Tim Riffe

1.6k total citations
33 papers, 692 citations indexed

About

Tim Riffe is a scholar working on Demography, General Health Professions and Health. According to data from OpenAlex, Tim Riffe has authored 33 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Demography, 14 papers in General Health Professions and 13 papers in Health. Recurrent topics in Tim Riffe's work include Insurance, Mortality, Demography, Risk Management (17 papers), Health disparities and outcomes (13 papers) and Global Health Care Issues (12 papers). Tim Riffe is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (17 papers), Health disparities and outcomes (13 papers) and Global Health Care Issues (12 papers). Tim Riffe collaborates with scholars based in Germany, Spain and United Kingdom. Tim Riffe's co-authors include Jeroen Spijker, John MacInnes, Enrique Acosta, Mikko Myrskylä, Alyson van Raalte, Guillém López i Casasnovas, Catia Nicodemo, Adeline Lo, Héctor Pifarré i Arolas and Sergi Trias‐Llimós and has published in prestigious journals such as PLoS ONE, Scientific Reports and Social Science & Medicine.

In The Last Decade

Tim Riffe

30 papers receiving 672 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Riffe Germany 11 304 236 199 119 116 33 692
Ilya Kashnitsky Denmark 12 306 1.0× 221 0.9× 183 0.9× 123 1.0× 151 1.3× 25 795
Theresa Andrasfay United States 12 306 1.0× 256 1.1× 53 0.3× 124 1.0× 105 0.9× 23 719
Jonas Schöley Denmark 8 283 0.9× 170 0.7× 99 0.5× 137 1.2× 89 0.8× 15 517
José Manuel Aburto Denmark 17 758 2.5× 607 2.6× 457 2.3× 161 1.4× 120 1.0× 53 1.3k
Ariel Karlinsky Israel 7 206 0.7× 130 0.6× 36 0.2× 237 2.0× 240 2.1× 9 888
Daisy Maria Xavier de Abreu Brazil 16 400 1.3× 81 0.3× 42 0.2× 99 0.8× 47 0.4× 51 779
Everton Emanuel Campos de Lima Brazil 9 166 0.5× 115 0.5× 79 0.4× 46 0.4× 46 0.4× 35 429
Alicia R. Riley United States 13 250 0.8× 270 1.1× 22 0.1× 168 1.4× 140 1.2× 34 748
Liliana Andriano United Kingdom 7 139 0.5× 128 0.5× 37 0.2× 92 0.8× 337 2.9× 11 715
Siddartha Aradhya Sweden 11 134 0.4× 130 0.6× 25 0.1× 125 1.1× 167 1.4× 30 519

Countries citing papers authored by Tim Riffe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Riffe

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Riffe. A scholar is included among the top collaborators of Tim Riffe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Riffe. Tim Riffe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Camarda, Carlo Giovanni, et al.. (2025). Spatial Trends in Mortality Convergence: The Cases of France, Italy, and Spain, 1975–2019. European Journal of Population / Revue européenne de Démographie. 41(1). 21–21. 1 indexed citations
3.
Muszyńska, Magdalena M., Tim Riffe, & Martin Spielauer. (2024). Healthy Lifespan Statistics Derived From Cross-Sectional Prevalence Data Using the Sullivan Method are Informative Summary Measures of Population Health. Comparative Population Studies. 49. 1 indexed citations
4.
Aburto, José Manuel, et al.. (2023). A global assessment of the impact of violence on lifetime uncertainty. Science Advances. 9(5). eadd9038–eadd9038. 9 indexed citations
5.
Riffe, Tim, et al.. (2023). Decomposition of Differentials in Health Expectancies From Multistate Life Tables: A Research Note. Demography. 60(6). 1675–1688. 3 indexed citations
6.
Alexander, Monica, et al.. (2023). Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation. Demographic Research. 49. 1201–1228. 1 indexed citations
7.
Geldsetzer, Pascal, et al.. (2022). Sex differences in the mortality rate for coronavirus disease 2019 compared to other causes of death: an analysis of population-wide data from 63 countries. European Journal of Epidemiology. 37(8). 797–806. 12 indexed citations
8.
Sudharsanan, Nikkil, José Manuel Aburto, Tim Riffe, & Alyson van Raalte. (2022). Large variation in the epidemiological transition across countries: is it still valuable as a mortality theory?. International Journal of Epidemiology. 51(4). 1057–1061. 8 indexed citations
9.
Arolas, Héctor Pifarré i, Enrique Acosta, Guillém López i Casasnovas, et al.. (2021). Years of life lost to COVID-19 in 81 countries. Scientific Reports. 11(1). 3504–3504. 141 indexed citations
10.
Camarda, Carlo Giovanni, et al.. (2021). La surmortalité des jeunes adultes est-elle naturelle ?. Population & Sociétés. N° 590(6). 1–4.
11.
Riffe, Tim & José Manuel Aburto. (2020). Lexis fields. Demographic Research. 42. 713–726. 1 indexed citations
12.
Schöley, Jonas, et al.. (2020). COVerAGE-DB: A global demographic database of COVID-19 cases, deaths, tests, and vaccines. OSF Preprints (OSF Preprints). 10 indexed citations
13.
Dudel, Christian, Tim Riffe, Enrique Acosta, et al.. (2020). Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: Contributions of age structure and age-specific fatality. PLoS ONE. 15(9). e0238904–e0238904. 82 indexed citations
14.
Trias‐Llimós, Sergi, Tim Riffe, & Usama Bilal. (2020). Monitoring life expectancy levels during the COVID-19 pandemic: Example of the unequal impact of the first wave on Spanish regions. PLoS ONE. 15(11). e0241952–e0241952. 51 indexed citations
15.
Riffe, Tim, et al.. (2019). Changing contribution of area-level deprivation to total variance in age at death: a population-based decomposition analysis. BMJ Open. 9(3). e024952–e024952. 16 indexed citations
16.
Riffe, Tim, et al.. (2019). The increasing lifespan variation gradient by area-level deprivation: A decomposition analysis of Scotland 1981–2011. Social Science & Medicine. 230. 147–157. 32 indexed citations
17.
Aburto, José Manuel, Tim Riffe, & Vladimir Canudas‐Romo. (2018). Trends in avoidable mortality over the life course in Mexico, 1990–2015: a cross-sectional demographic analysis. BMJ Open. 8(7). e022350–e022350. 24 indexed citations
18.
Riffe, Tim. (2015). The force of mortality by life lived is the force of increment by life left in stationary populations. Demographic Research. 32. 827–834. 6 indexed citations
19.
Esteve, Albert, Jeroen Spijker, Tim Riffe, & Joan García Román. (2013). Spousal and parental roles among female student populations in 55 low- and middle-income countries. Vienna Yearbook of Population Research. 10(1). 77–94. 3 indexed citations
20.
Riffe, Tim. (2013). The Two-Sex Problem in Populations Structured by Remaining Years of Life. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 2 indexed citations

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.

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