Jim Oeppen

3.8k total citations · 1 hit paper
24 papers, 2.3k citations indexed

About

Jim Oeppen is a scholar working on Demography, General Health Professions and Health. According to data from OpenAlex, Jim Oeppen has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Demography, 9 papers in General Health Professions and 7 papers in Health. Recurrent topics in Jim Oeppen's work include Insurance, Mortality, Demography, Risk Management (10 papers), Global Health Care Issues (9 papers) and Health disparities and outcomes (7 papers). Jim Oeppen is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (10 papers), Global Health Care Issues (9 papers) and Health disparities and outcomes (7 papers). Jim Oeppen collaborates with scholars based in Denmark, United Kingdom and Germany. Jim Oeppen's co-authors include James W. Vaupel, Gabriele Doblhammer, Ronald Lee, T. H. Hollingsworth, E. A. Wrigley, Roger Schofield, Chris Wilson, Michael Chisholm, Anatoli I. Yashin and Alexander Begun and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Jim Oeppen

23 papers receiving 2.1k citations

Hit Papers

Broken Limits to Life Expectancy 2002 2026 2010 2018 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Oeppen Denmark 14 1.1k 1.0k 660 363 255 24 2.3k
Natalia S. Gavrilova United States 28 930 0.9× 783 0.8× 577 0.9× 116 0.3× 711 2.8× 91 2.9k
Frans van Poppel Netherlands 29 815 0.8× 526 0.5× 594 0.9× 390 1.1× 41 0.2× 131 2.5k
Vladimir Canudas‐Romo Australia 27 1.0k 0.9× 1.1k 1.1× 902 1.4× 200 0.6× 28 0.1× 96 2.2k
Mikko Myrskylä Germany 36 1.4k 1.3× 1.1k 1.1× 923 1.4× 259 0.7× 31 0.1× 152 4.0k
Rune Lindahl‐Jacobsen Denmark 29 275 0.3× 467 0.5× 445 0.7× 117 0.3× 138 0.5× 89 2.5k
Jacques Véron France 11 690 0.6× 749 0.7× 513 0.8× 186 0.5× 18 0.1× 69 1.8k
Michel Poulain Belgium 20 294 0.3× 215 0.2× 288 0.4× 64 0.2× 200 0.8× 108 1.3k
Graziella Caselli Italy 15 394 0.4× 389 0.4× 276 0.4× 49 0.1× 101 0.4× 55 833
Isaac Sasson United States 22 282 0.3× 559 0.5× 601 0.9× 72 0.2× 31 0.1× 37 2.6k
Denny Vågerö Sweden 40 254 0.2× 1.4k 1.4× 1.4k 2.1× 182 0.5× 32 0.1× 87 4.2k

Countries citing papers authored by Jim Oeppen

Since Specialization
Citations

This map shows the geographic impact of Jim Oeppen'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 Jim Oeppen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Oeppen more than expected).

Fields of papers citing papers by Jim Oeppen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Oeppen. 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 Jim Oeppen. The network helps show where Jim Oeppen may publish in the future.

Co-authorship network of co-authors of Jim Oeppen

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Oeppen. A scholar is included among the top collaborators of Jim Oeppen 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 Jim Oeppen. Jim Oeppen 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.
Bergeron-Boucher, Marie-Pier, et al.. (2025). Modeling and Forecasting Healthy Life Expectancy With Compositional Data Analysis. Demography. 62(3). 787–810.
2.
Bergeron-Boucher, Marie-Pier, et al.. (2024). Inequalities in lifespan and mortality risk in the US, 2015–2019: a cross-sectional analysis of subpopulations by social determinants of health. BMJ Open. 14(6). e079534–e079534. 1 indexed citations
3.
Alter, George, et al.. (2020). Re-introducing the Cambridge Group Family Reconstitutions. SHILAP Revista de lepidopterología. 9. 24–48. 4 indexed citations
4.
Kjærgaard, Søren, et al.. (2020). Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis. Journal of the Royal Statistical Society Series A (Statistics in Society). 183(3). 1167–1187. 1 indexed citations
5.
Bergeron-Boucher, Marie-Pier, Jim Oeppen, Niels V. Holm, et al.. (2019). Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions. International Journal of Environmental Research and Public Health. 16(17). 3093–3093. 4 indexed citations
6.
Kjærgaard, Søren, et al.. (2019). Forecasting Causes of Death by Using Compositional Data Analysis: The Case of Cancer Deaths. Journal of the Royal Statistical Society Series C (Applied Statistics). 68(5). 1351–1370. 21 indexed citations
7.
Lindahl‐Jacobsen, Rune, Jim Oeppen, Silvia Rizzi, et al.. (2016). Why did Danish women’s life expectancy stagnate? The influence of interwar generations’ smoking behaviour. European Journal of Epidemiology. 31(12). 1207–1211. 15 indexed citations
8.
Chisholm, Michael & Jim Oeppen. (2016). The Changing Pattern of Employment. 1 indexed citations
9.
Kühn, Michael, Stefan Wrzaczek, & Jim Oeppen. (2009). Recognizing progeny in the value of life. Economics Letters. 107(1). 17–21. 7 indexed citations
10.
Oeppen, Jim. (2008). Coherent forecasting of multiple-decrement life tables: a test using Japanese cause of death data. Universitat de Girona Digital Repository (Universitat de Girona). 25 indexed citations
11.
Brakefield, Paul M., David Gems, Tim Cowen, et al.. (2004). What are the effects of maternal and pre-adult environments on ageing in humans, and are there lessons from animal models?. Mechanisms of Ageing and Development. 126(3). 431–438. 39 indexed citations
12.
Doblhammer, Gabriele & Jim Oeppen. (2003). Reproduction and longevity among the British peerage: the effect of frailty and health selection. Proceedings of the Royal Society B Biological Sciences. 270(1524). 1541–1547. 109 indexed citations
13.
Yashin, Anatoli I., et al.. (2002). New age patterns of survival improvement in Sweden: do they characterize changes in individual aging?. Mechanisms of Ageing and Development. 123(6). 637–647. 43 indexed citations
14.
Oeppen, Jim & James W. Vaupel. (2002). Broken Limits to Life Expectancy. Science. 296(5570). 1029–1031. 1701 indexed citations breakdown →
15.
Oeppen, Jim, et al.. (2001). Patterns of morbidity in late medieval England: a sample from Westminster Abbey. The Economic History Review. 54(2). 215–239. 6 indexed citations
16.
Bengtsson, Tommy & Jim Oeppen. (1993). A reconstruction of the population of Scania 1650-1760.. Lund University Publications (Lund University). 7 indexed citations
17.
Oeppen, Jim. (1993). Back Projection and Inverse Projection: Members of a Wider Class of Constrained Projection Models. Population Studies. 47(2). 245–267. 34 indexed citations
18.
Wilson, Chris, et al.. (1988). What Is Natural Fertility? The Modelling of a Concept. PubMed. 54(1). 4–4. 56 indexed citations
19.
Johnson, James H., et al.. (1975). Housing and the Migration of Labour in England and Wales. Geographical Journal. 141(2). 285–285. 30 indexed citations
20.
Chisholm, Michael & Jim Oeppen. (1973). The Changing Pattern of Employment: Regional Specialisation and Industrial Localisation in Britain. 12 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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