Daniel Gurdan
Impact in
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
- Guidance and Control Systems
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- Robotic Path Planning Algorithms
Papers in
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- Robotics and Sensor-Based Localization 5
- Inertial Sensor and Navigation 1
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- Adaptive Control of Nonlinear Systems 2
- Co-authors
- Jan Stumpf (7 shared papers)Michael Achtelik (5 shared papers)Iuliu Vasilescu (1 shared paper)Marek Doniec (1 shared paper)Stefan Sosnowski (1 shared paper)Carrick Detweiler (1 shared paper)Daniela Rus (1 shared paper)Samuel Prentice (1 shared paper)
- Journals
- The International Journal of Robotics Research (2 papers)SHILAP Revista de lepidopterología (1 paper)AIAA Guidance, Navigation, and Control Conference (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Gurdan
7 papers receiving 458 citations
Peers
Comparison fields: 5 of 50
- Aerospace Engineering 267
- Computer Vision and Pattern Recognition 179
- Control and Systems Engineering 177
- Ocean Engineering 83
- Computer Networks and Communications 77
Countries citing papers authored by Daniel Gurdan
This map shows the geographic impact of Daniel Gurdan'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 Daniel Gurdan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gurdan more than expected).
Fields of papers citing papers by Daniel Gurdan
This network shows the impact of papers produced by Daniel Gurdan. 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 Daniel Gurdan. The network helps show where Daniel Gurdan may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Gurdan, 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 | 2007 | 195 | |
| 2 | 2012 | 69 | |
| 3 | 2011 | 57 | |
| 4 | 2011 | 54 | |
| 5 | 2010 | 53 | |
| 6 | 2009 | 35 | |
| 7 | 2012 | 17 |
About Daniel Gurdan
Daniel Gurdan is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Oceanography and Ocean Engineering, having authored 7 papers that have together received 480 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers), Adaptive Control of Nonlinear Systems (2 papers), Inertial Sensor and Navigation (1 paper), Video Surveillance and Tracking Methods (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Remote Sensing and LiDAR Applications (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Aerospace Engineering (267 citations), Computer Vision and Pattern Recognition (179 citations), Control and Systems Engineering (177 citations), Ocean Engineering (83 citations) and Computer Networks and Communications (77 citations). Daniel Gurdan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jan Stumpf, Michael Achtelik, Iuliu Vasilescu, Marek Doniec, Stefan Sosnowski, Carrick Detweiler, Daniela Rus, Samuel Prentice, Alborz Geramifard and Nicholas Roy. Their work appears in journals such as The International Journal of Robotics Research, SHILAP Revista de lepidopterología, AIAA Guidance, Navigation, and Control Conference, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
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.