Tim Riffe
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Demography top 1%
- Insurance, Mortality, Demography, Risk Management
- Family Dynamics and Relationships
Papers in
- Demography 16
- Insurance, Mortality, Demography, Risk Management 14
- Family Dynamics and Relationships 2
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- COVID-19 epidemiological studies 7
- Co-authors
- Enrique Acosta (4 shared papers)Mikko Myrskylä (2 shared papers)Jeroen Spijker (4 shared papers)John MacInnes (3 shared papers)Alyson van Raalte (5 shared papers)Sergi Trias‐Llimós (4 shared papers)Héctor Pifarré i Arolas (1 shared paper)Adeline Lo (1 shared paper)
- Journals
- Demographic Research (5 papers)Demography (3 papers)International Journal of Epidemiology (3 papers)BMJ Open (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Tim Riffe
32 papers receiving 869 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 171
- Demography 203
- Health 57
- Aging 3
- Infectious Diseases 35
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2015 | 116 | |
| 3 | Population Association of America Annual Meeting | 2014 | 105 |
| 4 | 2020 | 99 | |
| 5 | 2021 | 70 | |
| 6 | 2020 | 59 | |
| 7 | 2018 | 48 | |
| 8 | 2019 | 38 | |
| 9 | 2018 | 29 | |
| 10 | 2019 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2022 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2016 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 5 |
About Tim Riffe
Tim Riffe is a scholar working on Demography, Modeling and Simulation, Health, General Health Professions and Sociology and Political Science, having authored 37 papers that have together received 890 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (14 papers), COVID-19 epidemiological studies (7 papers), Health disparities and outcomes (3 papers), Family Dynamics and Relationships (2 papers), Health and Conflict Studies (1 paper) and Migration, Refugees, and Integration (1 paper). The work is most often cited by research in Modeling and Simulation (171 citations), Demography (203 citations), Health (57 citations), Aging (3 citations) and Infectious Diseases (35 citations). Tim Riffe has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Enrique Acosta, Mikko Myrskylä, Jeroen Spijker, John MacInnes, Alyson van Raalte, Sergi Trias‐Llimós, Héctor Pifarré i Arolas, Adeline Lo, Guillém López i Casasnovas and Catia Nicodemo. Their work appears in journals such as Demographic Research, Demography, International Journal of Epidemiology, BMJ Open and PLoS ONE.
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.