Martin Riedl

57 papers and 585 indexed citations
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About

Martin Riedl is a scholar working on Communication, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Martin Riedl has authored 57 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Communication, 25 papers in Artificial Intelligence and 17 papers in Sociology and Political Science. Recurrent topics in Martin Riedl’s work include Social Media and Politics (26 papers), Media Studies and Communication (13 papers) and Natural Language Processing Techniques (11 papers). Martin Riedl is often cited by papers focused on Social Media and Politics (26 papers), Media Studies and Communication (13 papers) and Natural Language Processing Techniques (11 papers). Martin Riedl collaborates with scholars based in United States, Germany and Austria. Martin Riedl's co-authors include Chris Biemann, Samuel Woolley, Danielle K. Brown, Gina Masullo Chen, Kyser Lough, Josephine Lukito, Peter Findeisen, Yee Man Margaret Ng, Victor Costina and Michael Neumaier and has published in prestigious journals such as Clinical Chemistry, Computers in Human Behavior and Journal of Experimental Biology.

In The Last Decade

Co-authorship network of co-authors of Martin Riedl

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Riedl. A scholar is included among the top collaborators of Martin Riedl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Riedl. Martin Riedl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Martin Riedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Riedl

Since Specialization
Citations

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