Mathematical Population Studies

398 papers and 4.2k indexed citations i.

About

The 398 papers published in Mathematical Population Studies in the last decades have received a total of 4.2k indexed citations. Papers published in Mathematical Population Studies usually cover Demography (122 papers), Economics and Econometrics (80 papers) and Public Health, Environmental and Occupational Health (73 papers) specifically the topics of Insurance, Mortality, Demography, Risk Management (98 papers), Mathematical and Theoretical Epidemiology and Ecology Models (65 papers) and Global Health Care Issues (50 papers). The most active scholars publishing in Mathematical Population Studies are Julien Arino, P. van den Driessche, Hisashi Inaba, Anatoli I. Yashin, Noël Bonneuil, Ivan A. Iachine, Andrei Rogers, Richard D. Gill, James W. Vaupel and Prithwis Das Gupta.

In The Last Decade

Fields of papers published in Mathematical Population Studies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Population Studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Mathematical Population Studies.

Countries where authors publish in Mathematical Population Studies

Since Specialization
Citations

This map shows the geographic impact of research published in Mathematical Population Studies. 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 papers published in Mathematical Population Studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathematical Population Studies 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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