Lee D. Kaiser
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods in Clinical Trials 9
- Statistical Methods and Inference 2
- Statistical Methods and Bayesian Inference 1
- Co-authors
- J. N. S. MatthewsMoray J. CampbellJane FridlyandDavid C. BowdenGwen FyfeGeorge A. F. SeberBernard M. FineJohn M. Opitz
- Journals
- Statistics in Medicine (4 papers)Drug Information Journal (3 papers)Theriogenology (1 paper)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesCyprusUnited Kingdom
In The Last Decade
Lee D. Kaiser
17 papers receiving 350 citations
Peers
Comparison fields: 5 of 121
- Statistics and Probability 83
- Space and Planetary Science 7
- Insect Science 42
- Environmental Engineering 48
- Nature and Landscape Conservation 40
Countries citing papers authored by Lee D. Kaiser
This map shows the geographic impact of Lee D. Kaiser'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 Lee D. Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee D. Kaiser more than expected).
Fields of papers citing papers by Lee D. Kaiser
This network shows the impact of papers produced by Lee D. Kaiser. 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 Lee D. Kaiser. The network helps show where Lee D. Kaiser may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Lee D. Kaiser, 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 | 2012 | 16 | |
| 2 | 2012 | 11 | |
| 3 | 2012 | 9 | |
| 4 | 2012 | 2 | |
| 5 | 2012 | 4 | |
| 6 | 2011 | 12 | |
| 7 | 2011 | 4 | |
| 8 | 2010 | 13 | |
| 9 | 2008 | 3 | |
| 10 | 1992 | 86 | |
| 11 | 1989 | 104 | |
| 12 | 1988 | 3 | |
| 13 | 1985 | 3 | |
| 14 | 1983 | 8 | |
| 15 | 1983 | 107 | |
| 16 | 1983 | 5 | |
| 17 | 1978 | 3 |
About Lee D. Kaiser
Lee D. Kaiser is a scholar working on Statistics and Probability, Modeling and Simulation, Economics and Econometrics, Management Science and Operations Research and Cancer Research, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Computational Drug Discovery Methods (2 papers), Statistical Methods and Inference (2 papers), Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Statistics and Probability (83 citations), Space and Planetary Science (7 citations), Insect Science (42 citations), Environmental Engineering (48 citations) and Nature and Landscape Conservation (40 citations). Lee D. Kaiser has collaborated with scholars based in United States, Cyprus and United Kingdom. Frequent co-authors include J. N. S. Matthews, Moray J. Campbell, Jane Fridlyand, David C. Bowden, Gwen Fyfe, George A. F. Seber, Bernard M. Fine, John M. Opitz, Claus Becker and Francisco J. Samaniego. Their work appears in journals such as Statistics in Medicine, Drug Information Journal, Theriogenology, Journal of Clinical Oncology and Clinical Cancer 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.