Jutta Gampe
- Aging top 1%
- Ecology, Evolution, Behavior and Systematics top 5%
- Demography top 2%
- Ecology top 10%
- General Health Professions top 10%
- Co-authors
- James W. VaupelDeborah A. RoachUrsula Wittwer‐BackofenAnnette BaudischPaul H.C. EilersAlexander ScheuerleinSilvia RizziCarlo Giovanni Camarda
- Topics
- Insurance, Mortality, Demography, Risk Management (15 papers)Statistical Methods and Inference (10 papers)demographic modeling and climate adaptation (9 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Jutta Gampe
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 131
- Aging 198
- Ecology, Evolution, Behavior and Systematics 193
- Demography 161
- Ecology 151
- General Health Professions 150
Countries citing papers authored by Jutta Gampe
This map shows the geographic impact of Jutta Gampe'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 Jutta Gampe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jutta Gampe more than expected).
Fields of papers citing papers by Jutta Gampe
This network shows the impact of papers produced by Jutta Gampe. 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 Jutta Gampe. The network helps show where Jutta Gampe may publish in the future.
Co-authorship network of co-authors of Jutta Gampe
This figure shows the co-authorship network connecting the top 25 collaborators of Jutta Gampe. A scholar is included among the top collaborators of Jutta Gampe 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 Jutta Gampe. Jutta Gampe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 56 | |
| 7 | 47 | |
| 8 | 46 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | How old was ‘Geriatrix’? Estimating the age of old individuals with Calibrated Expert Inference | 1 |
| 12 | 4 | |
| 13 | 32 | |
| 14 | A Warped Failure Time Model for Human Mortality | 2 |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 88 | |
| 18 | 40 | |
| 19 | 245 | |
| 20 | 154 |
About Jutta Gampe
Jutta Gampe is a scholar working on Aging, Statistics and Probability and Demography, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (15 papers), Statistical Methods and Inference (10 papers) and demographic modeling and climate adaptation (9 papers). The work is most often cited by research in Aging (198 citations), Neuropsychology and Physiological Psychology (30 citations) and Developmental Biology (35 citations). Jutta Gampe has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include James W. Vaupel, Deborah A. Roach, Ursula Wittwer‐Backofen, Annette Baudisch, Paul H.C. Eilers, Alexander Scheuerlein, Silvia Rizzi, Carlo Giovanni Camarda, Jean‐Marie Robine and Gerald Kerth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The American Naturalist.
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.