Max Planck Institute for Demographic Research
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Demography top 0.5%
- Family Dynamics and Relationships
- Insurance, Mortality, Demography, Risk Management
Papers in
- Aging 123
- Genetics, Aging, and Longevity in Model Organisms 123
- Demography 722
- Insurance, Mortality, Demography, Risk Management 397
- Family Dynamics and Relationships 269
- Top scholars
- James W. VaupelKaare ChristensenGabriele DoblhammerMichaela KreyenfeldVladimir M. ShkolnikovJim OeppenMikko MyrskyläHans‐Peter Kohler
- Journals
- Demographic Research (196 papers)Demography (79 papers)PLoS ONE (59 papers)European Journal of Population / Revue européenne de Démographie (53 papers)Population Studies (52 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Max Planck Institute for Demographic Research
1.8k papers receiving 64.4k citations
Peers
Comparison fields: 5 of 236
- Aging 5.7k
- Demography 20.5k
- Health 10.3k
- Gender Studies 9.4k
- Neuropsychology and Physiological Psychology 1.1k
Countries citing scholars working at Max Planck Institute for Demographic Research
This map shows the geographic impact of research produced by authors working at Max Planck Institute for Demographic 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 papers produced at Max Planck Institute for Demographic Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Planck Institute for Demographic Research more than expected).
Fields of papers published by authors at Max Planck Institute for Demographic Research
This network shows the impact of papers affiliated with Max Planck Institute for Demographic Research at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Max Planck Institute for Demographic Research at the time of their publication.
About Max Planck Institute for Demographic Research
In recent decades, authors affiliated with Max Planck Institute for Demographic Research have published 2.2k papers, which have received a total of 77.7k indexed citations . Scholars at this organization have produced 123 papers in Aging, 722 papers in Demography, 397 papers in Health, 278 papers in Gender Studies and 553 papers in General Health Professions on the topics of Global Health Care Issues (410 papers), Insurance, Mortality, Demography, Risk Management (397 papers), Health disparities and outcomes (386 papers), Family Dynamics and Relationships (269 papers), Intergenerational Family Dynamics and Caregiving (193 papers), Demographic Trends and Gender Preferences (184 papers), Genetics, Aging, and Longevity in Model Organisms (123 papers) and Birth, Development, and Health (117 papers). Their work is cited by papers focused on Aging (5.7k citations), Demography (20.5k citations), Health (10.3k citations), Gender Studies (9.4k citations) and Neuropsychology and Physiological Psychology (1.1k citations). Authors at Max Planck Institute for Demographic Research collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Demographic Research, Demography, PLoS ONE, European Journal of Population / Revue européenne de Démographie and Population Studies. Some of Max Planck Institute for Demographic Research's most productive authors include James W. Vaupel, Kaare Christensen, Gabriele Doblhammer, Michaela Kreyenfeld, Vladimir M. Shkolnikov, Jim Oeppen, Mikko Myrskylä, Hans‐Peter Kohler, Roland Rau and Roberto Salguero‐Gómez.
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.