Mitchell Wand

4.0k citations
87 papers · 2.1k · h-index 24

Impact in

Papers in

Mitchell Wand

86 papers receiving 1.8k citations

Peers

Mitchell Wand
Comparison fields: 5 of 48
  • Hardware and Architecture 592
  • Software 276
  • Computational Theory and Mathematics 1.0k
  • Artificial Intelligence 1.9k
  • Information Systems 486
Replace Olivier Danvy with:
Olivier Danvy Denmark
Manuel V. Hermenegildo Spain
Ralf Hinze Germany
Mads Tofte Denmark
Gérard Huet France
Michael I. Schwartzbach Denmark
John Launchbury United States
Peter W. O’Hearn United Kingdom
Stephanie Weirich United States
Richard Waldinger United States
Mitchell Wand relative to Olivier Danvy Denmark Olivier Danvy's profile →
Citations per field
00.5×
Olivier Danvy · 1×
Citations per year

Countries citing papers authored by Mitchell Wand

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Wand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitchell Wand, 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 Mitchell Wand Line = papers co-authored together Mitchell Wand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complete Type Inference for Simple Objects
1987132
2 2004122
3 198693
4 198090
5 197980
6 198276
7 198773
8 198070
9 199167
10 200664
11 198464
12 198458
13 198656
14 198249
15 199748
16 198846
17 197946
18 198642
19 199942
20 199541

About Mitchell Wand

Mitchell Wand is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Information Systems and Software, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (67 papers), Formal Methods in Verification (31 papers), Parallel Computing and Optimization Techniques (20 papers), Logic, Reasoning, and Knowledge (19 papers), Software Engineering Research (15 papers), Advanced Software Engineering Methodologies (12 papers), Computability, Logic, AI Algorithms (10 papers) and semigroups and automata theory (10 papers). The work is most often cited by research in Hardware and Architecture (592 citations), Software (276 citations), Computational Theory and Mathematics (1.0k citations), Artificial Intelligence (1.9k citations) and Information Systems (486 citations). Mitchell Wand has collaborated with scholars based in United States, Mexico and Denmark. Frequent co-authors include Daniel P. Friedman, Paul Steckler, Christopher T. Haynes, Gregor Kiczales, Christopher Dutchyn, Vasileios Koutavas, Aaron Turon, John D. Ramsdell, Jens Palsberg and Joshua D. Guttman. Their work appears in journals such as LISP and Symbolic Computation, ACM SIGPLAN Notices, Journal of Functional Programming, ACM Transactions on Programming Languages and Systems and Proceedings of the ACM on Programming Languages.

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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