Michael Haber
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health top 1%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 15
- Health 18
- Vaccine Coverage and Hesitancy 16
- Co-authors
- Ira M. LonginiKeith K. MuraiLei ZhouM. Elizabeth HalloranEviatar NevoA. H. D. BrownDaniel ZoharyAude Panatier
- Journals
- Statistics in Medicine (10 papers)Vaccine (7 papers)American Journal of Epidemiology (6 papers)Psychological Bulletin (4 papers)International Journal of Epidemiology (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael Haber
95 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 569
- Health 511
- Developmental Neuroscience 236
- Neurology 461
- Cellular and Molecular Neuroscience 902
Countries citing papers authored by Michael Haber
This map shows the geographic impact of Michael Haber'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 Michael Haber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Haber more than expected).
Fields of papers citing papers by Michael Haber
This network shows the impact of papers produced by Michael Haber. 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 Michael Haber. The network helps show where Michael Haber may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Haber, 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 | 2020 | 16 | |
| 2 | The New Activist Non-Profits: Four Models Breaking from the Non-Profit Industrial Complex | 2019 | 3 |
| 3 | 2019 | 8 | |
| 4 | 2019 | 2 | |
| 5 | 2017 | 25 | |
| 6 | 2013 | 6 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 34 | |
| 9 | 2007 | 37 | |
| 10 | 2007 | 43 | |
| 11 | 2006 | 51 | |
| 12 | 2005 | 0 | |
| 13 | 2003 | 133 | |
| 14 | 2003 | 145 | |
| 15 | 1997 | 5 | |
| 16 | 1992 | 2 | |
| 17 | 1991 | 2 | |
| 18 | 1987 | 31 | |
| 19 | 1984 | 9 | |
| 20 | 1983 | 5 |
About Michael Haber
Michael Haber is a scholar working on Modeling and Simulation, Health, Statistics and Probability, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 99 papers that have together received 5.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (26 papers), Vaccine Coverage and Hesitancy (16 papers), COVID-19 epidemiological studies (15 papers), Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (11 papers), Reliability and Agreement in Measurement (10 papers), Statistical Methods and Bayesian Inference (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Modeling and Simulation (569 citations), Health (511 citations), Developmental Neuroscience (236 citations), Neurology (461 citations) and Cellular and Molecular Neuroscience (902 citations). Michael Haber has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ira M. Longini, Keith K. Murai, Lei Zhou, M. Elizabeth Halloran, Eviatar Nevo, A. H. D. Brown, Daniel Zohary, Aude Panatier, Jean‐Claude Lacaille and Joanne Vallée. Their work appears in journals such as Statistics in Medicine, Vaccine, American Journal of Epidemiology, Psychological Bulletin and International Journal of 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.