Christopher S. Corley
Impact in
- Software top 10%
- Software Reliability and Analysis Research
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Software Engineering Research 6
- Web Data Mining and Analysis 3
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- Topic Modeling 5
- Co-authors
- Nicholas A. Kraft (9 shared papers)Amiangshu Bosu (1 shared paper)Jeffrey C. Carver (1 shared paper)Kostadin Damevski (2 shared papers)Nathan Klein (1 shared paper)Boyang Li (1 shared paper)Patrick Francis (1 shared paper)Thomas Fritz (1 shared paper)
- Journals
- IBM Systems Journal (1 paper)IEEE Transactions on Software Engineering (1 paper)Zurich Open Repository and Archive (University of Zurich) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Christopher S. Corley
11 papers receiving 264 citations
Peers
Comparison fields: 5 of 38
- Software 52
- Computer Science Applications 67
- Information Systems 203
- Information Systems and Management 49
- Human-Computer Interaction 19
Countries citing papers authored by Christopher S. Corley
This map shows the geographic impact of Christopher S. Corley'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 Christopher S. Corley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Corley more than expected).
Fields of papers citing papers by Christopher S. Corley
This network shows the impact of papers produced by Christopher S. Corley. 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 Christopher S. Corley. The network helps show where Christopher S. Corley may publish in the future.
Co-authors
The 19 scholars most cited alongside Christopher S. Corley, 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 | 2013 | 88 | |
| 2 | 2017 | 55 | |
| 3 | 2015 | 32 | |
| 4 | 2011 | 25 | |
| 5 | 2014 | 22 | |
| 6 | 2007 | 17 | |
| 7 | 2018 | 9 | |
| 8 | 2012 | 8 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 6 | |
| 11 | 2014 | 3 |
About Christopher S. Corley
Christopher S. Corley is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Signal Processing and Human-Computer Interaction, having authored 11 papers that have together received 273 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Topic Modeling (5 papers), Web Data Mining and Analysis (3 papers), Software Testing and Debugging Techniques (2 papers), Personal Information Management and User Behavior (2 papers), Usability and User Interface Design (2 papers), Advanced Malware Detection Techniques (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Software (52 citations), Computer Science Applications (67 citations), Information Systems (203 citations), Information Systems and Management (49 citations) and Human-Computer Interaction (19 citations). Christopher S. Corley has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Nicholas A. Kraft, Amiangshu Bosu, Jeffrey C. Carver, Kostadin Damevski, Nathan Klein, Boyang Li, Patrick Francis, Thomas Fritz, André N. Meyer and Will Snipes. Their work appears in journals such as IBM Systems Journal, IEEE Transactions on Software Engineering and Zurich Open Repository and Archive (University of Zurich).
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.