F. N. David
- Statistics and Probability top 0.1%
- Statistics Education and Methodologies 7
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 4
- General Decision Sciences top 2%
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- Optimal Experimental Design Methods 4
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- Graph theory and applications 5
- Mathematics and Applications 5
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- Bayesian Methods and Mixture Models 4
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- Graph Labeling and Dimension Problems 4
- Co-authors
- John W. TukeyJ. H. TorrieR. G. D. SteelR. J. H. BevertonSidney J. HoltWassily HoeffdingHenry B. MannWilliam G. Madow
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyNature and Landscape Conservation
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
F. N. David
142 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 244
- Statistics and Probability 2.3k
- Statistics, Probability and Uncertainty 780
- Nature and Landscape Conservation 1.1k
- General Decision Sciences 157
- Management Science and Operations Research 986
Countries citing papers authored by F. N. David
This map shows the geographic impact of F. N. David'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 F. N. David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. N. David more than expected).
Fields of papers citing papers by F. N. David
This network shows the impact of papers produced by F. N. David. 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 F. N. David. The network helps show where F. N. David may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. N. David, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 1976 | 2 | |
| 3 | 1973 | 309 | |
| 4 | 1973 | 3 | |
| 5 | 1970 | 11 | |
| 6 | 1967 | 9 | |
| 7 | 1967 | 6 | |
| 8 | 1964 | 9 | |
| 9 | 1963 | 16 | |
| 10 | 1962 | 9 | |
| 11 | 1961 | 1 | |
| 12 | 1960 | 113 | |
| 13 | 1960 | 17 | |
| 14 | 1960 | 30 | |
| 15 | 1959 | 2 | |
| 16 | 1959 | 17 | |
| 17 | 1958 | 22 | |
| 18 | 1957 | 20 | |
| 19 | 1956 | 83 | |
| 20 | 1952 | 96 |
About F. N. David
F. N. David is a scholar working on Statistics and Probability, Geometry and Topology, Theoretical Computer Science, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 152 papers that have together received 19.5k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (7 papers), Graph theory and applications (5 papers), Advanced Statistical Methods and Models (5 papers), Mathematics and Applications (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (4 papers), Graph Labeling and Dimension Problems (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), Statistics, Probability and Uncertainty (780 citations), Nature and Landscape Conservation (1.1k citations), General Decision Sciences (157 citations) and Management Science and Operations Research (986 citations). F. N. David has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include John W. Tukey, J. H. Torrie, R. G. D. Steel, R. J. H. Beverton, Sidney J. Holt, Wassily Hoeffding, Henry B. Mann, William G. Madow, Ingram Olkin and S. G. Ghurye. Their work appears in journals such as Biometrika, Biometrics, Annals of Human Genetics, Journal of the Royal Statistical Society Series B (Statistical Methodology) 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.