D. Meyer‐Ebrecht

36 papers and 417 indexed citations i.

About

D. Meyer‐Ebrecht is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, D. Meyer‐Ebrecht has authored 36 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Biophysics. Recurrent topics in D. Meyer‐Ebrecht’s work include AI in cancer detection (11 papers), Cell Image Analysis Techniques (9 papers) and Image Processing Techniques and Applications (5 papers). D. Meyer‐Ebrecht is often cited by papers focused on AI in cancer detection (11 papers), Cell Image Analysis Techniques (9 papers) and Image Processing Techniques and Applications (5 papers). D. Meyer‐Ebrecht collaborates with scholars based in Germany, Finland and Australia. D. Meyer‐Ebrecht's co-authors include Werner Krybus, Alfred Böcking, G. Schlöndorff, Ralph Mösges, Til Aach, Georg Schloendorff, Joachim M. Gilsbach, M. Reim, F. Jung and Sébastian Wolf and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and Computer.

In The Last Decade

Co-authorship network of co-authors of D. Meyer‐Ebrecht i

Fields of papers citing papers by D. Meyer‐Ebrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Meyer‐Ebrecht. 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 D. Meyer‐Ebrecht. The network helps show where D. Meyer‐Ebrecht may publish in the future.

Countries citing papers authored by D. Meyer‐Ebrecht

Since Specialization
Citations

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