T. A. Bancroft

3.0k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

T. A. Bancroft is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, T. A. Bancroft has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 6 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in T. A. Bancroft's work include Advanced Statistical Methods and Models (8 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Advanced Statistical Process Monitoring (4 papers). T. A. Bancroft is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Advanced Statistical Process Monitoring (4 papers). T. A. Bancroft collaborates with scholars based in United States, United Kingdom and Canada. T. A. Bancroft's co-authors include R. L. Anderson, Churc̀hill Eisenhart, Chien‐Pai Han, G. C. Ashton, F. N. David, Oscar Kempthorne, Jay L. Lush, William J. Kennedy, John W. Gowen and H. O. Hartley and has published in prestigious journals such as Science, Journal of the American Statistical Association and Econometrica.

In The Last Decade

T. A. Bancroft

43 papers receiving 1.5k citations

Hit Papers

Statistical Theory in Research. 1953 2026 1977 2001 1953 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. Statistical Theory in Research.
    1953 448 citations R. L. Anderson, T. A. Bancroft 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
T. A. Bancroft United States 18 549 178 177 170 155 48 1.8k
M. H. Quenouille United Kingdom 18 483 0.9× 108 0.6× 91 0.5× 215 1.3× 149 1.0× 47 2.2k
O. L. Davies United Kingdom 13 237 0.4× 313 1.8× 112 0.6× 257 1.5× 125 0.8× 28 2.7k
Nariaki Sugiura Japan 13 661 1.2× 116 0.7× 170 1.0× 118 0.7× 116 0.7× 45 2.1k
S. G. Ghurye United States 11 285 0.5× 218 1.2× 93 0.5× 135 0.8× 103 0.7× 23 1.9k
Neil H. Timm United States 13 672 1.2× 86 0.5× 104 0.6× 219 1.3× 131 0.8× 23 1.8k
K. Ruben Gabriel United States 20 309 0.6× 243 1.4× 223 1.3× 131 0.8× 36 0.2× 44 2.2k
Kathleen Kocherlakota Canada 9 398 0.7× 82 0.5× 119 0.7× 124 0.7× 94 0.6× 23 1.5k
B. L. Welch United Kingdom 15 759 1.4× 79 0.4× 82 0.5× 253 1.5× 229 1.5× 21 2.7k
R. R. Hocking United States 26 1.4k 2.6× 168 0.9× 152 0.9× 473 2.8× 382 2.5× 59 3.6k
Emil Spjøtvoll Norway 12 388 0.7× 59 0.3× 76 0.4× 166 1.0× 83 0.5× 28 1.1k

Countries citing papers authored by T. A. Bancroft

Since Specialization
Citations

This map shows the geographic impact of T. A. Bancroft'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 T. A. Bancroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. Bancroft more than expected).

Fields of papers citing papers by T. A. Bancroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. Bancroft. 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 T. A. Bancroft. The network helps show where T. A. Bancroft may publish in the future.

Co-authorship network of co-authors of T. A. Bancroft

This figure shows the co-authorship network connecting the top 25 collaborators of T. A. Bancroft. A scholar is included among the top collaborators of T. A. Bancroft 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 T. A. Bancroft. T. A. Bancroft 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.
Bancroft, T. A. & Chien‐Pai Han. (1983). A Note on Pooling Variances. Journal of the American Statistical Association. 78(384). 981–983. 33 indexed citations
2.
Currie, Iain D., T. A. Bancroft, & Chien‐Pai Han. (1982). Statistical Theory and Inference in Research.. Biometrics. 38(4). 1122–1122. 5 indexed citations
3.
Bancroft, T. A. & David H. Flaherty. (1981). Privacy and Government Data Banks: An International Perspective.. Journal of the American Statistical Association. 76(375). 744–744. 10 indexed citations
4.
Han, Chien‐Pai & T. A. Bancroft. (1978). Estimating regression coefficients tinder conditional specification. Communication in Statistics- Theory and Methods. 7(1). 47–56.
5.
Bancroft, T. A., et al.. (1977). A Pooling Methodology for Regressions in Prediction. Biometrics. 33(1). 57–57. 7 indexed citations
6.
Bancroft, T. A., et al.. (1975). Power of Analysis of Variance Test Procedures for Incompletely Specified Fixed Models. The Annals of Statistics. 3(4). 6 indexed citations
7.
Kennedy, William J. & T. A. Bancroft. (1971). Model Building for Prediction in Regression Based Upon Repeated Significance Tests. The Annals of Mathematical Statistics. 42(4). 1273–1284. 66 indexed citations
8.
Bancroft, T. A.. (1971). On Establishing a University-Wide Statistical Consulting and Cooperative Research Service. The American Statistician. 25(5). 21–24. 12 indexed citations
9.
Kale, B. K. & T. A. Bancroft. (1967). Inference for Some Incompletely Specified Models Involving Normal Approximations to Discrete Data. Biometrics. 23(2). 335–335. 17 indexed citations
10.
Larson, Harold J. & T. A. Bancroft. (1963). Sequential Model Building for Prediction in Regression Analysis, I. The Annals of Mathematical Statistics. 34(2). 462–479. 20 indexed citations
11.
Hemmerle, William J., et al.. (1963). An Application of "Post Stratification" Technique in Local TV Election Predictions. Public Opinion Quarterly. 27(3). 467–467. 1 indexed citations
12.
Bancroft, T. A.. (1960). The Organization of Statistical Instruction in Colleges and Universities. The American Statistician. 14(5). 14–21. 3 indexed citations
13.
Bancroft, T. A., et al.. (1958). The Mathematical Theory of Sampling.. Journal of the American Statistical Association. 53(282). 598–598. 8 indexed citations
14.
Bancroft, T. A.. (1958). From the Standpoint of Colleges. The American Statistician. 12(1). 20–21. 1 indexed citations
15.
Brindley, T. A., et al.. (1957). The Distribution of European Corn Borer Larvae Pyrausta nubilalis (Hbn.), in Field Corn. Biometrics. 13(1). 65–65. 75 indexed citations
16.
Kempthorne, Oscar, T. A. Bancroft, John W. Gowen, & Jay L. Lush. (1955). STATISTICS AND MATHEMATICS IN BIOLOGY. The American Journal of the Medical Sciences. 229(1). 118–118. 117 indexed citations
17.
David, F. N., R. L. Anderson, & T. A. Bancroft. (1954). Statistical Theory in Research.. Biometrika. 41(1/2). 283–283. 8 indexed citations
18.
Bancroft, T. A., et al.. (1954). An Analysis of Woodcock Singing Ground Counts, 1948-1952. Journal of Wildlife Management. 18(2). 259–259. 7 indexed citations
19.
Bancroft, T. A. & Oscar Krisen Buros. (1952). Statistical Methodology Reviews, 1941-1950. Econometrica. 20(2). 349–349.
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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