Thomas Johnsson
Impact in
- Artificial Intelligence top 0.5%
- Logic, programming, and type systems
- Advanced Software Engineering Methodologies
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Logic, programming, and type systems 15
-
- Parallel Computing and Optimization Techniques 1
- Co-authors
- Will Partain (2 shared papers)Philip L. Wadler (2 shared papers)Simon Jones (2 shared papers)Paul Hudak (2 shared papers)Joseph H. Fasel (2 shared papers)John Hughes (2 shared papers)Jon Fairbairn (2 shared papers)Kevin Hammond (2 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Journal of Functional Programming (1 paper)Lecture notes in computer science (6 papers)Workshops in computing (2 papers)
- Partner nations
- SwedenNew ZealandUnited States
In The Last Decade
Thomas Johnsson
14 papers receiving 1.5k citations
Thomas Johnsson's Hit Papers
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 1.5k
- Hardware and Architecture 226
- Software 88
- Computational Theory and Mathematics 63
- Computer Science Applications 17
Countries citing papers authored by Thomas Johnsson
This map shows the geographic impact of Thomas Johnsson'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 Thomas Johnsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Johnsson more than expected).
Fields of papers citing papers by Thomas Johnsson
This network shows the impact of papers produced by Thomas Johnsson. 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 Thomas Johnsson. The network helps show where Thomas Johnsson may publish in the future.
Co-authors
The 13 scholars most cited alongside Thomas Johnsson, 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 | 790 |
| 2 | 1985 | 291 | |
| 3 | Report on the Programming Language Haskell, A Non-strict, Purely Functional Language. | 1992 | 228 |
| 4 | 1984 | 172 | |
| 5 | 1987 | 86 | |
| 6 | 1984 | 45 | |
| 7 | 1989 | 44 | |
| 8 | 1997 | 19 | |
| 9 | 1987 | 12 | |
| 10 | 1998 | 7 | |
| 11 | 1995 | 4 | |
| 12 | 1991 | 3 | |
| 13 | 2004 | 2 | |
| 14 | 1991 | 1 | |
| 15 | 1991 | 1 |
About Thomas Johnsson
Thomas Johnsson is a scholar working on Artificial Intelligence, Hardware and Architecture, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (1.5k citations), Hardware and Architecture (226 citations), Software (88 citations), Computational Theory and Mathematics (63 citations) and Computer Science Applications (17 citations). Thomas Johnsson has collaborated with scholars based in Sweden, New Zealand and United States. Frequent co-authors include Will Partain, Philip L. Wadler, Simon Jones, Paul Hudak, Joseph H. Fasel, John Hughes, Jon Fairbairn, Kevin Hammond, Rishiyur S. Nikhil and John M. Peterson. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Lecture notes in computer science and Workshops in computing.
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.