E. S. Pearson

18.1k citations
86 papers · 5.5k indexed · 1 hit paper · h-index 34

E. S. Pearson

83 papers receiving 4.7k citations

Hit Papers

Biometrika Tables for Statisticians1.2k19672026198620062505007501000

Peers

E. S. Pearson
Comparison fields: 5 of 224
  • Statistics and Probability 1.7k
  • Statistics, Probability and Uncertainty 680
  • Management Science and Operations Research 576
  • Theoretical Computer Science 37
  • Finance 329
Replace R. L. Plackett with:
R. L. Plackett United Kingdom
Jerzy Neyman United States
Stephen M. Stigler United States
Ronald Aylmer Fisher United Kingdom
A. Hald Denmark
J. Laurie Snell United States
P. A. P. Moran Australia
David G. Kendall United Kingdom
A. Stuart United Kingdom
F. J. Anscombe United States
E. S. Pearson relative to R. L. Plackett United Kingdom R. L. Plackett's profile →
Citations per field
00.5×1.6×
R. L. Plackett · 1×
Citations per year

Countries citing papers authored by E. S. Pearson

Since Specialization
Citations

This map shows the geographic impact of E. S. Pearson'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 E. S. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. S. Pearson more than expected).

Fields of papers citing papers by E. S. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Pearson. 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 E. S. Pearson. The network helps show where E. S. Pearson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside E. S. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. S. Pearson Line = papers co-authored together E. S. Pearson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20172
2 199249
3 199030
4 197943
5
The History of statistics in the 17th and 18th centuries against the changing background of intellectual, scientific, and religious thought : lectures by Karl Pearson given at University College, London, during the academic sessions, 1921-1933
197823
6 1976335
7 19742
8 1973454
9 196913
10 196835
11 19684
12 19688
13 19675
14 19664
15 1964110
16 19568
17 1954228
18 195311
19 1951171
20 19519

About E. S. Pearson

E. S. Pearson is a scholar working on Statistics and Probability, Chemical Health and Safety, History and Philosophy of Science, Applied Mathematics and Numerical Analysis, having authored 86 papers that have together received 5.5k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (10 papers), Probability and Statistical Research (6 papers), Advanced Statistical Methods and Models (5 papers), Philosophy and History of Science (4 papers), Statistical Methods in Clinical Trials (4 papers), Statistical and numerical algorithms (3 papers), Mathematical Approximation and Integration (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Statistics, Probability and Uncertainty (680 citations), Management Science and Operations Research (576 citations), Theoretical Computer Science (37 citations) and Finance (329 citations). E. S. Pearson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include I. Richard Savage, H. O. Hartley, Ralph B. D’Agostino, Ronald Aylmer Fisher, M. G. Kendall, E. C. Fieller, H. A. David, Norman L. Johnson, Karl Pearson and K.O. Bowman. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Mathematics of Computation, Biometrics and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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