Ole Marten

445 total citations
13 papers, 180 citations indexed

About

Ole Marten is a scholar working on Economics and Econometrics, General Health Professions and Health. According to data from OpenAlex, Ole Marten has authored 13 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 5 papers in General Health Professions and 4 papers in Health. Recurrent topics in Ole Marten's work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Healthcare Policy and Management (5 papers) and Economic and Environmental Valuation (3 papers). Ole Marten is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (11 papers), Healthcare Policy and Management (5 papers) and Economic and Environmental Valuation (3 papers). Ole Marten collaborates with scholars based in Germany, United Kingdom and Australia. Ole Marten's co-authors include Wolfgang Greiner, Tessa Peasgood, Brendan Mulhern, A Monteiro, Clara Mukuria, A. Simon Pickard, Zhihao Yang, John Brazier, Nan Luo and Maja Kuharić and has published in prestigious journals such as PLoS ONE, Quality of Life Research and Health and Quality of Life Outcomes.

In The Last Decade

Ole Marten

13 papers receiving 180 citations

Peers

Ole Marten
Nan Luo Singapore
Ole Marten
Citations per year, relative to Ole Marten Ole Marten (= 1×) peers Nan Luo

Countries citing papers authored by Ole Marten

Since Specialization
Citations

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

Fields of papers citing papers by Ole Marten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Marten

This figure shows the co-authorship network connecting the top 25 collaborators of Ole Marten. A scholar is included among the top collaborators of Ole Marten 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 Ole Marten. Ole Marten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Schneider, P., et al.. (2025). Test-retest reliability of the Online Elicitation of Personal Utility Functions (OPUF) approach for valuing the EQ-HWB-S. The European Journal of Health Economics. 26(7). 1175–1190. 1 indexed citations
3.
Marten, Ole & Wolfgang Greiner. (2023). Exploring differences and similarities of EQ-5D-3L, EQ-5D-5L and WHOQOL-OLD in recipients of aged care services in Germany. PLoS ONE. 18(8). e0290606–e0290606. 3 indexed citations
4.
Peasgood, Tessa, Clara Mukuria, John Brazier, et al.. (2022). Developing a New Generic Health and Wellbeing Measure: Psychometric Survey Results for the EQ-HWB. Value in Health. 25(4). 525–533. 53 indexed citations
5.
Buchholz, Ines, Ole Marten, & Mathieu F. Janssen. (2022). Feasibility and validity of the EQ-5D-3L in the elderly Europeans: a secondary data analysis using SHARE(d) data. Quality of Life Research. 31(11). 3267–3282. 6 indexed citations
6.
Marten, Ole & Wolfgang Greiner. (2022). Feasibility properties of the EQ-5D-3L and 5L in the general population: evidence from the GP Patient Survey on the impact of age. Health Economics Review. 12(1). 28–28. 2 indexed citations
7.
Carlton, Jill, Tessa Peasgood, Clara Mukuria, et al.. (2022). Generation, Selection, and Face Validation of Items for a New Generic Measure of Quality of Life: The EQ-HWB. Value in Health. 25(4). 512–524. 22 indexed citations
8.
Marten, Ole, et al.. (2021). Feasibility of the EQ-5D in the elderly population: a systematic review of the literature. Quality of Life Research. 31(6). 1621–1637. 33 indexed citations
9.
Marten, Ole & Wolfgang Greiner. (2021). EQ-5D-5L reference values for the German general elderly population. Health and Quality of Life Outcomes. 19(1). 76–76. 46 indexed citations
10.
Carlton, Jill, Janice Connell, Tessa Peasgood, et al.. (2020). E-QALY: face validity testing the items for a new generic preference-based measure. Own your potential (DEAKIN). 1 indexed citations
11.
Marten, Ole, Brendan Mulhern, Nick Bansback, & Aki Tsuchiya. (2020). Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation. Medical Decision Making. 40(6). 735–745. 3 indexed citations
12.
Marten, Ole, Florian Koerber, David E. Bloom, et al.. (2019). A DELPHI study on aspects of study design to overcome knowledge gaps on the burden of disease caused by serogroup B invasive meningococcal disease. Health and Quality of Life Outcomes. 17(1). 87–87. 8 indexed citations
13.
Schmidt, Katharina, Ole Marten, Christian Kühne, Jan Zeidler, & Martin Frank. (2017). Einflussfaktoren auf die Standortwahl von hausärztlichen Land- und Stadtärzten in Niedersachsen. Gesundheitsökonomie & Qualitätsmanagement. 22(6). 280–289. 1 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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