Michael S. Paterson
- Computer Networks and Communications top 0.2%
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.2%
- Hardware and Architecture top 1%
- Information Systems top 1%
- Co-authors
- Michael J. FischerNancy LynchSteven L. TanimotoRobert J. FowlerFei YaoLarry J. StockmeyerCarl HewittLeslie G. Valiant
- Topics
- semigroups and automata theory (11 papers)Computability, Logic, AI Algorithms (10 papers)Computational Geometry and Mesh Generation (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Networks and CommunicationsHardware and Architecture
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Michael S. Paterson
53 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Networks and Communications 2.7k
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 1.2k
- Hardware and Architecture 612
- Information Systems 577
Countries citing papers authored by Michael S. Paterson
This map shows the geographic impact of Michael S. Paterson'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 S. Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Paterson more than expected).
Fields of papers citing papers by Michael S. Paterson
This network shows the impact of papers produced by Michael S. Paterson. 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 S. Paterson. The network helps show where Michael S. Paterson may publish in the future.
Co-authorship network of co-authors of Michael S. Paterson
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Paterson. A scholar is included among the top collaborators of Michael S. Paterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael S. Paterson. Michael S. Paterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 89 | |
| 8 | 417 | |
| 9 | 376 | |
| 10 | 31 | |
| 11 | 30 | |
| 12 | 74 | |
| 13 | 6 | |
| 14 | 58 | |
| 15 | 32 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 24 |
About Michael S. Paterson
Michael S. Paterson is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Hardware and Architecture, having authored 53 papers that have together received 4.6k indexed citations. Recurring topics across this work include semigroups and automata theory (11 papers), Computability, Logic, AI Algorithms (10 papers) and Computational Geometry and Mesh Generation (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (417 citations), Computer Networks and Communications (2.7k citations) and Hardware and Architecture (612 citations). Michael S. Paterson has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Michael J. Fischer, Nancy Lynch, Steven L. Tanimoto, Robert J. Fowler, Fei Yao, Larry J. Stockmeyer, Carl Hewitt, Leslie G. Valiant, Ian Munro and Uri Zwick. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing and Theoretical 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.