Thomas Johnsson

2.2k citations
8 papers · 862 indexed · 1 hit paper · h-index 7

Thomas Johnsson

8 papers receiving 728 citations

Hit Papers

Report on the programming language Haskell5271992202620032014100200300400500

Peers

Thomas Johnsson
Comparison fields: 5 of 51
  • Hardware and Architecture 308
  • Software 124
  • Computational Theory and Mathematics 385
  • Artificial Intelligence 674
  • Computer Networks and Communications 212
Replace Joseph H. Fasel with:
Joseph H. Fasel United States
Yanhong A. Liu United States
Colin Runciman United Kingdom
John Launchbury United States
P. J. Landin United Kingdom
Ralf Hinze Germany
Helmut Seidl Germany
Yves Bertot France
Craig Schaffert United States
He Jifeng United Kingdom
Thomas Johnsson relative to Joseph H. Fasel United States Joseph H. Fasel's profile →
Citations per field
00.5×1.7×
Joseph H. Fasel · 1×
Citations per year

Countries citing papers authored by Thomas Johnsson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 14 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.

Border = papers with Thomas Johnsson Line = papers co-authored together Thomas Johnsson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20042
2 19986
3
Report on the Programming Language Haskell, A Non-strict, Purely Functional Language.
1992148
4
Report on the programming language Haskellbreakdown →
1992527
5 198924
6 198714
7 198427
8 1984114

About Thomas Johnsson

Thomas Johnsson is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Artificial Intelligence, Strategy and Management and Infectious Diseases, having authored 8 papers that have together received 862 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Formal Methods in Verification (6 papers), Parallel Computing and Optimization Techniques (5 papers), Innovation and Knowledge Management (1 paper), International Business and FDI (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Hardware and Architecture (308 citations), Software (124 citations), Computational Theory and Mathematics (385 citations), Artificial Intelligence (674 citations) and Computer Networks and Communications (212 citations). Thomas Johnsson has collaborated with scholars based in Sweden, United Kingdom and South Sudan. Frequent co-authors include John Hughes, Jon Fairbairn, Joseph H. Fasel, Philip Wadler, Kevin Hammond, Paul Hudak, Will Partain, Rishiyur S. Nikhil, John Peterson and Simon Peyton Jones. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming and International Studies of Management and Organization.

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.

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