Daniel J. Klein
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
Papers in
-
- HIV/AIDS Research and Interventions 11
- SARS-CoV-2 and COVID-19 Research 3
-
- COVID-19 epidemiological studies 14
- Co-authors
- Anna Bershteyn (12 shared papers)Robyn M. Stuart (11 shared papers)Cliff C. Kerr (13 shared papers)Philip A. Eckhoff (7 shared papers)Dina Mistry (6 shared papers)Jasmina Panovska‐Griffiths (5 shared papers)Chris Bonell (3 shared papers)Russell Viner (3 shared papers)
- Journals
- PLoS ONE (4 papers)The Lancet Global Health (3 papers)International Health (2 papers)AIDS (2 papers)The Medical Journal of Australia (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel J. Klein
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 340
- Infectious Diseases 685
- Virology 119
- Epidemiology 453
- General Health Professions 230
Countries citing papers authored by Daniel J. Klein
This map shows the geographic impact of Daniel J. Klein'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 J. Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Klein more than expected).
Fields of papers citing papers by Daniel J. Klein
This network shows the impact of papers produced by Daniel J. Klein. 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 J. Klein. The network helps show where Daniel J. Klein may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Klein, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 272 | |
| 2 | 2020 | 211 | |
| 3 | 2021 | 73 | |
| 4 | 2015 | 72 | |
| 5 | 2017 | 52 | |
| 6 | 2020 | 48 | |
| 7 | 2015 | 40 | |
| 8 | 2013 | 38 | |
| 9 | 2014 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2018 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2014 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2018 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2017 | 10 |
About Daniel J. Klein
Daniel J. Klein is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, General Health Professions and Management Science and Operations Research, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), HIV/AIDS Research and Interventions (11 papers), Adolescent Sexual and Reproductive Health (8 papers), HIV, Drug Use, Sexual Risk (8 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Statistical Methods and Bayesian Inference (2 papers), HIV/AIDS Impact and Responses (2 papers) and demographic modeling and climate adaptation (2 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Infectious Diseases (685 citations), Virology (119 citations), Epidemiology (453 citations) and General Health Professions (230 citations). Daniel J. Klein has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anna Bershteyn, Robyn M. Stuart, Cliff C. Kerr, Philip A. Eckhoff, Dina Mistry, Jasmina Panovska‐Griffiths, Chris Bonell, Russell Viner, Till Bärnighausen and Timothy B. Hallett. Their work appears in journals such as PLoS ONE, The Lancet Global Health, International Health, AIDS and The Medical Journal of Australia.
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.