Michael Hofmann

About

Michael Hofmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Michael Hofmann has authored 21 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Hardware and Architecture. Recurrent topics in Michael Hofmann’s work include Parallel Computing and Optimization Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Video Surveillance and Tracking Methods (3 papers). Michael Hofmann is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Video Surveillance and Tracking Methods (3 papers). Michael Hofmann collaborates with scholars based in Germany, Austria and The Netherlands. Michael Hofmann's co-authors include Dariu M. Gavrila, Igor M. Sokolov, Aleksei V. Chechkin, Liu Ren, Godehard Sutmann, Holger Dachsel, Daniel Potts, Gernot Schaller, Christian Holm and Nanxiang Li and has published in prestigious journals such as Scientific Reports, Physical Review A and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Michael Hofmann i

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Fields of papers citing papers by Michael Hofmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Hofmann

Since Specialization

Citations

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