Tim Sheard
Impact in
- Software top 1%
- Model-Driven Software Engineering Techniques
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
-
- Logic, programming, and type systems 51
- Logic, Reasoning, and Knowledge 13
-
- Formal Methods in Verification 25
- Co-authors
- Walid Taha (9 shared papers)Simon Peyton Jones (3 shared papers)Peter Maguire (1 shared paper)Leonidas Fegaras (3 shared papers)Peter Tucker (3 shared papers)David Maier (3 shared papers)David Stemple (16 shared papers)Enes Pašalić (6 shared papers)
- Journals
- ACM SIGPLAN Notices (9 papers)Journal of Functional Programming (2 papers)ACM SIGMOD Record (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Tim Sheard
73 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 98
- Software 477
- Hardware and Architecture 653
- Artificial Intelligence 1.7k
- Computational Theory and Mathematics 645
- Computer Networks and Communications 735
Countries citing papers authored by Tim Sheard
This map shows the geographic impact of Tim Sheard'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 Tim Sheard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Sheard more than expected).
Fields of papers citing papers by Tim Sheard
This network shows the impact of papers produced by Tim Sheard. 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 Tim Sheard. The network helps show where Tim Sheard may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Sheard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 394 | |
| 2 | 2002 | 330 | |
| 3 | 1997 | 214 | |
| 4 | 2003 | 207 | |
| 5 | 2000 | 203 | |
| 6 | 2002 | 101 | |
| 7 | 1996 | 92 | |
| 8 | 2004 | 74 | |
| 9 | 1996 | 69 | |
| 10 | 1993 | 64 | |
| 11 | 1989 | 58 | |
| 12 | 1995 | 53 | |
| 13 | 2002 | 50 | |
| 14 | 1998 | 46 | |
| 15 | 2014 | 45 | |
| 16 | 2014 | 37 | |
| 17 | 2002 | 30 | |
| 18 | 1999 | 29 | |
| 19 | 1994 | 28 | |
| 20 | 2003 | 27 |
About Tim Sheard
Tim Sheard is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 77 papers that have together received 2.6k indexed citations. Recurring topics across this work include Logic, programming, and type systems (51 papers), Formal Methods in Verification (25 papers), Advanced Database Systems and Queries (21 papers), Parallel Computing and Optimization Techniques (15 papers), Distributed systems and fault tolerance (14 papers), Software Engineering Research (13 papers), Logic, Reasoning, and Knowledge (13 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Software (477 citations), Hardware and Architecture (653 citations), Artificial Intelligence (1.7k citations), Computational Theory and Mathematics (645 citations) and Computer Networks and Communications (735 citations). Tim Sheard has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Walid Taha, Simon Peyton Jones, Peter Maguire, Leonidas Fegaras, Peter Tucker, David Maier, David Stemple, Enes Pašalić, John Launchbury and Stephanie Weirich. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering and British Journal of Cancer.
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.