Rolf E. Bargmann

1.6k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Rolf E. Bargmann is a scholar working on Statistics and Probability, Food Science and Management Science and Operations Research. According to data from OpenAlex, Rolf E. Bargmann has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 7 papers in Food Science and 3 papers in Management Science and Operations Research. Recurrent topics in Rolf E. Bargmann's work include Advanced Statistical Methods and Models (8 papers), Sensory Analysis and Statistical Methods (6 papers) and Spectroscopy and Chemometric Analyses (3 papers). Rolf E. Bargmann is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Sensory Analysis and Statistical Methods (6 papers) and Spectroscopy and Chemometric Analyses (3 papers). Rolf E. Bargmann collaborates with scholars based in United States and Cyprus. Rolf E. Bargmann's co-authors include M. G. Kendall, R. Darrell Bock, Sasanka Roy, Paul R. Lohnes, Maurice M. Tatsuoka, John J. Powers, Cherng G. Ding, Harry O. Posten, Mark I. Appelbaum and David Godwin and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Nutrition and Biometrika.

In The Last Decade

Rolf E. Bargmann

28 papers receiving 912 citations

Hit Papers

A Course in Multivariate Analysis. 1958 2026 1980 2003 1958 100 200 300 400
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. A Course in Multivariate Analysis.
    1958 433 citations Rolf E. Bargmann et al. Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rolf E. Bargmann United States 11 339 161 125 113 89 28 1.2k
R. Darrell Bock United Kingdom 4 273 0.8× 149 0.9× 69 0.6× 103 0.9× 40 0.4× 4 1.1k
Neil H. Timm United States 13 672 2.0× 219 1.4× 93 0.7× 151 1.3× 86 1.0× 23 1.8k
S. G. Ghurye United States 11 285 0.8× 135 0.8× 45 0.4× 162 1.4× 218 2.4× 23 1.9k
Elliot M. Cramer United States 15 312 0.9× 136 0.8× 99 0.8× 99 0.9× 35 0.4× 40 2.0k
Arnold L. van den Wollenberg Netherlands 8 195 0.6× 203 1.3× 71 0.6× 49 0.4× 50 0.6× 9 902
T. A. Bancroft United States 18 549 1.6× 170 1.1× 83 0.7× 128 1.1× 178 2.0× 48 1.8k
Kathleen Kocherlakota Canada 9 398 1.2× 124 0.8× 82 0.7× 278 2.5× 82 0.9× 23 1.5k
G. N. Wilkinson Australia 10 208 0.6× 182 1.1× 26 0.2× 67 0.6× 159 1.8× 17 1.1k
K. Ruben Gabriel United States 20 309 0.9× 131 0.8× 140 1.1× 145 1.3× 243 2.7× 44 2.2k
A. R. Jonckheere United Kingdom 7 399 1.2× 136 0.8× 44 0.4× 94 0.8× 65 0.7× 11 1.6k

Countries citing papers authored by Rolf E. Bargmann

Since Specialization
Citations

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

Fields of papers citing papers by Rolf E. Bargmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf E. Bargmann

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf E. Bargmann. A scholar is included among the top collaborators of Rolf E. Bargmann 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 Rolf E. Bargmann. Rolf E. Bargmann 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.
Ding, Cherng G. & Rolf E. Bargmann. (1991). Algorithm AS 261: Quantiles of The Distribution of The Square of The Sample Multiple-Correlation Coefficient. Journal of the Royal Statistical Society Series C (Applied Statistics). 40(1). 199–199. 3 indexed citations
2.
Bargmann, Rolf E.. (1989). Discussion of “The Internal Correlation: Its Applications in Statistics and Psychometrics” by G. W. Joe and J. L. Mendoza. Journal of Educational Statistics. 14(3). 227–228. 1 indexed citations
3.
Bargmann, Rolf E., Maurice M. Tatsuoka, & Paul R. Lohnes. (1989). Multivariate Analysis (Techniques for Educational and Psychological Research). Journal of Educational Statistics. 14(1). 110–110. 103 indexed citations
4.
Bargmann, Rolf E., et al.. (1986). COMPONENT AND FACTOR ANALYSIS APPLIED TO DESCRIPTORS FOR TEA SWEETENED WITH SUCROSE AND WITH SACCHARIN. Journal of Sensory Studies. 1(2). 137–148. 2 indexed citations
5.
Bargmann, Rolf E., et al.. (1985). Orthogonal Central Composite Designs of the Third Order in the Evaluation of Sensitivity and Plant Growth Simulation Models. Journal of the American Statistical Association. 80(391). 574–579. 13 indexed citations
6.
Bargmann, Rolf E., et al.. (1985). Orthogonal Central Composite Designs of the Third Order in the Evaluation of Sensitivity and Plant Growth Simulation Models. Journal of the American Statistical Association. 80(391). 574–574. 2 indexed citations
7.
Schuenemeyer, John H. & Rolf E. Bargmann. (1978). Maximum eccentricity as a union-intersection test statistic in multivariate analysis. Journal of Multivariate Analysis. 8(2). 268–273. 5 indexed citations
8.
Godwin, David, Rolf E. Bargmann, & John J. Powers. (1978). USE OF CLUSTER ANALYSIS TO EVALUATE SENSORY‐OBJECTIVE RELATIONS OF PROCESSED GREEN BEANS. Journal of Food Science. 43(4). 1229–1234. 10 indexed citations
9.
Bargmann, Rolf E., et al.. (1977). FACTOR ANALYSIS APPLIED TO WINE DESCRIPTORS. Journal of Food Science. 42(4). 944–952. 18 indexed citations
10.
Bargmann, Rolf E. & Efraim Halfon. (1977). Efficient algorithms for statistical estimation in compartmental analysis: Modelling 60Co kinetics in an aquatic microcosm. Ecological Modelling. 3(3). 211–226. 3 indexed citations
11.
Bargmann, Rolf E.. (1974). On the matrix differentiation of the characteristic roots of matrices. 8(2). 135–144. 2 indexed citations
12.
Bargmann, Rolf E., et al.. (1974). CORRELATIONS BETWEEN SUBJECTIVE AND OBJECTIVE MEASUREMENTS APPLIED TO GRAPE JELLY. Journal of Food Science. 39(4). 794–799. 2 indexed citations
13.
Bargmann, Rolf E., et al.. (1972). Tools of Analysis for Pattern Recognition.. 4 indexed citations
14.
Bargmann, Rolf E., et al.. (1969). AN ALGORITHM FOR IDENTIFYING AND TESTING VIRTUAL CLUSTERS.. 1 indexed citations
15.
Bargmann, Rolf E., et al.. (1967). Matrix Algebra for the Biological Sciences.. Journal of the American Statistical Association. 62(319). 1080–1080. 102 indexed citations
16.
Appelbaum, Mark I. & Rolf E. Bargmann. (1967). A FORTRAN II PROGRAM FOR MUDAID: MULTIVARIATE, UNIVARIATE, AND DISCRIMINANT ANALYSIS OF IRREGULAR DATA,. Medical Entomology and Zoology. 9 indexed citations
17.
Bargmann, Rolf E. & Karl G. Jöreskog. (1965). Statistical Estimation in Factor Analysis, a New Technique and Its Foundations.. Journal of the American Statistical Association. 60(312). 1220–1220. 4 indexed citations
18.
Posten, Harry O. & Rolf E. Bargmann. (1964). Power of the likelihood-ratio test of the general linear hypothesis in multivariate analysis. Biometrika. 51(3-4). 467–480. 12 indexed citations
19.
Bargmann, Rolf E., et al.. (1964). Maximum Likelihood Estimation with Incomplete Multivariate Data. The Annals of Mathematical Statistics. 35(2). 647–657. 60 indexed citations
20.

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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