Daniel Keysers
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 SpecializationEngineeringComputer 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 Daniel Keysers. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Keysers may publish in the future.
Countries citing papers authored by Daniel Keysers
Since SpecializationCitations
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).
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