Michael Smyth

4.0k citations
30 papers · 862 · h-index 13

Impact in

Papers in

Michael Smyth

27 papers receiving 774 citations

Peers

Michael Smyth
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 520
  • Artificial Intelligence 607
  • Mathematical Physics 114
  • Geometry and Topology 109
  • Algebra and Number Theory 37
Replace Jean Goubault-Larrecq with:
Jean Goubault-Larrecq France
Alessandro Berarducci Italy
Martı́n Hötzel Escardó United Kingdom
Jan Pachl Canada
Teodor C. Przymusiński United States
B. F. Caviness United States
John Power United Kingdom
Neeraj Kayal India
Mai Gehrke United States
Stasys Jukna Germany
Michael Smyth relative to Jean Goubault-Larrecq France Jean Goubault-Larrecq's profile →
Citations per field
00.5×3.6×
Jean Goubault-Larrecq · 1×
Citations per year

Countries citing papers authored by Michael Smyth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Smyth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982274
2 1978148
3 197784
4 199259
5 198159
6 199440
7 199237
8 199533
9 201621
10 197720
11 197719
12 201615
13 201715
14 19937
15 20034
16 20054
17 20243
18 20083
19
Data Types (Extended Abstract)
19773
20
Finite approximation of spaces
19863

About Michael Smyth

Michael Smyth is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Emergency Medicine, having authored 30 papers that have together received 862 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (7 papers), Logic, programming, and type systems (6 papers), Logic, Reasoning, and Knowledge (6 papers), Computability, Logic, AI Algorithms (5 papers), Advanced Algebra and Logic (5 papers), Topological and Geometric Data Analysis (5 papers), Cardiac Arrest and Resuscitation (3 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (520 citations), Artificial Intelligence (607 citations), Mathematical Physics (114 citations), Geometry and Topology (109 citations) and Algebra and Number Theory (37 citations). Michael Smyth has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Gordon Plotkin, Daniel Lehmann, Gavin D. Perkins, Samantha Brace-McDonnell, Abbas Edalat, Yves Lafont, Simon J. Brookes, Pierre-Louis Curien, Michael Fourman and J.R.B. Cockett. Their work appears in journals such as Theoretical Computer Science, Resuscitation, Applied Categorical Structures, Journal of the London Mathematical Society and Theory of Computing 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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