Electronic Journal of Probability

Electronic Journal of Probability
Title	Electronic Journal of Probability
Discipline	Probability theory
Abbreviation	EJP
Publisher	Duke University Press
Country	United States
History	1996–present
Frequency	Continuous

Contents

Electronic Journal of Probability is a peer-reviewed open-access journal covering research in probability theory and stochastic processes. Founded in the mid-1990s during the rise of electronic publishing, the journal has become a recognized venue alongside traditional titles for dissemination of rigorous work by researchers affiliated with institutions such as Princeton University, Harvard University, Stanford University, University of Cambridge, and University of Oxford. It attracts submissions from authors associated with laboratories and schools including Institute for Advanced Study, Massachusetts Institute of Technology, University of California, Berkeley, ETH Zurich, and University of Paris-Saclay.

History

EJP focuses on topics central to probability theory, stochastic analysis, and interacting particle systems, attracting work related to martingales and Itô calculus practiced by researchers at University of Chicago, New York University, University of Toronto, McGill University, and University of British Columbia. Common subjects include percolation and random graphs studied by groups at Massachusetts Institute of Technology, Imperial College London, University of Warwick, University of Oxford, and Princeton University. The journal publishes results on Markov processes connected to research from Statistical Laboratory, Laboratoire de Probabilités, Weierstrass Institute, and Institute of Statistical Mathematics. Articles often overlap with contributions in ergodic theory associated with University of California, Los Angeles, random matrices linked to Institute for Pure and Applied Mathematics, and stochastic partial differential equations studied at University of Paris VI, Scuola Normale Superiore, and École Polytechnique. Topics intersect with mathematical physics communities at Perimeter Institute, CERN, Max Planck Institute for Mathematics, and Kavli Institute.

EJP operates as an open-access journal with continuous online publication, reflecting models adopted by Public Library of Science, BioMed Central, Frontiers Media, and initiatives from Directory of Open Access Journals. The journal’s platform and archival practices are informed by digital preservation efforts at Portico, LOCKSS Program, CrossRef, and DataCite. Authors from University of Michigan, University of Sydney, Seoul National University, Indian Statistical Institute, and National University of Singapore submit manuscripts through an editorial workflow similar to that used by Elsevier, Springer Nature, and Wiley-Blackwell, but with no subscription barriers for readers. Licensing practices are comparable to Creative Commons approaches discussed by SPARC and referenced by funding agencies such as Wellcome Trust, European Research Council, and National Institutes of Health.

The editorial board comprises scholars associated with leading departments and institutes including University of Cambridge, University of Oxford, Columbia University, Université Paris-Sud, ETH Zurich, University of Tokyo, University of Bonn, and University of Copenhagen. The peer-review process follows standards practiced by Institute of Mathematical Statistics, Bernoulli Society, and American Mathematical Society, employing external referees drawn from networks spanning Princeton University, Harvard University, Stanford University, Imperial College London, and University of California, Berkeley. Editorial decisions emphasize originality and technical correctness consistent with expectations at conferences such as Stochastic Processes and Their Applications and workshops at Mathematical Sciences Research Institute.

EJP is indexed in databases and services used by researchers at Clarivate, Scopus, MathSciNet, Zentralblatt MATH, and Google Scholar. Metrics and citation patterns are compared with journals like Annals of Probability, Probability Theory and Related Fields, Stochastic Processes and Their Applications, and Electronic Communications in Probability. Authors affiliated with Princeton University, University of Cambridge, ETH Zurich, University of Chicago, and Columbia University often cite EJP articles when building on results in random matrix theory, percolation, and stochastic calculus. Institutional repositories at Harvard Library, MIT Libraries, Bodleian Library, and Bibliothèque nationale de France preserve records of EJP publications.

EJP has published influential papers that contributed to developments in scaling limits, random graphs, interacting particle systems, and stochastic PDEs, cited alongside landmark works from Tracy–Widom distribution researchers and authors linked to Kardar–Parisi–Zhang equation, SLE (Schramm–Loewner evolution), Loewner theory, and studies emerging from groups at Courant Institute, Institut des Hautes Études Scientifiques, Cambridge Statistical Laboratory, and Rutherford Appleton Laboratory. Contributions have influenced research programs at Percolation Theory workshops and informed lectures at International Congress of Mathematicians, European Congress of Mathematics, and summer schools sponsored by Clay Mathematics Institute.

Category:Academic journals