Hemlata Tak
About
Hemlata Tak is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Hemlata Tak has authored 17 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hemlata Tak’s work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (6 papers). Hemlata Tak is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (6 papers). Hemlata Tak collaborates with scholars based in France, South Korea and India. Hemlata Tak's co-authors include Massimiliano Todisco, José Patino, Nicholas Evans, Madhu R. Kamble and Jee-weon Jung and has published in prestigious journals such as Speech Communication.
In The Last Decade
Fields of papers citing papers by Hemlata Tak
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 Hemlata Tak. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hemlata Tak may publish in the future.
Countries citing papers authored by Hemlata Tak
Since SpecializationCitations
This map shows the geographic impact of Hemlata Tak'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 Hemlata Tak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemlata Tak more than expected).
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