Martin Bicher

34 papers and 143 indexed citations i.

About

Martin Bicher is a scholar working on Modeling and Simulation, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Martin Bicher has authored 34 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 9 papers in Management Science and Operations Research and 6 papers in Epidemiology. Recurrent topics in Martin Bicher’s work include COVID-19 epidemiological studies (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and demographic modeling and climate adaptation (5 papers). Martin Bicher is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and demographic modeling and climate adaptation (5 papers). Martin Bicher collaborates with scholars based in Austria, United States and Slovenia. Martin Bicher's co-authors include Niki Popper, Uwe Siebert, Wolfgang Lorenz, Gaby Sroczynski, Nikolai Mühlberger, Beate Jahn, Felix Breitenecker, Florian Bachner, Stefan Thurner and Martin Zuba and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Computational Biology.

In The Last Decade

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

Fields of papers citing papers by Martin Bicher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Bicher

Since Specialization
Citations

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