Mohak Shah

16 papers and 336 indexed citations i.

Mohak Shah has authored 16 papers that have received a total of 336 indexed citations. This includes 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Data Classification (4 papers), IoT and Edge/Fog Computing (3 papers) and Machine Learning and Algorithms (3 papers). Mohak Shah is often cited by papers focused on Machine Learning and Data Classification (4 papers), IoT and Edge/Fog Computing (3 papers) and Machine Learning and Algorithms (3 papers) and collaborates with scholars based in United States, Canada and South Korea. Mohak Shah's co-authors include Naveen Ramakrishnan, Unmesh Kurup, Jiayi Liu, Mohamed Ali and Abdeltawab Hendawi and has published in prestigious journals such as PLoS ONE, Journal of the Franklin Institute and IEEE Transactions on Intelligent Transportation Systems