The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Jerzy Neyman sits on this spectrum.
This scientist: 159 publications — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jerzy Neyman sits on this spectrum.
This scientist: 51 D-Index — 73rd percentile
73% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Jerzy Neyman is affiliated with the University of California, Berkeley in the United States. Their work focuses on foundational aspects of statistics, contributing to the establishment of methods and tests that are widely recognized and utilized within the statistical community.
Throughout their career, Neyman received several notable awards and honors. These include the Samuel S. Wilks Memorial Award from the American Statistical Association (ASA) in 1968, and the US President's National Medal of Science, also awarded in 1968. The citation for the National Medal of Science stated: "For laying the foundations of modern statistics and devising tests and procedure that have become essential parts of the knowledge of every statistician." This medal was presented by President Johnson at a White House ceremony on January 17, 1969.
Additional honors include membership in the National Academy of Sciences, received in 1963, a Fellowship at the John Simon Guggenheim Memorial Foundation awarded in 1957, and Fellowship of the American Association for the Advancement of Science (AAAS) since 1943.
Despite the absence of listed recent papers, frequent co-authors, publication venues, or book publications data, the awards and institutional affiliations indicate a career deeply embedded in the development and dissemination of statistical methods. The recognitions underscore an ongoing impact on the academic and scientific community.
Jerzy Neyman;Egon Sharpe Pearson
J. Neyman;Elizabeth L. Scott
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J. Neyman;E. S. Pearson
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Guy H. Orcutt;Jerzy Neyman
J. Neyman;E. S. Pearson
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Jerzy Neyman;Elizabeth L. Scott
B. W. Lindgren;Jerzy Neyman
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L. M. Le. Cam;J. Neyman;E. L. Scott
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R. G. D. Allen;J. Neyman
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S. S. Wilks;J. Neyman;E. S. Pearson
F. N. David;L. LeCam;J. Neyman;E. L. Scott
Jerzy Neyman;Elizabeth L. Scott
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J. E. Morton;J. Neyman
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