Mary Cryan
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
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- Advanced Combinatorial Mathematics
Papers in
-
- Markov Chains and Monte Carlo Methods 11
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- Bayesian Modeling and Causal Inference 3
- Algorithms and Data Compression 3
- Machine Learning and Algorithms 3
- Co-authors
- Martin Dyer (9 shared papers)Leslie Ann Goldberg (4 shared papers)Paul W. Goldberg (2 shared papers)Mark Jerrum (2 shared papers)Dana Randall (2 shared papers)Russell Martin (2 shared papers)Leen Stougie (2 shared papers)Haiko Müller (2 shared papers)
- Journals
- SIAM Journal on Computing (3 papers)Bulletin of Symbolic Logic (1 paper)Journal of Computer and System Sciences (1 paper)The Electronic Journal of Combinatorics (1 paper)Random Structures and Algorithms (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Mary Cryan
16 papers receiving 114 citations
Peers
Comparison fields: 5 of 33
- Statistics and Probability 52
- Discrete Mathematics and Combinatorics 15
- Computational Theory and Mathematics 48
- Algebra and Number Theory 11
- Artificial Intelligence 67
Countries citing papers authored by Mary Cryan
This map shows the geographic impact of Mary Cryan'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 Mary Cryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Cryan more than expected).
Fields of papers citing papers by Mary Cryan
This network shows the impact of papers produced by Mary Cryan. 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 Mary Cryan. The network helps show where Mary Cryan may publish in the future.
Co-authors
The 8 scholars most cited alongside Mary Cryan, 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 | 2001 | 26 | |
| 2 | 2002 | 21 | |
| 3 | 2003 | 18 | |
| 4 | 2006 | 14 | |
| 5 | 2003 | 12 | |
| 6 | 2005 | 6 | |
| 7 | 2010 | 5 | |
| 8 | 2003 | 4 | |
| 9 | 2002 | 4 | |
| 10 | 2011 | 4 | |
| 11 | The number of Euler tours of a random regular graph | 2013 | 2 |
| 12 | DMTCS Proceedings, 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10) | 2010 | 2 |
| 13 | 2008 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2006 | 1 |
About Mary Cryan
Mary Cryan is a scholar working on Statistics and Probability, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 16 papers that have together received 122 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (11 papers), Stochastic processes and statistical mechanics (4 papers), Bayesian Modeling and Causal Inference (3 papers), Algorithms and Data Compression (3 papers), Machine Learning and Algorithms (3 papers), Complexity and Algorithms in Graphs (3 papers), Graph theory and applications (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Statistics and Probability (52 citations), Discrete Mathematics and Combinatorics (15 citations), Computational Theory and Mathematics (48 citations), Algebra and Number Theory (11 citations) and Artificial Intelligence (67 citations). Mary Cryan has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Martin Dyer, Leslie Ann Goldberg, Paul W. Goldberg, Mark Jerrum, Dana Randall, Russell Martin, Leen Stougie and Haiko Müller. Their work appears in journals such as SIAM Journal on Computing, Bulletin of Symbolic Logic, Journal of Computer and System Sciences, The Electronic Journal of Combinatorics and Random Structures and Algorithms.
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.