Grant Malcolm

1.3k citations
29 papers · 595 · h-index 13

Impact in

Papers in

Grant Malcolm

26 papers receiving 520 citations

Peers

Grant Malcolm
Comparison fields: 5 of 55
  • Software 101
  • Computational Theory and Mathematics 366
  • Artificial Intelligence 472
  • Hardware and Architecture 49
  • Computer Networks and Communications 111
Replace Jan Małuszyński with:
Jan Małuszyński Sweden
R. D. Tennent Canada
Moreno Falaschi Italy
Anne Brüggemann-Klein Germany
Robert Schrag United States
Amy Felty Canada
Terrance Swift United States
Hassan Aı̈t-Kaci France
Bard Bloom United States
Eric C. R. Hehner Canada
Grant Malcolm relative to Jan Małuszyński Sweden Jan Małuszyński's profile →
Citations per field
00.5×2.7×
Jan Małuszyński · 1×
Citations per year

Countries citing papers authored by Grant Malcolm

Since Specialization
Citations

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

Fields of papers citing papers by Grant Malcolm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000122
2 1990102
3 199690
4
Algebraic Data Types and Program Transformation
199052
5 200026
6
Software Engineering with Obj: Algebraic Specification In Action
201024
7 199924
8 198923
9
Order Sorted Algebra
199618
10 200617
11 200015
12
HOMOMORPHISMS AND PROMOTABILITY
198912
13 200812
14 20098
15
Proof of correctness of object representations
19947
16 20027
17
Polynomial Relators (Extended Abstract)
19916
18
Semantics for interoperability: relating ontologies and schemata
20035
19 19915
20 20045

About Grant Malcolm

Grant Malcolm is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Software, having authored 29 papers that have together received 595 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Formal Methods in Verification (9 papers), Cellular Automata and Applications (5 papers), Advanced Database Systems and Queries (5 papers), Advanced Software Engineering Methodologies (4 papers), Computability, Logic, AI Algorithms (4 papers), Advanced Malware Detection Techniques (3 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Software (101 citations), Computational Theory and Mathematics (366 citations), Artificial Intelligence (472 citations), Hardware and Architecture (49 citations) and Computer Networks and Communications (111 citations). Grant Malcolm has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Joseph A. Goguen, Matt Webster, Roland Backhouse, Michael J. Fisher, Jean‐Louis Giavitto, M. J. R. Shave, Trevor Bench‐Capon, Olivier Michel, Paul Hoogendijk and Sarah Shomstein. Their work appears in journals such as Science of Computer Programming, Studia Logica, Journal of Vision, Formal Aspects of Computing and Mathematical Structures in Computer Science.

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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