Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV
19692.2k citationsJerzy Neyman et al.Revue de l Institut International de Statistique / Review of the International Statistical Instituteprofile →
This map shows the geographic impact of Jerzy Neyman'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 Jerzy Neyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerzy Neyman more than expected).
This network shows the impact of papers produced by Jerzy Neyman. 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 Jerzy Neyman. The network helps show where Jerzy Neyman may publish in the future.
Co-authorship network of co-authors of Jerzy Neyman
This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Neyman.
A scholar is included among the top collaborators of Jerzy Neyman 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 Jerzy Neyman. Jerzy Neyman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Neyman, Jerzy, et al.. (2015). The effects of copy, cover, compare for spelling for a high school student with intellectual disabilities. International Journal of Multidisciplinary Research and Development. 2(2). 236–240.1 indexed citations
Cam, Lucien M. Le, Jerzy Neyman, & Elizabeth L. Scott. (1972). Darwinian, neo-Darwinian, and non-Darwinian evolution. University of California Press eBooks.11 indexed citations
7.
Cam, Lucien M. Le, Jerzy Neyman, & Eugenie C. Scott. (1972). Proceedings of the Berkeley Symposium on Mathematical Statistics and Probability (6th) Held at the Statistical Laboratory, University of California on April 9-12, 1971. Volume V: Darwinan, Neo-Darwinian, and Non-Darwinian Evolution,. Defense Technical Information Center (DTIC).
8.
Elfving, G & Jerzy Neyman. (1969). A Selection of Early Statistical Papers of J. Neyman. Revue de l Institut International de Statistique / Review of the International Statistical Institute. 37(1). 112–112.6 indexed citations
9.
Cam, Lucien M. Le & Jerzy Neyman. (1967). Biology and problems of health. University of California Press eBooks.17 indexed citations
Bates, Grace E. & Jerzy Neyman. (1952). An optimistic model of the correlation between light and severe accidents. University of California Press eBooks.4 indexed citations
19.
Bates, Grace E. & Jerzy Neyman. (1952). True or false contagion. University of California Press eBooks.3 indexed citations
20.
Neyman, Jerzy. (1951). Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability : held at the Statistical Laboratory, Department of Mathematics, University of California, July 31-August 12, 1950. University of California Press eBooks.49 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.