B. S. Everitt

4.0k total citations · 2 hit papers
23 papers, 2.9k citations indexed

About

B. S. Everitt is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, B. S. Everitt has authored 23 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. Recurrent topics in B. S. Everitt's work include Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Distribution Estimation and Applications (3 papers). B. S. Everitt is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Distribution Estimation and Applications (3 papers). B. S. Everitt collaborates with scholars based in United Kingdom, United States and Poland. B. S. Everitt's co-authors include Joseph L. Fleiss, Jacob Cohen, David J. Hand, Jure Zupan, Norma Faris Hubele, Kwan Lee, Sophia Rabe‐Hesketh, Chantal Mérette, H. Späth and Chris Frith and has published in prestigious journals such as Psychological Bulletin, Technometrics and Biometrics.

In The Last Decade

B. S. Everitt

23 papers receiving 2.7k citations

Hit Papers

Large sample standard errors of kappa and weighted kappa. 1969 2026 1988 2007 1969 1981 400 800 1.2k
What are hit papers?

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.

  1. Large sample standard errors of kappa and weighted kappa.
    1969 1.2k citations Joseph L. Fleiss, Jacob Cohen et al. Psychological Bulletin profile →
  2. Finite Mixture Distributions
    1981 769 citations B. S. Everitt, David J. Hand profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. S. Everitt United Kingdom 17 714 706 529 238 173 23 2.9k
Robert J. Beaver United States 19 1.1k 1.6× 409 0.6× 369 0.7× 462 1.9× 297 1.7× 50 4.4k
Boris Iglewicz United States 23 1.0k 1.4× 384 0.5× 568 1.1× 263 1.1× 228 1.3× 65 4.7k
Gordon V. Kass South Africa 5 465 0.7× 513 0.7× 251 0.5× 211 0.9× 240 1.4× 6 3.1k
Helge Toutenburg Germany 23 1.0k 1.4× 241 0.3× 329 0.6× 229 1.0× 179 1.0× 111 4.6k
M. Knott United Kingdom 17 902 1.3× 721 1.0× 139 0.3× 425 1.8× 265 1.5× 64 6.0k
M. J. R. Healy United Kingdom 27 807 1.1× 289 0.4× 245 0.5× 309 1.3× 167 1.0× 97 5.2k
Karen Kafadar United States 25 915 1.3× 604 0.9× 390 0.7× 255 1.1× 405 2.3× 118 4.4k
F. H. C. Marriott United Kingdom 30 577 0.8× 483 0.7× 135 0.3× 190 0.8× 271 1.6× 88 4.0k
Richard A. Groeneveld United States 14 637 0.9× 245 0.3× 248 0.5× 225 0.9× 203 1.2× 45 2.9k
Norman L. Johnson United States 19 1.4k 2.0× 577 0.8× 559 1.1× 514 2.2× 284 1.6× 55 4.2k

Countries citing papers authored by B. S. Everitt

Since Specialization
Citations

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

Fields of papers citing papers by B. S. Everitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. S. Everitt

This figure shows the co-authorship network connecting the top 25 collaborators of B. S. Everitt. A scholar is included among the top collaborators of B. S. Everitt 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 B. S. Everitt. B. S. Everitt 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.
Der, Geoff & B. S. Everitt. (2009). A Handbook of Statistical Analyses Using SAS [3rd ed.]. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 7 indexed citations
2.
Lee, Kwan, B. S. Everitt, & Sophia Rabe‐Hesketh. (1999). The Analysis of Proximity Data. Technometrics. 41(1). 73–73. 42 indexed citations
3.
Everitt, B. S.. (1996). An introduction to finite mixture distributions. Statistical Methods in Medical Research. 5(2). 107–127. 72 indexed citations
4.
Everitt, B. S., et al.. (1994). Talking About Statistics.. Journal of the Royal Statistical Society Series D (The Statistician). 43(3). 458–458. 3 indexed citations
5.
Everitt, B. S. & Chantal Mérette. (1990). The clustering of mixed-mode data: a comparison of possible approaches. Journal of Applied Statistics. 17(3). 283–297. 23 indexed citations
6.
Everitt, B. S.. (1989). Introduction to Optimization Methods and Their Application in Statistics.. Biometrics. 45(2). 699–699. 14 indexed citations
7.
Everitt, B. S.. (1988). A finite mixture model for the clustering of mixed-mode data. Statistics & Probability Letters. 6(5). 305–309. 72 indexed citations
8.
Everitt, B. S.. (1988). A Monte Carlo Investigation of the Likelihood Ratio Test for Number of Classes in Latent Class Analysis. Multivariate Behavioral Research. 23(4). 531–538. 31 indexed citations
9.
Hand, David J. & B. S. Everitt. (1987). The Statistical Consultant in Action. Cambridge University Press eBooks. 10 indexed citations
10.
Everitt, B. S. & H. Späth. (1985). Cluster Dissection and Analysis: Theory, Fortran Programs and Examples.. Journal of the Royal Statistical Society Series A (General). 148(3). 285–285. 16 indexed citations
11.
Everitt, B. S.. (1984). Maximum Likelihood Estimation of the Parameters in a Mixture of Two Univariate Normal Distributions; A Comparison of Different Algorithms. Journal of the Royal Statistical Society Series D (The Statistician). 33(2). 205–205. 42 indexed citations
12.
Everitt, B. S. & Jure Zupan. (1983). Clustering of Large Data Sets.. Journal of the Royal Statistical Society Series D (The Statistician). 32(3). 355–355. 56 indexed citations
13.
Everitt, B. S.. (1981). Bimodality and the Nature of Depression. The British Journal of Psychiatry. 138(4). 336–339. 35 indexed citations
14.
Everitt, B. S.. (1981). A Monte Carlo Investigation Of The Likelihood Ratio Test For The Number Of Components In A Mixture Of Normal Distributions. Multivariate Behavioral Research. 16(2). 171–180. 77 indexed citations
15.
Everitt, B. S.. (1979). Unresolved Problems in Cluster Analysis. Biometrics. 35(1). 169–169. 249 indexed citations
16.
Everitt, B. S., et al.. (1978). The role of gaze in dialogue. Acta Psychologica. 42(6). 453–475. 18 indexed citations
17.
Everitt, B. S.. (1977). Fundamentals of behavioural statistics. Behaviour Research and Therapy. 15(4). 374–374. 32 indexed citations
18.
Everitt, B. S.. (1972). Problems of Cluster Analysis. The British Journal of Psychiatry. 121(561). 233–234. 3 indexed citations
19.
Fleiss, Joseph L., Jacob Cohen, & B. S. Everitt. (1969). Large sample standard errors of kappa and weighted kappa.. Psychological Bulletin. 72(5). 323–327. 1203 indexed citations breakdown →
20.
Everitt, B. S.. (1968). MOMENTS OF THE STATISTICS KAPPA AND WEIGHTED KAPPA. British Journal of Mathematical and Statistical Psychology. 21(1). 97–103. 119 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.

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