Sanjeev R. Kulkarni
About
Sanjeev R. Kulkarni has authored 141 papers that have received a total of 3.2k indexed citations.
This includes 69 papers in Artificial Intelligence, 48 papers in Computer Networks and Communications and 28 papers in Computer Vision and Pattern Recognition. The topics of these papers are Algorithms and Data Compression (16 papers), Machine Learning and Algorithms (16 papers) and Sparse and Compressive Sensing Techniques (13 papers). Sanjeev R. Kulkarni is often cited by papers focused on Algorithms and Data Compression (16 papers), Machine Learning and Algorithms (16 papers) and Sparse and Compressive Sensing Techniques (13 papers) and collaborates with scholars based in United States, Australia and Spain. Sanjeev R. Kulkarni's co-authors include H. Vincent Poor, Sergio Verdú, Mohammad Mohammadi Amiri, Denız Gündüz and Prateek Mittal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Journal of Colloid and Interface Science
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