Alan Schumitzky
- Pharmacology top 0.5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Statistics and Probability top 1%
- Molecular Biology
- Co-authors
- David Z. D’ArgenioRoger W. JelliffeMichael NeelyWalter M. YamadaMichael Van GuilderDavid S. BayardBradley M. BellP. Hugh R. Barrett
- Topics
- Statistical Methods in Clinical Trials (19 papers)Statistical Methods and Bayesian Inference (13 papers)Numerical methods in inverse problems (9 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Alan Schumitzky
74 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Pharmacology 1.1k
- Epidemiology 562
- Infectious Diseases 551
- Statistics and Probability 330
- Molecular Biology 323
Countries citing papers authored by Alan Schumitzky
This map shows the geographic impact of Alan Schumitzky'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 Alan Schumitzky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Schumitzky more than expected).
Fields of papers citing papers by Alan Schumitzky
This network shows the impact of papers produced by Alan Schumitzky. 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 Alan Schumitzky. The network helps show where Alan Schumitzky may publish in the future.
Co-authorship network of co-authors of Alan Schumitzky
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Schumitzky. A scholar is included among the top collaborators of Alan Schumitzky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan Schumitzky. Alan Schumitzky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 52 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 40 | |
| 6 | Pharmaco-informatics: more precise drug therapy from 'multiple model' (MM) adaptive control regimens: evaluation with simulated vancomycin therapy. | 4 |
| 7 | 30 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | Radiopharmacokinetics of 5-fluorouracil | 0 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | Bayesian Analysis of Pharmacokinetic Models with Applications to Dosing Regimen Determination | 1 |
| 14 | A Time-Shared Computer Program for Adaptive Control of Lidocaine Therapy Using an Optimal Strategy for Obtaining Serum Concentrations. | 2 |
| 15 | A Package of Time-Shared Computer Programs for Patient Care | 1 |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 59 | |
| 19 | 4 | |
| 20 | 22 |
About Alan Schumitzky
Alan Schumitzky is a scholar working on Statistics and Probability, Numerical Analysis and Mathematical Physics, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Statistical Methods and Bayesian Inference (13 papers) and Numerical methods in inverse problems (9 papers). The work is most often cited by research in Pharmacology (1.1k citations), Molecular Medicine (254 citations) and Applied Microbiology and Biotechnology (88 citations). Alan Schumitzky has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include David Z. D’Argenio, Roger W. Jelliffe, Michael Neely, Walter M. Yamada, Michael Van Guilder, David S. Bayard, Bradley M. Bell, P. Hugh R. Barrett, Hellmut Golde and Paolo Vicini. Their work appears in journals such as PLoS ONE, Biometrics and The Journal of Infectious Diseases.
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.