Mark Oliver Güld

15 papers and 270 indexed citations i.

About

Mark Oliver Güld is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mark Oliver Güld has authored 15 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Mark Oliver Güld’s work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Biomedical Text Mining and Ontologies (4 papers). Mark Oliver Güld is often cited by papers focused on Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Biomedical Text Mining and Ontologies (4 papers). Mark Oliver Güld collaborates with scholars based in Germany, United States and France. Mark Oliver Güld's co-authors include Thomas Lehmann, Henning Schubert, Daniel Keysers, B. Wein, Hermann Ney, Klaus Spitzer, Christian Thies, Benedikt Fischer, Thomas Deselaers and Thomas M. Deserno and has published in prestigious journals such as Pattern Recognition Letters, International Journal of Medical Informatics and Computerized Medical Imaging and Graphics.

In The Last Decade

Co-authorship network of co-authors of Mark Oliver Güld i

Fields of papers citing papers by Mark Oliver Güld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Oliver Güld. 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 Mark Oliver Güld. The network helps show where Mark Oliver Güld may publish in the future.

Countries citing papers authored by Mark Oliver Güld

Since Specialization
Citations

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