Martin Dyer
Impact in
- Statistics and Probability top 0.2%
- Markov Chains and Monte Carlo Methods
-
- Computational Geometry and Mesh Generation
Papers in
-
- Markov Chains and Monte Carlo Methods 59
-
- Limits and Structures in Graph Theory 17
- Co-authors
- Alan FriezeCatherine GreenhillRavi KannanRuss BubleyMark JerrumLaurence A. WolseyLeen StougieL. G. Proll
- Journals
- Random Structures and Algorithms (19 papers)Mathematical Programming (13 papers)SIAM Journal on Computing (12 papers)Discrete Applied Mathematics (4 papers)Journal of Computer and System Sciences (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Martin Dyer
137 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 135
- Statistics and Probability 1.3k
- Computer Graphics and Computer-Aided Design 519
- Discrete Mathematics and Combinatorics 369
- Computational Theory and Mathematics 1.7k
- Mathematical Physics 555
Countries citing papers authored by Martin Dyer
This map shows the geographic impact of Martin Dyer'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 Martin Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Dyer more than expected).
Fields of papers citing papers by Martin Dyer
This network shows the impact of papers produced by Martin Dyer. 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 Martin Dyer. The network helps show where Martin Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Dyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2015 | 20 | |
| 3 | 2014 | 7 | |
| 4 | 2014 | 5 | |
| 5 | 2012 | 5 | |
| 6 | 2011 | 22 | |
| 7 | 2003 | 4 | |
| 8 | Computational complexity of stochastic programming problems | 2003 | 5 |
| 9 | 2003 | 18 | |
| 10 | 2000 | 2 | |
| 11 | 2000 | 12 | |
| 12 | 1999 | 82 | |
| 13 | 1998 | 21 | |
| 14 | 1998 | 12 | |
| 15 | Scalable and portable computing using the WPRAM model | 1997 | 1 |
| 16 | Parallel algorithm design on the WPRAM model | 1995 | 3 |
| 17 | 1992 | 24 | |
| 18 | 1990 | 5 | |
| 19 | 1990 | 177 | |
| 20 | 1984 | 32 |
About Martin Dyer
Martin Dyer is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design, Mathematical Physics and Computational Theory and Mathematics, having authored 140 papers that have together received 4.7k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (59 papers), Advanced Graph Theory Research (37 papers), Complexity and Algorithms in Graphs (32 papers), Stochastic processes and statistical mechanics (32 papers), Limits and Structures in Graph Theory (17 papers), Optimization and Packing Problems (15 papers), Computational Geometry and Mesh Generation (14 papers) and Optimization and Search Problems (12 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Computer Graphics and Computer-Aided Design (519 citations), Discrete Mathematics and Combinatorics (369 citations), Computational Theory and Mathematics (1.7k citations) and Mathematical Physics (555 citations). Martin Dyer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alan Frieze, Catherine Greenhill, Ravi Kannan, Russ Bubley, Mark Jerrum, Laurence A. Wolsey, Leen Stougie, L. G. Proll, Leslie Ann Goldberg and Barbara M. Smith. Their work appears in journals such as Random Structures and Algorithms, Mathematical Programming, SIAM Journal on Computing, Discrete Applied Mathematics and Journal of Computer and System Sciences.
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.