Raluca Scona
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Sensor-Based Localization 8
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- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Maurice F. Fallon (3 shared papers)Yvan Pétillot (3 shared papers)Mariano Jaimez (1 shared paper)Daniel Cremers (1 shared paper)Andrew J. Davison (4 shared papers)Simona Nobili (2 shared papers)Hidenobu Matsuki (3 shared papers)Jan Czarnowski (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Future Generation Computer Systems (1 paper)Edinburgh Research Explorer (University of Edinburgh) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United KingdomMalaysiaPoland
In The Last Decade
Raluca Scona
9 papers receiving 315 citations
Peers
Comparison fields: 5 of 36
- Geology 83
- Aerospace Engineering 291
- Computer Vision and Pattern Recognition 228
- Ocean Engineering 34
- Environmental Engineering 18
Countries citing papers authored by Raluca Scona
This map shows the geographic impact of Raluca Scona'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 Raluca Scona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raluca Scona more than expected).
Fields of papers citing papers by Raluca Scona
This network shows the impact of papers produced by Raluca Scona. 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 Raluca Scona. The network helps show where Raluca Scona may publish in the future.
Co-authors
The 19 scholars most cited alongside Raluca Scona, 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 | 2018 | 164 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 40 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 25 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 3 | |
| 8 | 2016 | 3 | |
| 9 | 2022 | 2 |
About Raluca Scona
Raluca Scona is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Ocean Engineering and Biomedical Engineering, having authored 9 papers that have together received 322 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (5 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Robotic Locomotion and Control (2 papers), Underwater Vehicles and Communication Systems (1 paper), Gene Regulatory Network Analysis (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Geology (83 citations), Aerospace Engineering (291 citations), Computer Vision and Pattern Recognition (228 citations), Ocean Engineering (34 citations) and Environmental Engineering (18 citations). Raluca Scona has collaborated with scholars based in United Kingdom, Malaysia and Poland. Frequent co-authors include Maurice F. Fallon, Yvan Pétillot, Mariano Jaimez, Daniel Cremers, Andrew J. Davison, Simona Nobili, Hidenobu Matsuki, Jan Czarnowski, Sen Wang and Yu Cao. Their work appears in journals such as IEEE Robotics and Automation Letters, Future Generation Computer Systems, Edinburgh Research Explorer (University of Edinburgh) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.