Tim Riffe
Impact in
- Health top 5%
- Health disparities and outcomes
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in ⓘ
- Demography 20
- Insurance, Mortality, Demography, Risk Management 17
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- Global Health Care Issues 12
- Co-authors
- Jeroen Spijker (5 shared papers)Enrique Acosta (5 shared papers)John MacInnes (3 shared papers)Mikko Myrskylä (3 shared papers)Alyson van Raalte (4 shared papers)Héctor Pifarré i Arolas (2 shared papers)Catia Nicodemo (2 shared papers)Guillém López i Casasnovas (2 shared papers)
- Journals
- Demographic Research (6 papers)Scientific Reports (2 papers)BMJ Open (2 papers)Demography (2 papers)International Journal of Epidemiology (2 papers)
- Partner nations
- GermanySpainUnited Kingdom
In The Last Decade
Tim Riffe
30 papers receiving 672 citations
Peers
Comparison fields: 5 of 108
- Health 236
- Modeling and Simulation 116
- Demography 199
- General Health Professions 304
- Health, Toxicology and Mutagenesis 84
Countries citing papers authored by Tim Riffe
This map shows the geographic impact of Tim Riffe'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 Tim Riffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Riffe more than expected).
Fields of papers citing papers by Tim Riffe
This network shows the impact of papers produced by Tim Riffe. 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 Tim Riffe. The network helps show where Tim Riffe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Riffe, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | Population Association of America Annual Meeting | 2014 | 101 |
| 3 | 2015 | 96 | |
| 4 | 2020 | 82 | |
| 5 | 2020 | 51 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2022 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2015 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 4 |
About Tim Riffe
Tim Riffe is a scholar working on Demography, General Health Professions, Health, Management Science and Operations Research and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 692 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (17 papers), Health disparities and outcomes (13 papers), Global Health Care Issues (12 papers), demographic modeling and climate adaptation (4 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 epidemiological studies (3 papers), Climate Change and Health Impacts (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health (236 citations), Modeling and Simulation (116 citations), Demography (199 citations), General Health Professions (304 citations) and Health, Toxicology and Mutagenesis (84 citations). Tim Riffe has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Jeroen Spijker, Enrique Acosta, John MacInnes, Mikko Myrskylä, Alyson van Raalte, Héctor Pifarré i Arolas, Catia Nicodemo, Guillém López i Casasnovas, Adeline Lo and Usama Bilal. Their work appears in journals such as Demographic Research, Scientific Reports, BMJ Open, Demography 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.