Daniela Rus: h-index, Total Citations, and Citation Map
Daniela Rus's h-index is 165 (724 i10-index, 104,264+ total citations across 1,000+ publications) according to Google Scholar as of July 2026. Daniela Rus is affiliated with Andrew (1956) and Erna Viterbi Professor of Computer Science, MIT.
Daniela Rus is a researcher affiliated with Andrew (1956) and Erna Viterbi Professor of Computer Science, MIT, specializing in Robotics, Wireless Networks, Distributed Computing. Their work has been cited 104,264 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Daniela Rus's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 7 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 165
- i10-Index
- 724
- Total Citations
- 104,264
- Citing Countries
- 14
As of July 2026.
Daniela Rus has an h-index of 165 and 104,264 total citations across 1000 publications, with research cited by institutions in 14 countries.
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Design, fabrication and control of soft robots
20157,174
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniela Rus's research
Daniela Rus is a researcher in Robotics, Wireless Networks and Distributed Computing at Andrew (1956) and Erna Viterbi Professor of Computer Science, MIT. Their work has been cited 104,264 times across 1,000 publications (h-index 165), according to Google Scholar.
Their most-cited work, “Design, fabrication and control of soft robots” (2015), has accumulated 7,174 citations. Other influential works include “Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping” (2020) with 3,001 citations and “Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation” (2023) with 2,115 citations.
Citations of Daniela Rus's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
