Martin Sulzmann

41 papers receiving 781 citations

Peers

Martin Sulzmann
Comparison fields: 5 of 25
  • Hardware and Architecture 266
  • Software 101
  • Artificial Intelligence 805
  • Computational Theory and Mathematics 341
  • Information Systems 275
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Andrew Tolmach United States
Bruno C. d. S. Oliveira Hong Kong
Francesco Zappa Nardelli France
Ross Paterson United Kingdom
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Citations per year

Countries citing papers authored by Martin Sulzmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sulzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007150
2 1999131
3 201182
4 200869
5 200862
6 200953
7 200646
8 200544
9 200339
10 200423
11
A general framework for hindley/milner type systems with constraints
200023
12
Towards open type functions for Haskell
200715
13 200213
14 200711
15 200810
16 201210
17 200710
18 20027
19 20096
20 20096

About Martin Sulzmann

Martin Sulzmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 43 papers that have together received 863 indexed citations. Recurring topics across this work include Logic, programming, and type systems (32 papers), Formal Methods in Verification (16 papers), Logic, Reasoning, and Knowledge (12 papers), Parallel Computing and Optimization Techniques (10 papers), Software Engineering Research (9 papers), Security and Verification in Computing (7 papers), Advanced Database Systems and Queries (7 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Hardware and Architecture (266 citations), Software (101 citations), Artificial Intelligence (805 citations), Computational Theory and Mathematics (341 citations) and Information Systems (275 citations). Martin Sulzmann has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include Simon Peyton Jones, Tom Schrijvers, Manuel M. T. Chakravarty, Peter J. Stuckey, Martin Odersky, K. Donnelly, Dimitrios Vytiniotis, Simon Peyton-Jones, Gregory J. Duck and Paul Hudak. Their work appears in journals such as Journal of Functional Programming, ACM SIGPLAN Notices, Journal of Computer and System Sciences, Chromosoma and ACM Transactions on Programming Languages and Systems.

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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