D. Rus
Impact in
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- Distributed Control Multi-Agent Systems
- Energy Efficient Wireless Sensor Networks
- Ocean Engineering top 5%
- Underwater Vehicles and Communication Systems
Papers in
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- Modular Robots and Swarm Intelligence 11
- Advanced Materials and Mechanics 4
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- Optimization and Search Problems 2
- Energy Efficient Wireless Sensor Networks 2
- Co-authors
- Marsette Vona (2 shared papers)Iuliu Vasilescu (4 shared papers)James McLurkin (1 shared paper)Mac Schwager (1 shared paper)Peter Corke (2 shared papers)Matthew Dunbabin (2 shared papers)Marek Doniec (1 shared paper)Keith Kotay (2 shared papers)
- Journals
- IEEE Robotics & Automation Magazine (2 papers)The International Journal of Robotics Research (2 papers)IEEE Intelligent Systems and their Applications (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
D. Rus
18 papers receiving 572 citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 244
- Ocean Engineering 139
- Condensed Matter Physics 86
- Mechanical Engineering 264
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by D. Rus
This map shows the geographic impact of D. 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 D. Rus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Rus more than expected).
Fields of papers citing papers by D. Rus
This network shows the impact of papers produced by D. 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 D. Rus. The network helps show where D. Rus may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 | 2006 | 107 | |
| 2 | 2006 | 100 | |
| 3 | 2002 | 68 | |
| 4 | 2010 | 48 | |
| 5 | 2010 | 42 | |
| 6 | 2006 | 39 | |
| 7 | 1998 | 36 | |
| 8 | 2002 | 36 | |
| 9 | 2010 | 33 | |
| 10 | 2010 | 21 | |
| 11 | 2010 | 18 | |
| 12 | 2005 | 16 | |
| 13 | 2006 | 14 | |
| 14 | 2004 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2010 | 2 | |
| 18 | 2003 | 2 |
About D. Rus
D. Rus is a scholar working on Mechanical Engineering, Computer Networks and Communications, Ocean Engineering, Biomedical Engineering and Condensed Matter Physics, having authored 18 papers that have together received 602 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (11 papers), Advanced Materials and Mechanics (4 papers), Soft Robotics and Applications (4 papers), Micro and Nano Robotics (4 papers), Underwater Vehicles and Communication Systems (4 papers), Optimization and Search Problems (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (244 citations), Ocean Engineering (139 citations), Condensed Matter Physics (86 citations), Mechanical Engineering (264 citations) and Computer Vision and Pattern Recognition (89 citations). D. Rus has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Marsette Vona, Iuliu Vasilescu, James McLurkin, Mac Schwager, Peter Corke, Matthew Dunbabin, Marek Doniec, Keith Kotay, Carrick Detweiler and Paulina Varshavskaya. Their work appears in journals such as IEEE Robotics & Automation Magazine, The International Journal of Robotics Research and IEEE Intelligent Systems and their Applications.
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.