Francis Kubala
About
Francis Kubala is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Francis Kubala has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francis Kubala’s work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (8 papers). Francis Kubala is often cited by papers focused on Speech Recognition and Synthesis (17 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (8 papers). Francis Kubala collaborates with scholars based in United States, Japan and Egypt. Francis Kubala's co-authors include Richard Schwartz, J. Makhoul, Long Nguyen, John Makhoul and Daben Liu and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and ACM Computing Surveys.
In The Last Decade
Fields of papers citing papers by Francis Kubala
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 Francis Kubala. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Francis Kubala may publish in the future.
Countries citing papers authored by Francis Kubala
Since SpecializationCitations
This map shows the geographic impact of Francis Kubala'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 Francis Kubala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Kubala more than expected).
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