Gregor Wiedemann

19 papers and 675 indexed citations i.

About

Gregor Wiedemann is a scholar working on Artificial Intelligence, General Social Sciences and Sociology and Political Science. According to data from OpenAlex, Gregor Wiedemann has authored 19 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in General Social Sciences and 3 papers in Sociology and Political Science. Recurrent topics in Gregor Wiedemann’s work include Computational and Text Analysis Methods (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Gregor Wiedemann is often cited by papers focused on Computational and Text Analysis Methods (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Gregor Wiedemann collaborates with scholars based in Germany, Switzerland and Belgium. Gregor Wiedemann's co-authors include Gerhard Heyer, Andreas Niekler, Daniel Maier, Annie Waldherr, Barbara Pfetsch, Thomas Häußler, Silke Adam, Peter Miltner, Ueli Reber and Hannah Schmid-Petri and has published in prestigious journals such as Cognitive Science, Psychological Research and Social Science Computer Review.

In The Last Decade

Co-authorship network of co-authors of Gregor Wiedemann i

Fields of papers citing papers by Gregor Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gregor Wiedemann

Since Specialization
Citations

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