Daniela Rus
- Condensed Matter Physics top 0.1%
- Micro and Nano Robotics 75
- Mechanical Engineering top 0.01%
- Modular Robots and Swarm Intelligence 201
- Advanced Materials and Mechanics 82
- Biomedical Engineering top 0.02%
- Soft Robotics and Applications 107
- Health Informatics top 0.1%
- Computer Networks and Communications top 0.05%
- Distributed Control Multi-Agent Systems 70
-
- Robotic Path Planning Algorithms 111
-
- Robot Manipulation and Learning 65
-
- Autonomous Vehicle Technology and Safety 63
- Co-authors
- Michael T. TolleyÇağdaş D. ÖnalAndrew D. MarcheseRobert K. KatzschmannRobert J. WoodJavier Alonso–MoraQun LiMac Schwager
- Journals
- IEEE Robotics and Automation Letters (37 papers)The International Journal of Robotics Research (29 papers)Autonomous Robots (11 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Daniela Rus
678 papers receiving 40.7k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Condensed Matter Physics 5.8k
- Mechanical Engineering 14.3k
- Biomedical Engineering 16.1k
- Health Informatics 477
- Computer Networks and Communications 7.7k
Countries citing papers authored by Daniela Rus
This map shows the geographic impact of Daniela Rus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Rus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Rus more than expected).
Fields of papers citing papers by Daniela Rus
This network shows the impact of papers produced by Daniela Rus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Rus. The network helps show where Daniela Rus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Rus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mappingbreakdown → | 2021 | 314 |
| 10 | 2021 | 40 | |
| 11 | 2020 | 140 | |
| 12 | Streaming coreset constructions for M-estimators | 2019 | 4 |
| 13 | 2018 | 163 | |
| 14 | 2017 | 40 | |
| 15 | 2017 | 88 | |
| 16 | 2016 | 19 | |
| 17 | 2016 | 11 | |
| 18 | 2015 | 41 | |
| 19 | 2012 | 120 | |
| 20 | 2012 | 53 |
About Daniela Rus
Daniela Rus is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Automotive Engineering, having authored 703 papers that have together received 42.3k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (201 papers), Robotic Path Planning Algorithms (111 papers), Soft Robotics and Applications (107 papers), Advanced Materials and Mechanics (82 papers), Micro and Nano Robotics (75 papers), Distributed Control Multi-Agent Systems (70 papers), Robot Manipulation and Learning (65 papers) and Autonomous Vehicle Technology and Safety (63 papers). The work is most often cited by research in Condensed Matter Physics (5.8k citations), Mechanical Engineering (14.3k citations) and Biomedical Engineering (16.1k citations). Daniela Rus has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Michael T. Tolley, Çağdaş D. Önal, Andrew D. Marchese, Robert K. Katzschmann, Robert J. Wood, Javier Alonso–Mora, Qun Li, Mac Schwager, Keith Kotay and Wilko Schwarting. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Autonomous Robots, IEEE Transactions on Robotics and IEEE Robotics & Automation Magazine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.