Maria an der Heiden

13 papers and 65 indexed citations i.

About

Maria an der Heiden is a scholar working on Modeling and Simulation, Immunology and Infectious Diseases. According to data from OpenAlex, Maria an der Heiden has authored 13 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 4 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Maria an der Heiden’s work include COVID-19 epidemiological studies (7 papers), Immune responses and vaccinations (4 papers) and COVID-19 Digital Contact Tracing (3 papers). Maria an der Heiden is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Immune responses and vaccinations (4 papers) and COVID-19 Digital Contact Tracing (3 papers). Maria an der Heiden collaborates with scholars based in Germany, Sweden and Ireland. Maria an der Heiden's co-authors include Walter Haas, Silke Buda, Kristin Tolksdorf, Ute Rexroth, Udo Buchholz, Cornelius Remschmidt, Christian Winter, Andreas Gilsdorf, Michaela Diercke and I. Daniels-Haardt and has published in prestigious journals such as Emerging infectious diseases, BMC Public Health and Epidemiology and Infection.

In The Last Decade

Co-authorship network of co-authors of Maria an der Heiden i

Fields of papers citing papers by Maria an der Heiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria an der Heiden. 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 Maria an der Heiden. The network helps show where Maria an der Heiden may publish in the future.

Countries citing papers authored by Maria an der Heiden

Since Specialization
Citations

This map shows the geographic impact of Maria an der Heiden'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 Maria an der Heiden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria an der Heiden 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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2025