Frank Yates
Impact in
- Statistics and Probability top 0.5%
- Survey Sampling and Estimation Techniques
- Probability and Statistical Research
- Statistical Methods and Bayesian Inference
-
- Optimal Experimental Design Methods
Papers in
-
- Probability and Statistical Research 8
- Survey Sampling and Estimation Techniques 7
-
- Optimal Experimental Design Methods 8
- Co-authors
- Sir Ronald A. Fisher (1 shared paper)H. O. Hartley (1 shared paper)P. M. Grundy (1 shared paper)Ronald Aylmer Fisher (6 shared papers)George Q. Daley (4 shared papers)Olaia Naveiras (3 shared papers)Charles Proctor (1 shared paper)Yuan Wang (2 shared papers)
- Journals
- Biometrics (8 papers)Blood (3 papers)Biometrika (3 papers)Nature (3 papers)Journal of the American Statistical Association (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Frank Yates
64 papers receiving 2.6k citations
Frank Yates's Hit Papers
Peers
Comparison fields: 5 of 166
- Statistics and Probability 533
- Management Science and Operations Research 180
- Hematology 141
- Genetics 176
- Molecular Biology 260
Countries citing papers authored by Frank Yates
This map shows the geographic impact of Frank Yates'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 Frank Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Yates more than expected).
Fields of papers citing papers by Frank Yates
This network shows the impact of papers produced by Frank Yates. 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 Frank Yates. The network helps show where Frank Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Yates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistical Tables for Biological, Agricultural and Medical Research Hit paper breakdown → | 1956 | 486 |
| 2 | Design and Analysis of Factorial Experiments | 1958 | 304 |
| 3 | 1953 | 284 | |
| 4 | 1984 | 256 | |
| 5 | 1990 | 169 | |
| 6 | 2005 | 167 | |
| 7 | 1951 | 98 | |
| 8 | 2012 | 98 | |
| 9 | 2009 | 93 | |
| 10 | 1982 | 82 | |
| 11 | 1964 | 81 | |
| 12 | 1963 | 79 | |
| 13 | 1953 | 73 | |
| 14 | 2002 | 66 | |
| 15 | 2005 | 61 | |
| 16 | 1954 | 56 | |
| 17 | 1961 | 48 | |
| 18 | 2022 | 44 | |
| 19 | 2001 | 38 | |
| 20 | 2006 | 32 |
About Frank Yates
Frank Yates is a scholar working on Statistics and Probability, Management Science and Operations Research, Soil Science, History and Molecular Biology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Probability and Statistical Research (8 papers), Optimal Experimental Design Methods (8 papers), Pluripotent Stem Cells Research (7 papers), Survey Sampling and Estimation Techniques (7 papers), Agricultural Science and Fertilization (4 papers), Biographical and Historical Analysis (3 papers), Virus-based gene therapy research (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Statistics and Probability (533 citations), Management Science and Operations Research (180 citations), Hematology (141 citations), Genetics (176 citations) and Molecular Biology (260 citations). Frank Yates has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Sir Ronald A. Fisher, H. O. Hartley, P. M. Grundy, Ronald Aylmer Fisher, George Q. Daley, Olaia Naveiras, Charles Proctor, Yuan Wang, Patricia Ernst and Kenneth Mather. Their work appears in journals such as Biometrics, Blood, Biometrika, Nature and Journal of the American Statistical Association.
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.