Jem N. Corcoran

565 total citations
10 papers, 340 citations indexed

About

Jem N. Corcoran is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Jem N. Corcoran has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Mathematical Physics and 5 papers in Artificial Intelligence. Recurrent topics in Jem N. Corcoran's work include Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (5 papers) and Bayesian Methods and Mixture Models (3 papers). Jem N. Corcoran is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (5 papers) and Bayesian Methods and Mixture Models (3 papers). Jem N. Corcoran collaborates with scholars based in United States, Bulgaria and Russia. Jem N. Corcoran's co-authors include Richard L. Tweedie, Sergey Foss and H.-B. Schüttler and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Statistical Planning and Inference and The Annals of Applied Probability.

In The Last Decade

Jem N. Corcoran

10 papers receiving 321 citations

Peers

Jem N. Corcoran

FINAN

SP

EE

MSOR

AI

Reg Kulperger Canada

Krishanu Maulik India

Norbert Christopeit Germany

Sylvain Delattre France

Christian Y. Robert France

Xili Zhang China

Pierre Patie United States

René Ferland Canada

V. E. Bening Russia

Dmitrii Silvestrov Sweden

Reg Kulperger Canada

Jem N. Corcoran

225 ×1.9

FINAN

116 ×1.2

SP

102 ×1.1

EE

58 ×0.8

MSOR

43 ×0.8

AI

Citations per year, relative to Jem N. Corcoran Jem N. Corcoran (= 1×) peers Reg Kulperger

Countries citing papers authored by Jem N. Corcoran

Since Specialization

Citations

This map shows the geographic impact of Jem N. Corcoran'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 Jem N. Corcoran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jem N. Corcoran more than expected).

Fields of papers citing papers by Jem N. Corcoran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jem N. Corcoran. 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 Jem N. Corcoran. The network helps show where Jem N. Corcoran may publish in the future.

Co-authorship network of co-authors of Jem N. Corcoran

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

All Works

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10 of 10 papers shown

1.

Corcoran, Jem N., et al.. (2017). A BIRTH AND DEATH PROCESS FOR BAYESIAN NETWORK STRUCTURE INFERENCE. Probability in the Engineering and Informational Sciences. 32(4). 615–625. 2 indexed citations

2.

Corcoran, Jem N., et al.. (2006). PERFECT STOCHASTIC SUMMATION IN HIGH ORDER FEYNMAN GRAPH EXPANSIONS. International Journal of Modern Physics C. 17(11). 1527–1549. 2 indexed citations

3.

Corcoran, Jem N., et al.. (2005). Pseudo-perfect and adaptive variants of the Metropolis–Hastings algorithm with an independent candidate density. Journal of Statistical Computation and Simulation. 75(6). 459–475. 2 indexed citations

4.

Corcoran, Jem N., et al.. (2003). Perfect sampling for Bayesian variable selection in a linear regression model. Quality Engineering. 126(1). 153–171. 2 indexed citations

5.

Corcoran, Jem N., et al.. (2003). SHIFT AND SCALE COUPLING METHODS FOR PERFECT SIMULATION. Probability in the Engineering and Informational Sciences. 17(3). 277–303. 4 indexed citations

6.

Corcoran, Jem N.. (2002). Modelling Extremal Events for Insurance and Finance. Journal of the American Statistical Association. 97(457). 360–360. 256 indexed citations

7.

Corcoran, Jem N. & Richard L. Tweedie. (2002). Perfect sampling from independent Metropolis-Hastings chains. Journal of Statistical Planning and Inference. 104(2). 297–314. 13 indexed citations

8.

Corcoran, Jem N. & Richard L. Tweedie. (2001). Perfect sampling of ergodic Harris chains. The Annals of Applied Probability. 11(2). 24 indexed citations

9.

Corcoran, Jem N., et al.. (1999). Probabilistic Modelling. Journal of the American Statistical Association. 94(447). 986–986. 18 indexed citations

10.

Foss, Sergey, Richard L. Tweedie, & Jem N. Corcoran. (1998). Simulating the Invariant Measures of Markov Chains Using Backward Coupling at Regeneration Times. Probability in the Engineering and Informational Sciences. 12(3). 303–320. 17 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.

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