Lalit Gupta
About
Lalit Gupta has authored 65 papers that have received a total of 779 indexed citations.
This includes 20 papers in Artificial Intelligence, 19 papers in Signal Processing and 18 papers in Cognitive Neuroscience. The topics of these papers are Neural Networks and Applications (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Blind Source Separation Techniques (10 papers). Lalit Gupta is often cited by papers focused on Neural Networks and Applications (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Blind Source Separation Techniques (10 papers) and collaborates with scholars based in United States, United Kingdom and India. Lalit Gupta's co-authors include Ravi Vaidyanathan, Dennis L. Molfese, Srinivas Kota, Michael Mace and Shouyan Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Sensors.
In The Last Decade
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