Michael Stepp
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
- Software 4
- Software Testing and Debugging Techniques 4
-
- Formal Methods in Verification 6
- Advanced Graph Theory Research 1
- Co-authors
- Ross Tate (6 shared papers)Sorin Lerner (6 shared papers)Zachary Tatlock (3 shared papers)Christian S. Collberg (4 shared papers)Samuel Debray (2 shared papers)John D. Kececioglu (2 shared papers)Ginger Myles (1 shared paper)Beth S. Simon (1 shared paper)
- Journals
- ACM SIGPLAN Notices (3 papers)Logical Methods in Computer Science (1 paper)Information and Software Technology (1 paper)Software Practice and Experience (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United States
In The Last Decade
Michael Stepp
13 papers receiving 468 citations
Peers
Comparison fields: 5 of 37
- Software 143
- Hardware and Architecture 128
- Signal Processing 185
- Information Systems 202
- Artificial Intelligence 269
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 14 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 | 130 | |
| 2 | 2004 | 111 | |
| 3 | 2011 | 46 | |
| 4 | 2009 | 40 | |
| 5 | 2006 | 36 | |
| 6 | 2008 | 30 | |
| 7 | 2010 | 26 | |
| 8 | 2011 | 24 | |
| 9 | 2004 | 18 | |
| 10 | 2010 | 16 | |
| 11 | 2002 | 7 | |
| 12 | 2005 | 7 | |
| 13 | 2010 | 6 |
About Michael Stepp
Michael Stepp is a scholar working on Software, Computational Theory and Mathematics, Signal Processing, Artificial Intelligence and Information Systems, having authored 13 papers that have together received 497 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Formal Methods in Verification (6 papers), Software Testing and Debugging Techniques (4 papers), Advanced Malware Detection Techniques (4 papers), Software Engineering Research (3 papers), Security and Verification in Computing (3 papers), Logic, Reasoning, and Knowledge (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Software (143 citations), Hardware and Architecture (128 citations), Signal Processing (185 citations), Information Systems (202 citations) and Artificial Intelligence (269 citations). Michael Stepp has collaborated with scholars based in United States. Frequent co-authors include Ross Tate, Sorin Lerner, Zachary Tatlock, Christian S. Collberg, Samuel Debray, John D. Kececioglu, Ginger Myles, Beth S. Simon, Gregg M. Townsend and Edward Carter. Their work appears in journals such as ACM SIGPLAN Notices, Logical Methods in Computer Science, Information and Software Technology, Software Practice and Experience and Lecture notes in computer science.
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.