Daniel Keysers

53 papers and 1.9k indexed citations i.

About

Daniel Keysers is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Daniel Keysers has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Daniel Keysers’s work include Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Handwritten Text Recognition Techniques (13 papers). Daniel Keysers is often cited by papers focused on Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Handwritten Text Recognition Techniques (13 papers). Daniel Keysers collaborates with scholars based in Germany, United States and Switzerland. Daniel Keysers's co-authors include Hermann Ney, Thomas Deselaers, Thomas M. Breuel, Faisal Shafait, B. Wein, Thomas Lehmann, Henning Schubert, Michael Kohnen, Christian Gollan and Henry A. Rowley and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Daniel Keysers i

Fields of papers citing papers by Daniel Keysers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Keysers

Since Specialization
Citations

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