Raman Arora
About
Raman Arora is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing.
According to data from OpenAlex, Raman Arora has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Raman Arora’s work include Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Speech and Audio Processing (8 papers). Raman Arora is often cited by papers focused on Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Speech and Audio Processing (8 papers). Raman Arora collaborates with scholars based in United States, United Kingdom and India. Raman Arora's co-authors include Karen Livescu, Galen Andrew, Jeff Bilmes, Andrew Cotter, Benjamin Van Durme, Nathan Srebro, Pushpendre Rastogi, Ofer Dekel, Ambuj Tewari and Sheng Zhang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and The Journal of the Acoustical Society of America.
In The Last Decade
Co-authorship network of co-authors of Raman Arora i
Fields of papers citing papers by Raman Arora
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 Raman Arora. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Raman Arora may publish in the future.
Countries citing papers authored by Raman Arora
Since SpecializationCitations
This map shows the geographic impact of Raman Arora'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 Raman Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raman Arora more than expected).
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