Daniel Stoller
About
Daniel Stoller is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Daniel Stoller has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 7 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Stoller’s work include Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (7 papers). Daniel Stoller is often cited by papers focused on Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (7 papers). Daniel Stoller collaborates with scholars based in United Kingdom, United States and Sweden. Daniel Stoller's co-authors include Sebastian Ewert, Simon Dixon, Emmanouil Benetos, Bob L. Sturm, David Moffat, Yu Wang, Rachel Bittner and Juan Pablo Bello and has published in prestigious journals such as Journal of the Audio Engineering Society, arXiv (Cornell University) and International Symposium/Conference on Music Information Retrieval.
In The Last Decade
Co-authorship network of co-authors of Daniel Stoller i
Fields of papers citing papers by Daniel Stoller
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 Stoller. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Stoller may publish in the future.
Countries citing papers authored by Daniel Stoller
Since SpecializationCitations
This map shows the geographic impact of Daniel Stoller'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 Stoller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stoller more than expected).
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