Peter D. Mosses

2.8k citations
95 papers · 938 · h-index 17

Impact in

Papers in

Peter D. Mosses

85 papers receiving 824 citations

Peers

Peter D. Mosses
Comparison fields: 5 of 39
  • Software 229
  • Computational Theory and Mathematics 452
  • Artificial Intelligence 796
  • Hardware and Architecture 85
  • Information Systems 268
Replace Davide Ancona with:
Davide Ancona Italy
Reiner Hähnle Germany
Paul Klint Netherlands
Rami Marelly Israel
Walter L. Hill United States
Donald Sannella United Kingdom
Pascal Fradet France
Bernhard Beckert Germany
Kokichi Futatsugi Japan
Yves Bertot France
Peter D. Mosses relative to Davide Ancona Italy Davide Ancona's profile →
Citations per field
00.5×1.5×1.8×
Davide Ancona · 1×
Citations per year

Countries citing papers authored by Peter D. Mosses

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Mosses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. Mosses. 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 Peter D. Mosses. The network helps show where Peter D. Mosses may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004114
2 200294
3 199639
4 198235
5 200231
6 198628
7 199926
8 200625
9 200424
10 200923
11 199722
12
Casl User Manual: Introduction to Using the Common Algebraic Specification Language Casl (Lecture Notes in Computer Science, 2900)
200420
13 199920
14 200419
15 199819
16 199218
17 200418
18 200115
19 200514
20 200413

About Peter D. Mosses

Peter D. Mosses is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Software and Hardware and Architecture, having authored 95 papers that have together received 938 indexed citations. Recurring topics across this work include Logic, programming, and type systems (60 papers), Formal Methods in Verification (32 papers), Logic, Reasoning, and Knowledge (27 papers), Advanced Software Engineering Methodologies (23 papers), Model-Driven Software Engineering Techniques (17 papers), Semantic Web and Ontologies (13 papers), Software Engineering Research (11 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Software (229 citations), Computational Theory and Mathematics (452 citations), Artificial Intelligence (796 citations), Hardware and Architecture (85 citations) and Information Systems (268 citations). Peter D. Mosses has collaborated with scholars based in Denmark, United Kingdom and Netherlands. Frequent co-authors include Michel Bidoit, Kyung-Goo Doh, Claude Kirchner, David A. Watt, Andrzej Tarlecki, Donald Sannella, Egidio Astesiano, Bernd Krieg-Brückner, Mark van den Brand and Michael I. Schwartzbach. Their work appears in journals such as Science of Computer Programming, Theoretical Computer Science, LISP and Symbolic Computation, Computer Standards & Interfaces and Journal of Logical and Algebraic Methods in 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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