The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Debdeep Mukhopadhyay sits on this spectrum.
This scientist: 424 publications — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Debdeep Mukhopadhyay sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Debdeep Mukhopadhyay is affiliated with the Indian Institute of Technology Kharagpur in India. Their research spans multiple areas within computer science and engineering, with a focus on hardware security and cryptographic applications. The main fields of study encompass Computer Science and Engineering, with significant contributions to Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Signal Processing, and Computer Vision and Pattern Recognition.
The scientist's work covers a range of topics, including:
Frequent collaborators in their research include Manaar Alam, Sayandeep Saha, Sikhar Patranabis, Sarani Bhattacharya, and Urbi Chatterjee. Their work has appeared prominently in various publication venues such as arXiv (Cornell University), IACR Transactions on Cryptographic Hardware and Embedded Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Computers, and ACM Journal on Emerging Technologies in Computing Systems.
Recent publications reflect a focus on security, hardware authentication, and machine learning resilience. Selected recent papers include:
Debdeep Mukhopadhyay has contributed extensively to research on Physical Unclonable Functions, a hardware security primitive, and on cryptographic methods aimed at improving digital information protection. Their work also intersects with adversarial robustness within machine learning, reflecting a multidisciplinary approach involving both theoretical and applied computer science.
They have been recognized as an ACM Senior Member since 2020.
Debdeep Mukhopadhyay;Behrouz A. Forouzan;Forouzan
Anirban Chakraborty;Manaar Alam;Vishal Dey;Anupam Chattopadhyay
Michael Tunstall;Debdeep Mukhopadhyay;Subidh Ali
Anirban Chakraborty;Manaar Alam;Vishal Dey;Anupam Chattopadhyay
Urbi Chatterjee;Vidya Govindan;Rajat Sadhukhan;Debdeep Mukhopadhyay
Urbi Chatterjee;Rajat Subhra Chakraborty;Debdeep Mukhopadhyay
Shangqi Lai;Sikhar Patranabis;Amin Sakzad;Joseph K. Liu
Debdeep Mukhopadhyay
Durga Prasad Sahoo;Debdeep Mukhopadhyay;Rajat Subhra Chakraborty;Phuong Ha Nguyen
G. Sengar;D. Mukhopadhyay;D.R. Chowdhury
Dhiman Saha;Debdeep Mukhopadhyay;Dipanwita Roy Chowdhury
Sayandeep Saha;Rajat Subhra Chakraborty;Srinivasa Shashank Nuthakki;Anshul
Sarani Bhattacharya;Debdeep Mukhopadhyay
Sikhar Patranabis;Abhishek Chakraborty;Debdeep Mukhopadhyay
Debdeep Mukhopadhyay
Anju P. Johnson;Rajat Subhra Chakraborty;Debdeep Mukhopadhyay
Durga Prasad Sahoo;Phuong Ha Nguyen;Debdeep Mukhopadhyay;Rajat Subhra Chakraborty
Harshal Tupsamudre;Shikha Bisht;Debdeep Mukhopadhyay
Xiaofei Guo;Debdeep Mukhopadhyay;Chenglu Jin;Ramesh Karri
Mukesh Agrawal;Sandip Karmakar;Dhiman Saha;Debdeep Mukhopadhyay
Michael Tunstall;Debdeep Mukhopadhyay
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