Mark Shields
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Software top 10%
Papers in ⓘ
-
- Logic, programming, and type systems 10
- Semantic Web and Ontologies 2
- Security and Verification in Computing 2
- Logic, Reasoning, and Knowledge 1
-
- Parallel Computing and Optimization Techniques 5
- Co-authors
- Simon Peyton Jones (6 shared papers)Erik Meijer (3 shared papers)John Launchbury (2 shared papers)Dimitrios Vytiniotis (1 shared paper)Jeffrey R. Lewis (1 shared paper)Stephanie Weirich (1 shared paper)Tim Sheard (1 shared paper)Lee Pike (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Journal of Functional Programming (1 paper)Electronic Notes in Theoretical Computer Science (1 paper)Journal of the Arkansas Academy of Science (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mark Shields
10 papers receiving 333 citations
Peers
Comparison fields: 5 of 23
- Hardware and Architecture 111
- Software 44
- Artificial Intelligence 349
- Computational Theory and Mathematics 156
- Information Systems 106
Countries citing papers authored by Mark Shields
This map shows the geographic impact of Mark Shields'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 Mark Shields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Shields more than expected).
Fields of papers citing papers by Mark Shields
This network shows the impact of papers produced by Mark Shields. 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 Mark Shields. The network helps show where Mark Shields may publish in the future.
Co-authors
The 10 scholars most cited alongside Mark Shields, 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 | 108 | |
| 2 | 2000 | 106 | |
| 3 | 1998 | 46 | |
| 4 | 2001 | 29 | |
| 5 | Lexically-scoped type variables | 2002 | 27 |
| 6 | 1998 | 14 | |
| 7 | 2006 | 13 | |
| 8 | First class modules for Haskell | 2002 | 9 |
| 9 | 2001 | 9 | |
| 10 | 2001 | 1 | |
| 11 | 2021 | 1 |
About Mark Shields
Mark Shields is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Logic, programming, and type systems (10 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Database Systems and Queries (3 papers), Semantic Web and Ontologies (2 papers), Software Engineering Research (2 papers), Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Hardware and Architecture (111 citations), Software (44 citations), Artificial Intelligence (349 citations), Computational Theory and Mathematics (156 citations) and Information Systems (106 citations). Mark Shields has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Simon Peyton Jones, Erik Meijer, John Launchbury, Dimitrios Vytiniotis, Jeffrey R. Lewis, Stephanie Weirich, Tim Sheard, Lee Pike, Andrew Tolmach and John Matthews. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Electronic Notes in Theoretical Computer Science and Journal of the Arkansas Academy of 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.