Mads Torgersen

860 citations
18 papers · 623 · h-index 12

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Software Testing and Debugging Techniques
    • Parallel Computing and Optimization Techniques

Papers in

Mads Torgersen

18 papers receiving 587 citations

Peers

Mads Torgersen
Comparison fields: 5 of 51
  • Software 119
  • Hardware and Architecture 121
  • Artificial Intelligence 511
  • Information Systems 300
  • Computational Theory and Mathematics 156
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Vincent Cremet Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Mads Torgersen

Since Specialization
Citations

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

Fields of papers citing papers by Mads Torgersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Mads Torgersen, 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 Mads Torgersen Line = papers co-authored together Mads Torgersen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014124
2 200485
3 200479
4
The expression problem revisited: Four new solutions using generics
200458
5
Unifying Genericity: Combining the Benefits of Virtual Types and Parameterized Classes
199952
6 200745
7 200441
8 201230
9 201028
10
C# Programming Language
200323
11 199917
12 200811
13 200511
14 20079
15 20075
16 20063
17
How to circumvent church numerals
20021
18
A CONCEPTUAL APPROACH TO TEACHING OBJECT-ORIENTATION TO C PROGRAMMERS
19991

About Mads Torgersen

Mads Torgersen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics and Information Systems, having authored 18 papers that have together received 623 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Advanced Database Systems and Queries (5 papers), Parallel Computing and Optimization Techniques (5 papers), Formal Methods in Verification (3 papers), Distributed and Parallel Computing Systems (3 papers), Software Engineering Research (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Software (119 citations), Hardware and Architecture (121 citations), Artificial Intelligence (511 citations), Information Systems (300 citations) and Computational Theory and Mathematics (156 citations). Mads Torgersen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Gavin Bierman, Martı́n Abadi, Erik Meijer, Erik Ernst, Gilad Bracha, Claudio Russo, Geoffrey Mainland, Kasper Lund, Klaus Hansen and Ole Lehrmann Madsen. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science, Computer Languages Systems & Structures, The Journal of Object Technology and Nordic journal of 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.

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