Nina Wenig

About

Nina Wenig is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nina Wenig has authored 4 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nina Wenig’s work include AI in Service Interactions (2 papers), Evacuation and Crowd Dynamics (1 paper) and Digital Games and Media (1 paper). Nina Wenig is often cited by papers focused on AI in Service Interactions (2 papers), Evacuation and Crowd Dynamics (1 paper) and Digital Games and Media (1 paper). Nina Wenig collaborates with scholars based in Germany, Finland and United States. Nina Wenig's co-authors include Ashley Colley, Allen Yilun Lin, Donald Degraen, Jonna Häkkilä, Dirk Wenig, Jacob Thebault-Spieker, Nuno Nunes, Valentina Nisi, Johannes Schöning and Brent Hecht and has published in prestigious journals such as UCL Discovery (University College London), LaCRIS (University of Lapland) and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Co-authorship network of co-authors of Nina Wenig i

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Fields of papers citing papers by Nina Wenig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Wenig

Since Specialization

Citations

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