Eitan Marder-Eppstein
Impact in
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- Robotic Path Planning Algorithms
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- Robot Manipulation and Learning
- Robotics and Automated Systems
Papers in
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- Robotic Path Planning Algorithms 4
- Augmented Reality Applications 2
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Kurt Konolige (3 shared papers)Tully Foote (2 shared papers)Brian Gerkey (2 shared papers)Wim Meeussen (3 shared papers)Bhaskara Marthi (2 shared papers)Jonathan Bohren (2 shared papers)Melonee Wise (2 shared papers)Radu Bogdan Rusu (2 shared papers)
- Journals
- Aisberg (University of Bergamo) (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Eitan Marder-Eppstein
8 papers receiving 938 citations
Eitan Marder-Eppstein's Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 533
- Control and Systems Engineering 419
- Aerospace Engineering 379
- Human-Computer Interaction 70
- Geology 38
Countries citing papers authored by Eitan Marder-Eppstein
This map shows the geographic impact of Eitan Marder-Eppstein'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 Eitan Marder-Eppstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eitan Marder-Eppstein more than expected).
Fields of papers citing papers by Eitan Marder-Eppstein
This network shows the impact of papers produced by Eitan Marder-Eppstein. 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 Eitan Marder-Eppstein. The network helps show where Eitan Marder-Eppstein may publish in the future.
Co-authors
The 23 scholars most cited alongside Eitan Marder-Eppstein, 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 | The Office Marathon: Robust navigation in an indoor office environment Hit paper breakdown → | 2010 | 347 |
| 2 | 2011 | 170 | |
| 3 | 2017 | 137 | |
| 4 | 2010 | 118 | |
| 5 | 2011 | 93 | |
| 6 | 2011 | 67 | |
| 7 | 2016 | 49 | |
| 8 | 2011 | 6 |
About Eitan Marder-Eppstein
Eitan Marder-Eppstein is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Automotive Engineering, having authored 8 papers that have together received 987 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers), Robot Manipulation and Learning (3 papers), Augmented Reality Applications (2 papers), Teleoperation and Haptic Systems (1 paper), Evacuation and Crowd Dynamics (1 paper), Robotics and Automated Systems (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (533 citations), Control and Systems Engineering (419 citations), Aerospace Engineering (379 citations), Human-Computer Interaction (70 citations) and Geology (38 citations). Eitan Marder-Eppstein has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Kurt Konolige, Tully Foote, Brian Gerkey, Wim Meeussen, Bhaskara Marthi, Jonathan Bohren, Melonee Wise, Radu Bogdan Rusu, Caroline Pantofaru and Stefan M. Holzer. Their work appears in journals such as Aisberg (University of Bergamo) and The Journal of Open Source Software.
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.