Will Partain
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Software top 5%
Papers in
-
- Logic, programming, and type systems 4
- Logic, Reasoning, and Knowledge 1
-
- Software Engineering Research 3
- Co-authors
- Simon Peyton Jones (3 shared papers)Rishiyur S. Nikhil (2 shared papers)John Hughes (2 shared papers)Philip Wadler (2 shared papers)Kevin Hammond (2 shared papers)Jon Fairbairn (2 shared papers)Joseph H. Fasel (2 shared papers)Thomas Johnsson (2 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)USENIX Large Installation Systems Administration Conference (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United KingdomSouth SudanSweden
In The Last Decade
Will Partain
5 papers receiving 622 citations
Will Partain's Hit Papers
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 238
- Software 98
- Computational Theory and Mathematics 328
- Artificial Intelligence 596
- Computer Networks and Communications 185
Countries citing papers authored by Will Partain
This map shows the geographic impact of Will Partain'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 Will Partain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Partain more than expected).
Fields of papers citing papers by Will Partain
This network shows the impact of papers produced by Will Partain. 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 Will Partain. The network helps show where Will Partain may publish in the future.
Co-authors
The 14 scholars most cited alongside Will Partain, 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 | Report on the programming language Haskell Hit paper breakdown → | 1992 | 527 |
| 2 | Report on the Programming Language Haskell, A Non-strict, Purely Functional Language. | 1992 | 148 |
| 3 | 1996 | 50 | |
| 4 | The Arusha Project: A Framework for Collaborative UNIX System Administration | 2001 | 9 |
| 5 | 1996 | 3 | |
| 6 | Implementing Dynamic Arrays: A Challenge for High-Performance Machines, | 1986 | 0 |
About Will Partain
Will Partain is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 6 papers that have together received 737 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), Parallel Computing and Optimization Techniques (3 papers), Software Engineering Research (3 papers), Embedded Systems Design Techniques (1 paper), Scientific Computing and Data Management (1 paper), Logic, Reasoning, and Knowledge (1 paper), Formal Methods in Verification (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (238 citations), Software (98 citations), Computational Theory and Mathematics (328 citations), Artificial Intelligence (596 citations) and Computer Networks and Communications (185 citations). Will Partain has collaborated with scholars based in United Kingdom, South Sudan and Sweden. Frequent co-authors include Simon Peyton Jones, Rishiyur S. Nikhil, John Hughes, Philip Wadler, Kevin Hammond, Jon Fairbairn, Joseph H. Fasel, Thomas Johnsson, Paul Hudak and John Peterson. Their work appears in journals such as ACM SIGPLAN Notices, USENIX Large Installation Systems Administration Conference and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.