Michael Stepp
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in ⓘ
-
- Logic, programming, and type systems 6
- Security and Verification in Computing 3
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- Formal Methods in Verification 5
- Co-authors
- Ross Tate (5 shared papers)Sorin Lerner (5 shared papers)Zachary Tatlock (3 shared papers)Christian Collberg (4 shared papers)John Kececioglu (2 shared papers)S. Debray (2 shared papers)Ginger Myles (1 shared paper)Beth Simon (1 shared paper)
- Journals
- ACM SIGPLAN Notices (3 papers)Logical Methods in Computer Science (1 paper)Software Practice and Experience (1 paper)Information and Software Technology (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Stepp
11 papers receiving 320 citations
Peers
Comparison fields: 5 of 32
- Software 91
- Signal Processing 149
- Hardware and Architecture 92
- Information Systems 159
- Artificial Intelligence 185
Countries citing papers authored by Michael Stepp
This map shows the geographic impact of Michael Stepp'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 Michael Stepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Stepp more than expected).
Fields of papers citing papers by Michael Stepp
This network shows the impact of papers produced by Michael Stepp. 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 Michael Stepp. The network helps show where Michael Stepp may publish in the future.
Co-authors
The 13 scholars most cited alongside Michael Stepp, 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 | 2009 | 100 | |
| 2 | 2004 | 91 | |
| 3 | 2006 | 30 | |
| 4 | 2009 | 28 | |
| 5 | 2008 | 27 | |
| 6 | 2011 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2010 | 15 | |
| 9 | 2004 | 12 | |
| 10 | 2002 | 4 | |
| 11 | 2010 | 3 |
About Michael Stepp
Michael Stepp is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Signal Processing and Software, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Logic, programming, and type systems (6 papers), Formal Methods in Verification (5 papers), Advanced Malware Detection Techniques (4 papers), Software Testing and Debugging Techniques (3 papers), Software Engineering Research (3 papers), Security and Verification in Computing (3 papers), Data Management and Algorithms (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Software (91 citations), Signal Processing (149 citations), Hardware and Architecture (92 citations), Information Systems (159 citations) and Artificial Intelligence (185 citations). Michael Stepp has collaborated with scholars based in United States. Frequent co-authors include Ross Tate, Sorin Lerner, Zachary Tatlock, Christian Collberg, John Kececioglu, S. Debray, Ginger Myles, Beth Simon, Edward Carter and Gregg M. Townsend. Their work appears in journals such as ACM SIGPLAN Notices, Logical Methods in Computer Science, Software Practice and Experience 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.