Ansgar Scherp

74 papers and 451 indexed citations i.

About

Ansgar Scherp is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ansgar Scherp has authored 74 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 25 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ansgar Scherp’s work include Semantic Web and Ontologies (24 papers), Video Analysis and Summarization (17 papers) and Topic Modeling (13 papers). Ansgar Scherp is often cited by papers focused on Semantic Web and Ontologies (24 papers), Video Analysis and Summarization (17 papers) and Topic Modeling (13 papers). Ansgar Scherp collaborates with scholars based in Germany, United Kingdom and United States. Ansgar Scherp's co-authors include Carsten Saathoff, Steffen Staab, Vasileios Mezaris, Ramesh Jain, Susanne Boll, Thomas R. Franz, Thomas Gottron, Stefan Morana, Alexander Maedche and Mohan Kankanhalli and has published in prestigious journals such as IEEE Access, Neural Networks and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Ansgar Scherp i

Fields of papers citing papers by Ansgar Scherp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ansgar Scherp

Since Specialization
Citations

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