S. James Press

6.5k total citations · 2 hit papers
78 papers, 4.5k citations indexed

About

S. James Press is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, S. James Press has authored 78 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 7 papers in Finance. Recurrent topics in S. James Press's work include Statistical Distribution Estimation and Applications (14 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Bayesian Inference (13 papers). S. James Press is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Bayesian Inference (13 papers). S. James Press collaborates with scholars based in United States, Canada and Brazil. S. James Press's co-authors include Sandra Jo Wilson, Barry C. Arnold, Marc Nerlove, Leon Jay Gleser, Tom Fearn, Allan R. Sampson, Michael D. Perlman, Pranab Kumar Sen, R. Stockton Gaines and Manuel Morán and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Econometrics.

In The Last Decade

S. James Press

75 papers receiving 3.9k citations

Hit Papers

Choosing between Logistic Regression and Discriminant Ana... 1978 2026 1994 2010 1978 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. James Press United States 27 1.3k 730 708 691 504 78 4.5k
C. L. Mallows United States 34 1.4k 1.0× 2.1k 2.8× 523 0.7× 653 0.9× 634 1.3× 94 6.6k
Robert V. Hogg United States 39 2.4k 1.8× 832 1.1× 361 0.5× 511 0.7× 734 1.5× 124 6.3k
Aa United States 10 1.1k 0.8× 729 1.0× 302 0.4× 609 0.9× 554 1.1× 22 6.8k
Keith Ord United States 21 1.0k 0.8× 659 0.9× 460 0.6× 1.7k 2.5× 718 1.4× 53 5.9k
Edward Greenberg United States 21 1.3k 0.9× 892 1.2× 664 0.9× 1.2k 1.8× 420 0.8× 60 4.7k
R. L. Plackett United Kingdom 36 2.2k 1.6× 943 1.3× 203 0.3× 579 0.8× 930 1.8× 84 7.8k
Ali S. Hadi United States 32 2.1k 1.6× 1.3k 1.8× 463 0.7× 839 1.2× 555 1.1× 99 7.6k
Robert E. McCulloch United States 26 2.2k 1.7× 1.7k 2.4× 493 0.7× 1.1k 1.6× 633 1.3× 63 6.0k
Jeffrey S. Simonoff United States 31 2.1k 1.6× 1.1k 1.5× 287 0.4× 721 1.0× 419 0.8× 125 6.1k
Stephen M. Stigler United States 32 1.7k 1.2× 726 1.0× 232 0.3× 593 0.9× 622 1.2× 153 5.1k

Countries citing papers authored by S. James Press

Since Specialization
Citations

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

Fields of papers citing papers by S. James Press

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. James Press

This figure shows the co-authorship network connecting the top 25 collaborators of S. James Press. A scholar is included among the top collaborators of S. James Press 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 S. James Press. S. James Press 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.
Jampachaisri, Katechan, Lea Valinsky, James Borneman, & S. James Press. (2005). Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses. Computer applications in the biosciences. 21(14). 3122–3130. 9 indexed citations
2.
Press, S. James, et al.. (2004). Confidence Elicitation And Anchoring In The Respondent-Generated Intervals (RGI) Protocol. Journal of Modern Applied Statistical Methods. 3(2). 417–431. 1 indexed citations
3.
Press, S. James. (2004). Respondent-Generated Intervals (RGI) For Recall in Sample Surveys. Journal of Modern Applied Statistical Methods. 3(1). 104–116. 3 indexed citations
4.
Press, S. James & Judith M. Tanur. (2004). An Overview Of The Respondent-Generated Intervals (RGI) Approach To Sample Surveys. Journal of Modern Applied Statistical Methods. 3(2). 288–304. 5 indexed citations
5.
Press, S. James & Judith M. Tanur. (2004). Relating Respondent-Generated Intervals Questionnaire Design to Survey Accuracy and Response Rate. Journal of Official Statistics. 20(2). 265. 3 indexed citations
6.
Press, S. James. (2003). Subjective and objective Bayesian statistics : principles, models, and applications. Wiley-Interscience eBooks. 133 indexed citations
7.
Press, S. James. (2002). Subjective and Objective Bayesian Statistics. Wiley series in probability and statistics. 158 indexed citations
8.
Press, S. James & Judith M. Tanur. (2001). The Subjectivity of Scientists and the Bayesian Approach. Wiley series in probability and statistics. 35 indexed citations
9.
Press, S. James & Kazuo Shigemasu. (1999). A note on choosing the number of factors. Communication in Statistics- Theory and Methods. 28(7). 1653–1670. 10 indexed citations
10.
Lee, Sang Eun & S. James Press. (1998). Robustness of bayesian factor analysis estimates. Communication in Statistics- Theory and Methods. 27(8). 1871–1893. 18 indexed citations
11.
Dagne, Getachew & S. James Press. (1997). Bayesian prediction for small areas using sur models. Communication in Statistics- Theory and Methods. 26(6). 1355–1379. 2 indexed citations
12.
Gleser, Leon Jay, Michael D. Perlman, S. James Press, & Allan R. Sampson. (1994). A brief biography and appreciation of Ingram Olkin. Linear Algebra and its Applications. 199. 1–15. 1 indexed citations
13.
Press, S. James & John E. Rolph. (1986). Empirical bayes estimation of the mean in a multivariate normal distribution. Communication in Statistics- Theory and Methods. 15(7). 2201–2228. 3 indexed citations
14.
Press, S. James. (1978). Qualitative Controlled Feedback for Forming Group Judgments and Making Decisions. Journal of the American Statistical Association. 73(363). 526–535. 21 indexed citations
15.
Press, S. James & A. J. Scott. (1976). Missing Variables in Bayesian Regression, II. Journal of the American Statistical Association. 71(354). 366–369. 11 indexed citations
16.
Press, S. James, et al.. (1974). A Bayesian Approach to Second Guessing “Undecided” Respondents. Journal of the American Statistical Association. 69(345). 58–67. 4 indexed citations
17.
Press, S. James. (1972). Estimation in Univariate and Multivariate Stable Distributions. Journal of the American Statistical Association. 67(340). 842–846. 160 indexed citations
18.
Press, S. James. (1972). Multivariate stable distributions. Journal of Multivariate Analysis. 2(4). 444–462. 69 indexed citations
19.
Press, S. James. (1971). Some Effects of an Increase in Police Manpower in the 20th Precinct of New York City. 37 indexed citations
20.
Olkin, Ingram & S. James Press. (1969). Testing and Estimation for a Circular Stationary Model. The Annals of Mathematical Statistics. 40(4). 1358–1373. 77 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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