Alexander Gepperth

39 papers and 279 indexed citations i.

About

Alexander Gepperth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Alexander Gepperth has authored 39 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Alexander Gepperth’s work include Domain Adaptation and Few-Shot Learning (9 papers), Neural Networks and Applications (8 papers) and Video Surveillance and Tracking Methods (6 papers). Alexander Gepperth is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Neural Networks and Applications (8 papers) and Video Surveillance and Tracking Methods (6 papers). Alexander Gepperth collaborates with scholars based in Germany, France and Japan. Alexander Gepperth's co-authors include Jannik Fritsch, M. Ortíz, Franz Kümmert, Stefan Roth, Uwe Handmann, Christian Goerick, Marcus Kleinehagenbrock, Britta Mersch, Mandar Gogate and Sándor Suhai and has published in prestigious journals such as BMC Bioinformatics, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Alexander Gepperth i

Fields of papers citing papers by Alexander Gepperth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Gepperth

Since Specialization
Citations

This map shows the geographic impact of Alexander Gepperth'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 Alexander Gepperth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Gepperth 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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2025