Jan Midtgaard

975 citations
34 papers · 688 · h-index 14

Impact in

Papers in

Jan Midtgaard

34 papers receiving 590 citations

Peers

Jan Midtgaard
Comparison fields: 5 of 33
  • Software 123
  • Hardware and Architecture 182
  • Computational Theory and Mathematics 368
  • Artificial Intelligence 609
  • Information Systems 146
Replace Dan R. Ghica with:
Dan R. Ghica United Kingdom
Wouter Swierstra Netherlands
Julia L. Lawall France
Ulf Norell Sweden
Andy Gill United States
J. B. Wells United Kingdom
Huu Hai Nguyen Singapore
Arthur Charguéraud France
Ross Tate United States
Sandrine Blazy France
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Citations per field
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Dan R. Ghica · 1×
Citations per year

Countries citing papers authored by Jan Midtgaard

Since Specialization
Citations

This map shows the geographic impact of Jan Midtgaard'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 Jan Midtgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Midtgaard more than expected).

Fields of papers citing papers by Jan Midtgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Midtgaard. 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 Jan Midtgaard. The network helps show where Jan Midtgaard may publish in the future.

Co-authors

The 19 scholars most cited alongside Jan Midtgaard, 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 Jan Midtgaard Line = papers co-authored together Jan Midtgaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003104
2 2003104
3 200464
4 200550
5 200350
6 201239
7 201533
8 200828
9 200921
10 201719
11 201318
12 200416
13 200313
14 201713
15 201413
16 200712
17
Subcubic Control Flow Analysis Algorithms
200910
18 20159
19 20189
20 20038

About Jan Midtgaard

Jan Midtgaard is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Hardware and Architecture and Information Systems, having authored 34 papers that have together received 688 indexed citations. Recurring topics across this work include Logic, programming, and type systems (26 papers), Formal Methods in Verification (17 papers), Logic, Reasoning, and Knowledge (9 papers), Software Testing and Debugging Techniques (8 papers), Parallel Computing and Optimization Techniques (6 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Research (5 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Software (123 citations), Hardware and Architecture (182 citations), Computational Theory and Mathematics (368 citations), Artificial Intelligence (609 citations) and Information Systems (146 citations). Jan Midtgaard has collaborated with scholars based in Denmark, United States and France. Frequent co-authors include Olivier Danvy, Mads Sig Ager, Dariusz Biernacki, Thomas Wiben Jensen, Andrzej Wąsowski, Claus Brabrand, Anders Møller, Flemming Nielson, Hanne Riis Nielson and Aleksandar S. Dimovski. Their work appears in journals such as ACM SIGPLAN Notices, Science of Computer Programming, Proceedings of the ACM on Programming Languages, Software Testing Verification and Reliability and ACM Computing Surveys.

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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