Gregor Wiedemann

17 papers and 680 indexed citations
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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 17 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in General Social Sciences and 4 papers in Sociology and Political Science. Recurrent topics in Gregor Wiedemann’s work include Computational and Text Analysis Methods (5 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Gregor Wiedemann is often cited by papers focused on Computational and Text Analysis Methods (5 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Gregor Wiedemann collaborates with scholars based in Germany, Switzerland and Belgium. Gregor Wiedemann's co-authors include Gerhard Heyer, Andreas Niekler, Daniel Maier, Barbara Pfetsch, Annie Waldherr, Ueli Reber, Hannah Schmid-Petri, Silke Adam, Peter Miltner and Thomas Häußler 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

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Wiedemann. A scholar is included among the top collaborators of Gregor Wiedemann 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 Gregor Wiedemann. Gregor Wiedemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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