Michael Mäs

28 papers and 1.1k indexed citations i.

About

Michael Mäs is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Michael Mäs has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 18 papers in Statistical and Nonlinear Physics and 7 papers in Communication. Recurrent topics in Michael Mäs’s work include Opinion Dynamics and Social Influence (18 papers), Complex Network Analysis Techniques (9 papers) and Social Media and Politics (7 papers). Michael Mäs is often cited by papers focused on Opinion Dynamics and Social Influence (18 papers), Complex Network Analysis Techniques (9 papers) and Social Media and Politics (7 papers). Michael Mäs collaborates with scholars based in The Netherlands, Germany and Switzerland. Michael Mäs's co-authors include Andreas Flache, Dirk Helbing, Jan Lorenz, Károly Takács, Thomas Feliciani, Guillaume Deffuant, Edmund Chattoe‐Brown, Sylvie Huet, Heinrich H. Nax and Karen A. Jehn and has published in prestigious journals such as PLoS ONE, Organization Science and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Michael Mäs i

Fields of papers citing papers by Michael Mäs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Mäs

Since Specialization
Citations

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