Shane Markstrum
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Logic, programming, and type systems 7
- Security and Verification in Computing 3
- Advanced Software Engineering Methodologies 3
-
- Software Engineering Research 6
- Co-authors
- Todd Millstein (9 shared papers)Brian Chin (4 shared papers)James Noble (3 shared papers)Emerson Murphy-Hill (5 shared papers)Craig Anslow (4 shared papers)Robert M. Fuhrer (2 shared papers)Daniel Marino (2 shared papers)Peter Reiher (3 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)ACM Transactions on Programming Languages and Systems (1 paper)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Shane Markstrum
18 papers receiving 224 citations
Peers
Comparison fields: 5 of 22
- Software 49
- Hardware and Architecture 50
- Information Systems 115
- Artificial Intelligence 158
- Computer Science Applications 16
Countries citing papers authored by Shane Markstrum
This map shows the geographic impact of Shane Markstrum'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 Shane Markstrum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Markstrum more than expected).
Fields of papers citing papers by Shane Markstrum
This network shows the impact of papers produced by Shane Markstrum. 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 Shane Markstrum. The network helps show where Shane Markstrum may publish in the future.
Co-authors
The 14 scholars most cited alongside Shane Markstrum, 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 | 2006 | 57 | |
| 2 | 2005 | 36 | |
| 3 | 2005 | 27 | |
| 4 | 2010 | 24 | |
| 5 | 2010 | 20 | |
| 6 | 2009 | 11 | |
| 7 | 2005 | 10 | |
| 8 | 2006 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2009 | 7 | |
| 11 | 2003 | 6 | |
| 12 | 2010 | 5 | |
| 13 | Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools | 2011 | 4 |
| 14 | 2009 | 4 | |
| 15 | Proceedings of the ACM 4th annual workshop on Evaluation and usability of programming languages and tools | 2012 | 3 |
| 16 | Enabling Secure Ubiquitous Interactions. | 2003 | 3 |
| 17 | Inference of User-Defined Type Qualifiers and Qualifier Rules | 2006 | 2 |
| 18 | 2007 | 1 |
About Shane Markstrum
Shane Markstrum is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics, having authored 18 papers that have together received 237 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Software Engineering Research (6 papers), Parallel Computing and Optimization Techniques (3 papers), Security and Verification in Computing (3 papers), Advanced Software Engineering Methodologies (3 papers), Network Security and Intrusion Detection (2 papers), Mobile Ad Hoc Networks (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Software (49 citations), Hardware and Architecture (50 citations), Information Systems (115 citations), Artificial Intelligence (158 citations) and Computer Science Applications (16 citations). Shane Markstrum has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Todd Millstein, Brian Chin, James Noble, Emerson Murphy-Hill, Craig Anslow, Robert M. Fuhrer, Daniel Marino, Peter Reiher, Venkatraman Ramakrishna and Gerald J. Popek. Their work appears in journals such as ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.
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.