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, France and United States. Mark Oliver Güld's co-authors include Thomas Lehmann, Daniel Keysers, Benedikt Fischer, Christian Thies and Henning Schubert 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

Fields of papers citing papers by Mark Oliver Güld

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Mark Oliver Güld. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025