T. A. Bancroft

3.0k citations
48 papers · 1.8k indexed · 1 hit paper · h-index 18
Topics
Advanced Statistical Methods and Models (8 papers)Genetics, Bioinformatics, and Biomedical Research (5 papers)Advanced Statistical Process Monitoring (4 papers)

In The Last Decade

T. A. Bancroft

43 papers receiving 1.5k citations

Hit Papers

Statistical Theory in Research.19532026197720011953100200300400

Peers

T. A. Bancroft
Comparison fields: 5 of 194
  • Statistics and Probability 549
  • Plant Science 178
  • Genetics 177
  • Management Science and Operations Research 170
  • Statistics, Probability and Uncertainty 155
Replace M. H. Quenouille with:
M. H. Quenouille United Kingdom
Nariaki Sugiura Japan
S. G. Ghurye United States
G. K. Robinson Australia
Walter T. Fédérer United States
Ib M. Skovgaard Denmark
O. L. Davies United Kingdom
Joseph Berkson United States
David M. Giltinan United States
G. H. Jowett United Kingdom
T. A. Bancroft relative to M. H. Quenouille United Kingdom M. H. Quenouille's profile →
Citations per field
00.5×1.5×1.9×
M. H. Quenouille · 1×
Citations per year

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
#WorkIndexed citations
1 33
2 5
3 10
4 0
5 7
6 6
7 66
8 12
9 17
10 20
11 1
12 3
13 8
14 1
15 75
16 117
17 8
18 7
19 0
20 2

About T. A. Bancroft

T. A. Bancroft is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Music, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (549 citations), Statistics, Probability and Uncertainty (155 citations) and Analytical Chemistry (143 citations). T. A. Bancroft has collaborated with scholars based in United States, United Kingdom and Canada. Frequent 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. Their work appears in journals such as Science, Journal of the American Statistical Association and Econometrica.

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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