Mads Tofte

34 papers receiving 3.8k citations

Mads Tofte's Hit Papers

The Definition of Standard ML (Revised) 1997 · 776 citations
7760+9+19Years since publication4008001.2k

Peers

Mads Tofte
Comparison fields: 5 of 70
  • Hardware and Architecture 1.5k
  • Software 574
  • Computational Theory and Mathematics 1.9k
  • Artificial Intelligence 3.6k
  • Computer Networks and Communications 1.1k
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Countries citing papers authored by Mads Tofte

Since Specialization
Citations

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

Fields of papers citing papers by Mads Tofte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Definition of Standard ML
Hit paper breakdown →
19971467
2
The Definition of Standard ML (Revised)
Hit paper breakdown →
1997776
3 1997485
4 1994286
5
Proof, language, and interaction: essays in honour of Robin Milner
2000252
6 1990146
7 1996114
8 1991107
9
Commentary on Standard ML
1990105
10 1998104
11 200272
12 200449
13
The definition of standard ML, Version 3
198848
14 199445
15 199941
16
The definition of standard ML Version 2: LFCS report ECS-LFCS-88-62
198827
17 199824
18 199223
19 200117
20
Compiler Generators: What They Can Do, What They Might Do, and What They Will Probably Never Do
199010

About Mads Tofte

Mads Tofte is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 36 papers that have together received 4.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (22 papers), Parallel Computing and Optimization Techniques (16 papers), Formal Methods in Verification (9 papers), Logic, Reasoning, and Knowledge (6 papers), Distributed systems and fault tolerance (5 papers), Advanced Data Storage Technologies (3 papers), Software Engineering Research (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Software (574 citations), Computational Theory and Mathematics (1.9k citations), Artificial Intelligence (3.6k citations) and Computer Networks and Communications (1.1k citations). Mads Tofte has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Robin Milner, Robert Harper, David MacQueen, Jean-Pierre Talpin, Lars Birkedal, Colin Stirling, Gordon Plotkin, Martin Elsman, Morten Heine Sørensen and Fritz Henglein. Their work appears in journals such as Theoretical Computer Science, ACM SIGPLAN Notices, Information and Computation, ACM Transactions on Programming Languages and Systems and Journal of Functional Programming.

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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