David Hoffman
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
Papers in
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- Statistical Methods in Clinical Trials 9
- Statistical Methods and Bayesian Inference 2
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- Biosimilars and Bioanalytical Methods 4
- Co-authors
- Robert Kringle (7 shared papers)Ko-Hsin Liang (1 shared paper)Xin Yao (1 shared paper)Charles Newton (1 shared paper)Arup Dey (1 shared paper)Nita Yodo (1 shared paper)Ji Zhang (1 shared paper)Dennis D. Boos (2 shared papers)
- Journals
- Canadian Journal of Political Science (8 papers)Pharmaceutical Statistics (3 papers)Statistics in Medicine (2 papers)Technometrics (1 paper)Pharmaceutical Research (1 paper)
- Partner nations
- United StatesFranceRussia
In The Last Decade
David Hoffman
22 papers receiving 327 citations
Peers
Comparison fields: 5 of 104
- Statistics and Probability 86
- Industrial and Manufacturing Engineering 78
- Statistics, Probability and Uncertainty 40
- Food Science 72
- Analytical Chemistry 33
Countries citing papers authored by David Hoffman
This map shows the geographic impact of David Hoffman'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 David Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hoffman more than expected).
Fields of papers citing papers by David Hoffman
This network shows the impact of papers produced by David Hoffman. 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 David Hoffman. The network helps show where David Hoffman may publish in the future.
Co-authors
The 18 scholars most cited alongside David Hoffman, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 64 | |
| 2 | 2007 | 52 | |
| 3 | 2005 | 48 | |
| 4 | 2019 | 41 | |
| 5 | 2007 | 32 | |
| 6 | 2003 | 30 | |
| 7 | 2009 | 23 | |
| 8 | 2008 | 14 | |
| 9 | 2005 | 13 | |
| 10 | 2010 | 13 | |
| 11 | 2001 | 9 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 1970 | 1 | |
| 15 | 1970 | 1 | |
| 16 | 1969 | 1 | |
| 17 | 1969 | 1 | |
| 18 | 1969 | 1 | |
| 19 | 1970 | 1 | |
| 20 | 1970 | 1 |
About David Hoffman
David Hoffman is a scholar working on Statistics and Probability, Immunology, Physiology, Cardiology and Cardiovascular Medicine and Management Science and Operations Research, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Biosimilars and Bioanalytical Methods (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Statistical Methods and Bayesian Inference (2 papers), Optimal Experimental Design Methods (2 papers), Optimization and Packing Problems (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Statistics and Probability (86 citations), Industrial and Manufacturing Engineering (78 citations), Statistics, Probability and Uncertainty (40 citations), Food Science (72 citations) and Analytical Chemistry (33 citations). David Hoffman has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Robert Kringle, Ko-Hsin Liang, Xin Yao, Charles Newton, Arup Dey, Nita Yodo, Ji Zhang, Dennis D. Boos, Júlia Singer and G. Lockwood. Their work appears in journals such as Canadian Journal of Political Science, Pharmaceutical Statistics, Statistics in Medicine, Technometrics and Pharmaceutical Research.
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.