Marcus C. Christiansen
- Demography top 2%
- Economics and Econometrics top 5%
- General Health Professions top 10%
- Management Science and Operations Research top 5%
- Finance top 10%
- Co-authors
- Michel DenuitMogens SteffensenGabriele NagelAndrea JaenschUlrich KeilJochen KlenkNicola LoperfidoJan Dhaene
- Topics
- Insurance, Mortality, Demography, Risk Management (37 papers)Insurance and Financial Risk Management (21 papers)Global Health Care Issues (16 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Marcus C. Christiansen
44 papers receiving 335 citations
Peers
Comparison fields: 5 of 76
- Demography 242
- Economics and Econometrics 169
- General Health Professions 143
- Management Science and Operations Research 93
- Finance 64
Countries citing papers authored by Marcus C. Christiansen
This map shows the geographic impact of Marcus C. Christiansen'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 Marcus C. Christiansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus C. Christiansen more than expected).
Fields of papers citing papers by Marcus C. Christiansen
This network shows the impact of papers produced by Marcus C. Christiansen. 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 Marcus C. Christiansen. The network helps show where Marcus C. Christiansen may publish in the future.
Co-authorship network of co-authors of Marcus C. Christiansen
This figure shows the co-authorship network connecting the top 25 collaborators of Marcus C. Christiansen. A scholar is included among the top collaborators of Marcus C. Christiansen 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 Marcus C. Christiansen. Marcus C. Christiansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 66 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | An Evolutionary Credibility Model of Lee-Carter Type for Mortality Improvement Rates | 1 |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 2 |
About Marcus C. Christiansen
Marcus C. Christiansen is a scholar working on Demography, Economics and Econometrics and Finance, having authored 44 papers that have together received 354 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (37 papers), Insurance and Financial Risk Management (21 papers) and Global Health Care Issues (16 papers). The work is most often cited by research in Demography (242 citations), Management Science and Operations Research (93 citations) and Finance (64 citations). Marcus C. Christiansen has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Michel Denuit, Mogens Steffensen, Gabriele Nagel, Andrea Jaensch, Ulrich Keil, Jochen Klenk, Nicola Loperfido, Jan Dhaene, Martin Eling and Daniel J. Bauer. Their work appears in journals such as Management Science, Computational Statistics & Data Analysis and Journal of Applied Probability.
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.