papadakis (2 shared papers)Abhayendra Singh (1 shared paper)Chris Parnin (2 shared papers)Laurie Williams (2 shared papers)
- Journals
- IEEE Software (1 paper)IEEE/ACM International Conference on Automated Software Engineering (ASE) (1 paper)IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (1 paper)Advances in systems analysis, software engineering, and high performance computing book series (1 paper)
- Partner nations
- United StatesUnited KingdomLuxembourg
In The Last Decade
John Micco
6 papers receiving 307 citations
Peers
Comparison fields: 5 of 9
- Software 202
- Information Systems 77
- Health Informatics 1
- Information Systems and Management 1
- Management Science and Operations Research 2
Countries citing papers authored by John Micco
This map shows the geographic impact of John Micco'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 Micco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Micco more than expected).
Fields of papers citing papers by John Micco
This network shows the impact of papers produced by John Micco. 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 Micco. The network helps show where John Micco may publish in the future.
Co-authors
The 16 scholars most cited alongside John Micco, 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 | 2017 | 176 | |
| 2 | 2017 | 66 | |
| 3 | The State of Continuous Integration Testing @Google | 2017 | 36 |
| 4 | 2019 | 30 | |
| 5 | 2024 | 3 | |
| 6 | 2020 | 1 |
About John Micco
John Micco is a scholar working on Software, Information Systems, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 6 papers that have together received 312 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (3 papers) and Software Engineering Techniques and Practices (2 papers). The work is most often cited by research in Software (202 citations), Information Systems (77 citations), Health Informatics (1 citation), Information Systems and Management (1 citation) and Management Science and Operations Research (2 citations). John Micco has collaborated with scholars based in United States, United Kingdom and Luxembourg. Frequent co-authors include Eric Nickell, Atif M. Memon, Zebao Gao, Yves Le Traon, Mike Papadakis, Abhayendra Singh, Chris Parnin, Laurie Williams, Tony Savor and Michael Stumm. Their work appears in journals such as IEEE Software, IEEE/ACM International Conference on Automated Software Engineering (ASE), IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) and Advances in systems analysis, software engineering, and high performance computing book series.
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.