David G. Kleinbaum
Impact in
- Medical Laboratory Technology top 0.1%
- Occupational health in dentistry
- Health top 0.2%
- Health disparities and outcomes
Papers in
-
- Statistical Methods and Bayesian Inference 7
- Statistical Methods and Inference 6
- Co-authors
- Lawrence L. KupperKeith E. MullerEsteban WalkerHal MorgensternMitchel KleinSteve SelvinLawrence S. MayerHelen T. Bhattacharyya
- Journals
- American Journal of Public Health (6 papers)Journal of the American Statistical Association (5 papers)International Journal of Epidemiology (4 papers)The American Statistician (4 papers)Infection Control and Hospital Epidemiology (4 papers)
- Partner nations
- United StatesAustraliaBangladesh
In The Last Decade
David G. Kleinbaum
126 papers receiving 23.8k citations
Hit Papers
Peers
Comparison fields: 5 of 239
- Medical Laboratory Technology 471
- Health 1.5k
- Statistics and Probability 1.1k
- General Health Professions 2.8k
- Public Health, Environmental and Occupational Health 2.6k
Countries citing papers authored by David G. Kleinbaum
This map shows the geographic impact of David G. Kleinbaum'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 G. Kleinbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Kleinbaum more than expected).
Fields of papers citing papers by David G. Kleinbaum
This network shows the impact of papers produced by David G. Kleinbaum. 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 G. Kleinbaum. The network helps show where David G. Kleinbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside David G. Kleinbaum, 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 | 2019 | 30 | |
| 2 | 2017 | 14 | |
| 3 | 2016 | 4 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 9 | |
| 9 | 2012 | 16 | |
| 10 | 2010 | 56 | |
| 11 | 2008 | 18 | |
| 12 | 2008 | 71 | |
| 13 | 2006 | 35 | |
| 14 | 2005 | 174 | |
| 15 | 2005 | 90 | |
| 16 | 2005 | 151 | |
| 17 | 1998 | 39 | |
| 18 | 1994 | 29 | |
| 19 | 1989 | 99 | |
| 20 | 1973 | 76 |
About David G. Kleinbaum
David G. Kleinbaum is a scholar working on Applied Microbiology and Biotechnology, Statistics and Probability, Medical Laboratory Technology, General Health Professions and Health, having authored 128 papers that have together received 25.4k indexed citations. Recurring topics across this work include Child Nutrition and Water Access (8 papers), Obesity, Physical Activity, Diet (7 papers), Global Maternal and Child Health (7 papers), Statistical Methods and Bayesian Inference (7 papers), Breastfeeding Practices and Influences (6 papers), Statistical Methods and Inference (6 papers), Adolescent Sexual and Reproductive Health (5 papers) and Primary Care and Health Outcomes (5 papers). The work is most often cited by research in Medical Laboratory Technology (471 citations), Health (1.5k citations), Statistics and Probability (1.1k citations), General Health Professions (2.8k citations) and Public Health, Environmental and Occupational Health (2.6k citations). David G. Kleinbaum has collaborated with scholars based in United States, Australia and Bangladesh. Frequent co-authors include Lawrence L. Kupper, Keith E. Muller, Esteban Walker, Hal Morgenstern, Mitchel Klein, Steve Selvin, Lawrence S. Mayer, Helen T. Bhattacharyya, S J Pocock and L L Kupper. Their work appears in journals such as American Journal of Public Health, Journal of the American Statistical Association, International Journal of Epidemiology, The American Statistician and Infection Control and Hospital Epidemiology.
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.