Mary Cryan

415 total citations
16 papers, 122 citations indexed

About

Mary Cryan is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mary Cryan has authored 16 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Mary Cryan's work include Markov Chains and Monte Carlo Methods (11 papers), Stochastic processes and statistical mechanics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Mary Cryan is often cited by papers focused on Markov Chains and Monte Carlo Methods (11 papers), Stochastic processes and statistical mechanics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Mary Cryan collaborates with scholars based in United Kingdom, Netherlands and United States. Mary Cryan's co-authors include Martin Dyer, Leslie Ann Goldberg, Paul W. Goldberg, Mark Jerrum, Dana Randall, Russell Martin, Leen Stougie and Haiko Müller and has published in prestigious journals such as SIAM Journal on Computing, Journal of Computer and System Sciences and Random Structures and Algorithms.

In The Last Decade

Mary Cryan

16 papers receiving 114 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Cryan United Kingdom 6 67 52 48 17 15 16 122
Rosena R. X. Du China 7 44 0.7× 43 0.8× 65 1.4× 32 1.9× 164 10.9× 15 218
Mathilde Bouvel France 8 84 1.3× 29 0.6× 59 1.2× 35 2.1× 97 6.5× 24 149
Serge Grigorieff France 6 55 0.8× 10 0.2× 142 3.0× 29 1.7× 8 0.5× 30 163
Alexander Burstein United States 7 95 1.4× 14 0.3× 86 1.8× 14 0.8× 170 11.3× 22 187
Franco Saliola Canada 8 33 0.5× 8 0.2× 77 1.6× 45 2.6× 79 5.3× 28 166
Frédérique Bassino France 7 84 1.3× 15 0.3× 79 1.6× 35 2.1× 42 2.8× 30 130
Jacques Mandler France 2 21 0.3× 13 0.3× 29 0.6× 8 0.5× 4 0.3× 3 77
Toshiyasu Arai Japan 10 79 1.2× 10 0.2× 136 2.8× 23 1.4× 8 0.5× 42 181
Joachim van den Berg Netherlands 5 67 1.0× 22 0.4× 48 1.0× 27 1.6× 4 0.3× 7 103
Stanley S. Wainer United Kingdom 9 132 2.0× 16 0.3× 207 4.3× 29 1.7× 12 0.8× 21 242

Countries citing papers authored by Mary Cryan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mary Cryan

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Cryan. A scholar is included among the top collaborators of Mary Cryan 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 Mary Cryan. Mary Cryan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Cryan, Mary, et al.. (2013). The number of Euler tours of a random regular graph. The Electronic Journal of Combinatorics. 20(3). 1–31. 2 indexed citations
2.
Cryan, Mary, et al.. (2011). Exact counting of Euler tours for generalized series-parallel graphs. Journal of Discrete Algorithms. 10. 110–122. 4 indexed citations
3.
Cryan, Mary, et al.. (2010). DMTCS Proceedings, 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10). 2 indexed citations
4.
Cryan, Mary, et al.. (2010). The number of Euler tours of a random $d$-in/$d$-out graph. Discrete Mathematics & Theoretical Computer Science. DMTCS Proceedings vol. AM,...(Proceedings). 1 indexed citations
5.
Cryan, Mary, Martin Dyer, & Dana Randall. (2010). Approximately Counting Integral Flows and Cell-Bounded Contingency Tables. SIAM Journal on Computing. 39(7). 2683–2703. 5 indexed citations
6.
Cryan, Mary, Martin Dyer, Haiko Müller, & Leen Stougie. (2008). Random walks on the vertices of transportation polytopes with constant number of sources. Random Structures and Algorithms. 33(3). 333–355. 1 indexed citations
7.
8.
Cryan, Mary, et al.. (2006). Rapidly Mixing Markov Chains for Sampling Contingency Tables with a Constant Number of Rows. SIAM Journal on Computing. 36(1). 247–278. 14 indexed citations
9.
Cryan, Mary, Martin Dyer, & Dana Randall. (2005). Approximately counting integral flows and cell-bounded contingency tables. 413–422. 6 indexed citations
10.
Cryan, Mary, Martin Dyer, Haiko Müller, & Leen Stougie. (2003). Random walks on the vertices of transportation polytopes with constant number of sources. Symposium on Discrete Algorithms. 330–339. 4 indexed citations
11.
Cryan, Mary & Martin Dyer. (2003). A polynomial-time algorithm to approximately count contingency tables when the number of rows is constant. Journal of Computer and System Sciences. 67(2). 291–310. 18 indexed citations
12.
Cryan, Mary, Martin Dyer, Leslie Ann Goldberg, Mark Jerrum, & Russell Martin. (2003). Rapidly mixing Markov chains for sampling contingency tables with a constant number of rows. 711–720. 12 indexed citations
13.
Cryan, Mary & Martin Dyer. (2002). A polynomial-time algorithm to approximately count contingency tables when the number of rows is constant. Edinburgh Research Explorer. 240–249. 21 indexed citations
14.
Cryan, Mary, Leslie Ann Goldberg, & Paul W. Goldberg. (2002). Evolutionary trees can be learned in polynomial time in the two-state general Markov model. 436–445. 4 indexed citations
15.
16.
Cryan, Mary, Leslie Ann Goldberg, & Paul W. Goldberg. (2001). Evolutionary Trees Can be Learned in Polynomial Time in the Two-State General Markov Model. SIAM Journal on Computing. 31(2). 375–397. 26 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rosena R. X. Du Breakdown of academic impact, for papers by Mathilde Bouvel Breakdown of academic impact, for papers by Serge Grigorieff Breakdown of academic impact, for papers by Alexander Burstein Breakdown of academic impact, for papers by Franco Saliola Breakdown of academic impact, for papers by Frédérique Bassino Breakdown of academic impact, for papers by Jacques Mandler Breakdown of academic impact, for papers by Toshiyasu Arai Breakdown of academic impact, for papers by Joachim van den Berg Breakdown of academic impact, for papers by Stanley S. Wainer
Rankless by CCL
2026