H. E. Daniels
- Statistics and Probability top 0.5%
- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 6
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Bayesian Inference 4
-
- Probabilistic and Robust Engineering Design 3
- Finance top 2%
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 7
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
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- Bayesian Methods and Mixture Models 8
- Co-authors
- G. A. YoungT. H. R. SkyrmeL. R. G. TreloarR. N. HawardA.I. BaileyM. G. KendallZafiris J. DaskalakisJordan N. Kohn
- Journals
- Biometrika (12 papers)Advances in Applied Probability (10 papers)Journal of Applied Probability (7 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
H. E. Daniels
49 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Statistics and Probability 902
- Statistics, Probability and Uncertainty 362
- Finance 313
- Mathematical Physics 241
- Modeling and Simulation 81
Countries citing papers authored by H. E. Daniels
This map shows the geographic impact of H. E. Daniels'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 H. E. Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. E. Daniels more than expected).
Fields of papers citing papers by H. E. Daniels
This network shows the impact of papers produced by H. E. Daniels. 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 H. E. Daniels. The network helps show where H. E. Daniels may publish in the future.
Co-authorship network
The 22 scholars most cited alongside H. E. Daniels, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 1990 | 13 | |
| 6 | 1985 | 21 | |
| 7 | 1982 | 2 | |
| 8 | 1980 | 45 | |
| 9 | 1977 | 9 | |
| 10 | 1975 | 19 | |
| 11 | 1971 | 0 | |
| 12 | 1969 | 58 | |
| 13 | The distribution of the total size of an epidemic | 1967 | 44 |
| 14 | 1962 | 11 | |
| 15 | 1962 | 8 | |
| 16 | 1956 | 81 | |
| 17 | 1954 | 1 | |
| 18 | Saddlepoint Approximations in Statisticsbreakdown → | 1954 | 747 |
| 19 | 1952 | 22 | |
| 20 | 1951 | 5 |
About H. E. Daniels
H. E. Daniels is a scholar working on Statistics and Probability, Modeling and Simulation and Theoretical Computer Science, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (7 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (6 papers), Statistical Distribution Estimation and Applications (5 papers), COVID-19 epidemiological studies (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Statistics and Probability (902 citations), Statistics, Probability and Uncertainty (362 citations) and Finance (313 citations). H. E. Daniels has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include G. A. Young, T. H. R. Skyrme, L. R. G. Treloar, R. N. Haward, A.I. Bailey, M. G. Kendall, Zafiris J. Daskalakis, Jordan N. Kohn, Lari M. Koponen and Angel V. Peterchev. Their work appears in journals such as Biometrika, Advances in Applied Probability, Journal of Applied Probability, Journal of the Royal Statistical Society Series B (Statistical Methodology) and JAMA Network Open.
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.