Daniel Holden
About
Daniel Holden is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Daniel Holden has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Control and Systems Engineering and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Holden’s work include Human Motion and Animation (14 papers), Human Pose and Action Recognition (12 papers) and Medical Imaging Techniques and Applications (9 papers). Daniel Holden is often cited by papers focused on Human Motion and Animation (14 papers), Human Pose and Action Recognition (12 papers) and Medical Imaging Techniques and Applications (9 papers). Daniel Holden collaborates with scholars based in United States, United Kingdom and Canada. Daniel Holden's co-authors include Taku Komura, Jun Saito, T. A. Joyce, James Richard Forbes, Ikhsanul Habibie, Yiyun Huang, Richard E. Carson, Jonathan Schwarz, Tiberiu Popa and Oussama Kanoun and has published in prestigious journals such as ACS Nano, Neurology and Journal of Cerebral Blood Flow & Metabolism.
In The Last Decade
Co-authorship network of co-authors of Daniel Holden i
Fields of papers citing papers by Daniel Holden
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 Holden. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Holden may publish in the future.
Countries citing papers authored by Daniel Holden
Since SpecializationCitations
This map shows the geographic impact of Daniel Holden'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 Holden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Holden more than expected).
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