Ioan A. Şucan
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 1%
- Aerospace Engineering top 1%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Co-authors
- Lydia E. KavrakiMark MollSachin ChittaSteve CousinsDavid ColemanNikolaus CorrellKonstantinos I. TsianosBenjamin J. Cohen
- Topics
- Robotic Path Planning Algorithms (22 papers)Robot Manipulation and Learning (11 papers)Robotics and Sensor-Based Localization (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Partner nations
- United StatesRomaniaGermany
In The Last Decade
Ioan A. Şucan
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 1.5k
- Control and Systems Engineering 1.1k
- Aerospace Engineering 755
- Artificial Intelligence 369
- Mechanical Engineering 308
Countries citing papers authored by Ioan A. Şucan
This map shows the geographic impact of Ioan A. Şucan'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 Ioan A. Şucan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioan A. Şucan more than expected).
Fields of papers citing papers by Ioan A. Şucan
This network shows the impact of papers produced by Ioan A. Şucan. 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 Ioan A. Şucan. The network helps show where Ioan A. Şucan may publish in the future.
Co-authorship network of co-authors of Ioan A. Şucan
This figure shows the co-authorship network connecting the top 25 collaborators of Ioan A. Şucan. A scholar is included among the top collaborators of Ioan A. Şucan 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 Ioan A. Şucan. Ioan A. Şucan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 80 | |
| 3 | 1 | |
| 4 | 54 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 48 | |
| 8 | 15 | |
| 9 | 24 | |
| 10 | 37 | |
| 11 | The Open Motion Planning Librarybreakdown → | 1014 |
| 12 | 321 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 0 | |
| 17 | 58 | |
| 18 | 18 | |
| 19 | Kinodynamic motion planning for high-dimensional physical systems | 1 |
| 20 | 62 |
About Ioan A. Şucan
Ioan A. Şucan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (22 papers), Robot Manipulation and Learning (11 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Control and Systems Engineering (1.1k citations) and Aerospace Engineering (755 citations). Ioan A. Şucan has collaborated with scholars based in United States, Romania and Germany. Frequent co-authors include Lydia E. Kavraki, Mark Moll, Sachin Chitta, Steve Cousins, David Coleman, Nikolaus Correll, Konstantinos I. Tsianos, Benjamin J. Cohen, Ryan Luna and Radu Bogdan Rusu. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics & Automation Magazine and Computer Science Review.
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.