Daniel A. Henderson
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Hardware and Architecture top 10%
Papers in
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- Bayesian Methods and Mixture Models 9
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 3
- Statistical Distribution Estimation and Applications 2
- Markov Chains and Monte Carlo Methods 2
- Co-authors
- Richard J. Boys (5 shared papers)Darren J. Wilkinson (5 shared papers)Peter Avery (2 shared papers)M. C. Jones (2 shared papers)P. N. Sanda (3 shared papers)Michael S. Floyd (3 shared papers)R. J. Boys (3 shared papers)Kim J. Krishnan (1 shared paper)
- Journals
- Journal of the Royal Statistical Society Series C (Applied Statistics) (4 papers)Bayesian Analysis (2 papers)Biometrics (2 papers)IEEE Micro (2 papers)Antiquity (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Daniel A. Henderson
20 papers receiving 422 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 90
- Hardware and Architecture 51
- Statistics, Probability and Uncertainty 37
- Artificial Intelligence 153
- Management Science and Operations Research 33
Countries citing papers authored by Daniel A. Henderson
This map shows the geographic impact of Daniel A. Henderson'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 Daniel A. Henderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Henderson more than expected).
Fields of papers citing papers by Daniel A. Henderson
This network shows the impact of papers produced by Daniel A. Henderson. 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 Daniel A. Henderson. The network helps show where Daniel A. Henderson may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel A. Henderson, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 55 | |
| 2 | 2009 | 52 | |
| 3 | 2008 | 52 | |
| 4 | 2004 | 51 | |
| 5 | F-T D IBM P6 M | 2008 | 41 |
| 6 | 1999 | 32 | |
| 7 | 2007 | 29 | |
| 8 | 2016 | 22 | |
| 9 | 2002 | 18 | |
| 10 | 2009 | 16 | |
| 11 | 1999 | 14 | |
| 12 | 2009 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2005 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2007 | 2 | |
| 19 | Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods | 2015 | 2 |
| 20 | 2024 | 1 |
About Daniel A. Henderson
Daniel A. Henderson is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 21 papers that have together received 436 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (4 papers), Gene Regulatory Network Analysis (4 papers), Statistical Methods and Inference (3 papers), Probabilistic and Robust Engineering Design (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Statistics and Probability (90 citations), Hardware and Architecture (51 citations), Statistics, Probability and Uncertainty (37 citations), Artificial Intelligence (153 citations) and Management Science and Operations Research (33 citations). Daniel A. Henderson has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Richard J. Boys, Darren J. Wilkinson, Peter Avery, M. C. Jones, P. N. Sanda, Michael S. Floyd, R. J. Boys, Kim J. Krishnan, Conor Lawless and Andrew Golightly. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Bayesian Analysis, Biometrics, IEEE Micro and Antiquity.
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.