Martingale Limit Theory and its Application.

2.0k indexed citations

Abstract

loading...

About

This paper, published in 1984, received 2.0k indexed citations. Written by R. M. Loynes, Peter Hall and C. C. Heyde covering the research area of . It is primarily cited by scholars working on Statistics and Probability (980 citations), Finance (852 citations) and Mathematical Physics (432 citations). Published in Journal of the Royal Statistical Society Series A (General).

In The Last Decade

doi.org/10.2307/2981599 →

Countries where authors are citing Martingale Limit Theory and its Application.

Specialization
Citations

This map shows the geographic impact of Martingale Limit Theory and its Application.. 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 Martingale Limit Theory and its Application. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martingale Limit Theory and its Application. more than expected).

Fields of papers citing Martingale Limit Theory and its Application.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Martingale Limit Theory and its Application.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Martingale Limit Theory and its Application..

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.

This paper is also available at doi.org/10.2307/2981599.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026