Russell Martin
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 9
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 6
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- Complexity and Algorithms in Graphs 5
- Advanced Graph Theory Research 4
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- Optimization and Search Problems 2
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- Theoretical and Computational Physics 3
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- Game Theory and Voting Systems 3
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- Leslie Ann GoldbergDana RandallMike PatersonZengjian HuPetra BerenbrinkTom FriedetzkyLeszek GąsieniecMary Cryan
- Journals
- SIAM Journal on Computing (1 paper)Theoretical Computer Science (5 papers)Journal of Computer and System Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Russell Martin
18 papers receiving 141 citations
Peers
Comparison fields: 5 of 39
- Statistics and Probability 69
- Mathematical Physics 51
- Discrete Mathematics and Combinatorics 9
- Computational Theory and Mathematics 39
- Computer Networks and Communications 49
Countries citing papers authored by Russell Martin
This map shows the geographic impact of Russell Martin'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 Russell Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russell Martin more than expected).
Fields of papers citing papers by Russell Martin
This network shows the impact of papers produced by Russell Martin. 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 Russell Martin. The network helps show where Russell Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Russell Martin, 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 | 2018 | 1 | |
| 2 | 2017 | 4 | |
| 3 | 2015 | 2 | |
| 4 | 2015 | 2 | |
| 5 | 2012 | 8 | |
| 6 | 2012 | 2 | |
| 7 | 2012 | 3 | |
| 8 | 2012 | 2 | |
| 9 | 2011 | 4 | |
| 10 | 2008 | 28 | |
| 11 | 2007 | 10 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 7 | |
| 14 | 2006 | 5 | |
| 15 | 2005 | 25 | |
| 16 | 2004 | 12 | |
| 17 | 2003 | 12 | |
| 18 | 2002 | 25 |
About Russell Martin
Russell Martin is a scholar working on Statistics and Probability, Mathematical Physics and Computational Theory and Mathematics, having authored 18 papers that have together received 153 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (9 papers), Stochastic processes and statistical mechanics (6 papers), Complexity and Algorithms in Graphs (5 papers), Advanced Graph Theory Research (4 papers), Theoretical and Computational Physics (3 papers), Game Theory and Voting Systems (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Statistics and Probability (69 citations), Mathematical Physics (51 citations) and Discrete Mathematics and Combinatorics (9 citations). Russell Martin has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Leslie Ann Goldberg, Dana Randall, Mike Paterson, Zengjian Hu, Petra Berenbrink, Tom Friedetzky, Leszek Gąsieniec, Mary Cryan, Xiaohui Zhang and Ralf Klasing. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science 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.