Gerhard Heyer

38 papers and 704 indexed citations i.

About

Gerhard Heyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gerhard Heyer has authored 38 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Gerhard Heyer’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Semantic Web and Ontologies (9 papers). Gerhard Heyer is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Semantic Web and Ontologies (9 papers). Gerhard Heyer collaborates with scholars based in Germany, United States and Denmark. Gerhard Heyer's co-authors include Gregor Wiedemann, Uwe Quasthoff, Andreas Niekler, Thomas Häußler, Silke Adam, Peter Miltner, Ueli Reber, Hannah Schmid-Petri, Daniel Maier and Annie Waldherr and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Gerhard Heyer i

Fields of papers citing papers by Gerhard Heyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerhard Heyer

Since Specialization
Citations

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