Martin Siegel

32 papers and 525 indexed citations i.

About

Martin Siegel is a scholar working on General Health Professions, Health and Economics and Econometrics. According to data from OpenAlex, Martin Siegel has authored 32 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 9 papers in Health and 7 papers in Economics and Econometrics. Recurrent topics in Martin Siegel’s work include Global Health Care Issues (10 papers), Health disparities and outcomes (9 papers) and Employment and Welfare Studies (5 papers). Martin Siegel is often cited by papers focused on Global Health Care Issues (10 papers), Health disparities and outcomes (9 papers) and Employment and Welfare Studies (5 papers). Martin Siegel collaborates with scholars based in Germany, United States and Belgium. Martin Siegel's co-authors include Verena Vogt, Leonie Sundmacher, Johan Wallin, Stephanie Stock, Andreas Mielck, Werner Maier, Marcus Redaèlli, Daniela Koller, Peter Piot and Daniel Olsen and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and Social Science & Medicine.

In The Last Decade

Co-authorship network of co-authors of Martin Siegel i

Fields of papers citing papers by Martin Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Siegel

Since Specialization
Citations

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

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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