David Manheim
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
-
- COVID-19 epidemiological studies 6
- Co-authors
- Jasmina Panovska‐Griffiths (4 shared papers)William Waites (4 shared papers)Patrick Johnston (1 shared paper)Tim Colbourn (1 shared paper)Simone Sturniolo (1 shared paper)Virginia Schmit (4 shared papers)Witold Więcek (3 shared papers)Angela O’Mahony (2 shared papers)
- Journals
- Health Security (3 papers)Clinical Infectious Diseases (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Journal of Theoretical Biology (1 paper)Futures (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
David Manheim
38 papers receiving 268 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 69
- Infectious Diseases 71
- Health 26
- Information Systems 44
- Economics and Econometrics 45
Countries citing papers authored by David Manheim
This map shows the geographic impact of David Manheim'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 Manheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Manheim more than expected).
Fields of papers citing papers by David Manheim
This network shows the impact of papers produced by David Manheim. 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 Manheim. The network helps show where David Manheim may publish in the future.
Co-authors
The 25 scholars most cited alongside David Manheim, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2019 | 24 | |
| 3 | 2022 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2013 | 17 | |
| 6 | 2016 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2006 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About David Manheim
David Manheim is a scholar working on Infectious Diseases, Modeling and Simulation, Artificial Intelligence, Economics and Econometrics and Molecular Biology, having authored 39 papers that have together received 288 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Bayesian Modeling and Causal Inference (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Vaccine Coverage and Hesitancy (2 papers), Bacillus and Francisella bacterial research (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Modeling and Simulation (69 citations), Infectious Diseases (71 citations), Health (26 citations), Information Systems (44 citations) and Economics and Econometrics (45 citations). David Manheim has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Jasmina Panovska‐Griffiths, William Waites, Patrick Johnston, Tim Colbourn, Simone Sturniolo, Virginia Schmit, Witold Więcek, Angela O’Mahony, David Denkenberger and Paul K Davis. Their work appears in journals such as Health Security, Clinical Infectious Diseases, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Theoretical Biology and Futures.
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.