The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mani Srivastava sits on this spectrum.
This scientist: 561 publications — 88th percentile
88% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mani Srivastava sits on this spectrum.
This scientist: 114 D-Index — 99th percentile
99% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Mani Srivastava is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the field of computer science, with a focus on several specialized subfields including artificial intelligence, signal processing, computer vision and pattern recognition, electrical and electronic engineering, and computer networks and communications.
Their work covers various topics, notable among them are anomaly detection techniques and applications, time series analysis and forecasting, adversarial robustness in machine learning, explainable artificial intelligence (XAI), indoor and outdoor localization technologies, music and audio processing, and neural networks and applications.
Some of the recent papers authored or co-authored by Mani Srivastava include:
Mani Srivastava has collaborated frequently with several colleagues, including Lance Kaplan, Federico Cerutti, Sandeep Singh Sandha, Alun Preece, and Luis Antonio Ribot García.
Their publications often appear in venues such as arXiv (Cornell University), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Sensors Journal, ACM Transactions on Privacy and Security, and Patterns.
In recognition of their contributions, Mani Srivastava was named an ACM Fellow in 2017, cited specifically for their work in sensor networks, mobile personal sensing, and cyber-physical systems.
Saurabh Ganeriwal;Ram Kumar;Mani B. Srivastava
D. Culler;D. Estrin;M. Srivastava
V. Raghunathan;C. Schurgers;Sung Park;M.B. Srivastava
S. Meguerdichian;F. Koushanfar;M. Potkonjak;M.B. Srivastava
David Cruller;Deborah Estrin;Mani Srivastava
Aman Kansal;Jason Hsu;Sadaf Zahedi;Mani B. Srivastava
Vijay Raghunathan;Aman Kansal;Jason Hsu;Jonathan Friedman
D. Estrin;L. Girod;G. Pottie;M. Srivastava
Saurabh Ganeriwal;Laura K. Balzano;Mani B. Srivastava
C. Schurgers;M.B. Srivastava
Andreas Savvides;Heemin Park;Mani B. Srivastava
Sasank Reddy;Min Mun;Jeff Burke;Deborah Estrin
C. Schurgers;V. Tsiatsis;S. Ganeriwal;M. Srivastava
JeongGil Ko;Chenyang Lu;Mani B Srivastava;John A Stankovic
Moustafa Alzantot;Yash Sharma;Ahmed Elgohary;Bo-Jhang Ho
Chih-Chieh Han;Ram Kumar;Roy Shea;Eddie Kohler
I. Hong;D. Kirovski;Gang Qu;M. Potkonjak
Saurabh Ganeriwal;Mani B. Srivastava
Mohammad Rahimi;Rick Baer;Obimdinachi I. Iroezi;Juan C. Garcia
M.B. Srivastava;A.P. Chandrakasan;R.W. Brodersen
Erdal Cayirci;Ramesh Govindan;Taieb Znati;Mani Srivastava
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