Kate Saenko
About
Kate Saenko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Kate Saenko has authored 126 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Computer Vision and Pattern Recognition, 86 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kate Saenko’s work include Multimodal Machine Learning Applications (68 papers), Domain Adaptation and Few-Shot Learning (61 papers) and Human Pose and Action Recognition (32 papers). Kate Saenko is often cited by papers focused on Multimodal Machine Learning Applications (68 papers), Domain Adaptation and Few-Shot Learning (61 papers) and Human Pose and Action Recognition (32 papers). Kate Saenko collaborates with scholars based in United States, Germany and United Kingdom. Kate Saenko's co-authors include Trevor Darrell, Judy Hoffman, Marcus Rohrbach, Eric Tzeng, Subhashini Venugopalan, Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Baochen Sun and Jiashi Feng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
In The Last Decade
Co-authorship network of co-authors of Kate Saenko i
Fields of papers citing papers by Kate Saenko
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 Kate Saenko. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kate Saenko may publish in the future.
Countries citing papers authored by Kate Saenko
Since SpecializationCitations
This map shows the geographic impact of Kate Saenko'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 Kate Saenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Saenko more than expected).
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