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
- Human Pose and Action Recognition 1
- Co-authors
- Maurice Fallon (3 shared papers)Yvan Pétillot (3 shared papers)Mariano Jaimez (1 shared paper)Daniel Cremers (1 shared paper)Simona Nobili (2 shared papers)Andrew J. Davison (4 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)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Edinburgh Research Explorer (1 paper)
- Partner nations
- United KingdomGermanyMalaysia
In The Last Decade
Raluca Scona
9 papers receiving 278 citations
Peers
Comparison fields: 5 of 34
- Geology 75
- Aerospace Engineering 259
- Computer Vision and Pattern Recognition 202
- Ocean Engineering 34
- Environmental Engineering 16
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 | 146 | |
| 2 | 2021 | 38 | |
| 3 | 2021 | 37 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 23 | |
| 6 | 2023 | 8 | |
| 7 | 2016 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2022 | 1 |
About Raluca Scona
Raluca Scona is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Biomedical Engineering and Molecular Biology, having authored 9 papers that have together received 284 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), Human Pose and Action Recognition (1 paper), Gene Regulatory Network Analysis (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Geology (75 citations), Aerospace Engineering (259 citations), Computer Vision and Pattern Recognition (202 citations), Ocean Engineering (34 citations) and Environmental Engineering (16 citations). Raluca Scona has collaborated with scholars based in United Kingdom, Germany and Malaysia. Frequent co-authors include Maurice Fallon, Yvan Pétillot, Mariano Jaimez, Daniel Cremers, Simona Nobili, Andrew J. Davison, Hidenobu Matsuki, Jan Czarnowski, Yu Cao and Sen Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, Future Generation Computer Systems, Oxford University Research Archive (ORA) (University of Oxford), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Edinburgh Research Explorer.
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.