Daniel Gurdan
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Ocean Engineering top 10%
- Co-authors
- Jan StumpfMichael AchtelikIuliu VasilescuStefan SosnowskiCarrick DetweilerMarek DoniecDaniela RusNicholas Roy
- Topics
- Robotics and Sensor-Based Localization (5 papers)Robotic Path Planning Algorithms (3 papers)Adaptive Control of Nonlinear Systems (2 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaThe International Journal of Robotics ResearchProceedings - IEEE International Conference on Robotics and Automation/Proceedings
- 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
- Electrical and Electronic Engineering 89
- Ocean Engineering 83
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-authorship network of co-authors of Daniel Gurdan
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gurdan. A scholar is included among the top collaborators of Daniel Gurdan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Gurdan. Daniel Gurdan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 69 | |
| 3 | 54 | |
| 4 | 57 | |
| 5 | 53 | |
| 6 | 35 | |
| 7 | 195 |
About Daniel Gurdan
Daniel Gurdan is a scholar working on Aerospace Engineering, Geology and Computer Vision and Pattern Recognition, 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) and Adaptive Control of Nonlinear Systems (2 papers). The work is most often cited by research in Aerospace Engineering (267 citations), Computer Vision and Pattern Recognition (179 citations) and Control and Systems Engineering (177 citations). Daniel Gurdan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jan Stumpf, Michael Achtelik, Iuliu Vasilescu, Stefan Sosnowski, Carrick Detweiler, Marek Doniec, Daniela Rus, Nicholas Roy, Alborz Geramifard and Ruijie He. Their work appears in journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.