Electronic Communications in Probability

1.0k papers and 7.5k indexed citations

About

The 1.0k papers published in Electronic Communications in Probability in the last decades have received a total of 7.5k indexed citations. Papers published in Electronic Communications in Probability usually cover Mathematical Physics (682 papers), Statistics and Probability (441 papers) and Finance (345 papers) specifically the topics of Stochastic processes and statistical mechanics (532 papers), Stochastic processes and financial applications (327 papers) and Markov Chains and Monte Carlo Methods (232 papers). The most active scholars publishing in Electronic Communications in Probability are Oded Schramm, Jeffrey S. Rosenthal, Mark Rudelson, Roman Vershynin, Sotirios Sabanis, Jason Schweinsberg, Ofer Zeitouni, Gareth O. Roberts, Marc Yor and Itaï Benjamini.

In The Last Decade

Electronic Communications in Probability

896 papers receiving 7.0k citations

Countries where authors publish in Electronic Communications in Probability

Since Specialization
Citations

This map shows the geographic impact of research published in Electronic Communications in Probability. 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 papers published in Electronic Communications in Probability with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Electronic Communications in Probability more than expected).

Fields of papers published in Electronic Communications in Probability

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Electronic Communications in Probability. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Electronic Communications in Probability.

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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