Dorian Gálvez‐López
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 2%
- Geology top 1%
- Co-authors
- Juan D. TardósJ. M. M. MontielMoritz TenorthMichael BeetzJavier CiveraRené van de MolengraftOliver ZweigleKai Häußermann
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Robotics and Sensor-Based Localization (8 papers)Robotics and Automated Systems (4 papers)
- Journals
- IEEE Transactions on RoboticsRobotics and Autonomous SystemsIEEE Transactions on Automation Science and Engineering
- Partner nations
- SpainGermanySwitzerland
In The Last Decade
Dorian Gálvez‐López
11 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Aerospace Engineering 1.5k
- Computer Vision and Pattern Recognition 1.3k
- Electrical and Electronic Engineering 421
- Control and Systems Engineering 418
- Geology 340
Countries citing papers authored by Dorian Gálvez‐López
This map shows the geographic impact of Dorian Gálvez‐López'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 Dorian Gálvez‐López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorian Gálvez‐López more than expected).
Fields of papers citing papers by Dorian Gálvez‐López
This network shows the impact of papers produced by Dorian Gálvez‐López. 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 Dorian Gálvez‐López. The network helps show where Dorian Gálvez‐López may publish in the future.
Co-authorship network of co-authors of Dorian Gálvez‐López
This figure shows the co-authorship network connecting the top 25 collaborators of Dorian Gálvez‐López. A scholar is included among the top collaborators of Dorian Gálvez‐López 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 Dorian Gálvez‐López. Dorian Gálvez‐López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | 76 | |
| 3 | 17 | |
| 4 | 64 | |
| 5 | Bags of Binary Words for Fast Place Recognition in Image Sequencesbreakdown → | 1227 |
| 6 | 13 | |
| 7 | 80 | |
| 8 | RoboEarthbreakdown → | 301 |
| 9 | 91 | |
| 10 | 17 | |
| 11 | 23 |
About Dorian Gálvez‐López
Dorian Gálvez‐López is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers) and Robotics and Automated Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Geology (340 citations) and Aerospace Engineering (1.5k citations). Dorian Gálvez‐López has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include Juan D. Tardós, J. M. M. Montiel, Moritz Tenorth, Michael Beetz, Javier Civera, René van de Molengraft, Oliver Zweigle, Kai Häußermann, Markus Waibel and Alexander Perzylo. Their work appears in journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and IEEE Transactions on Automation Science and Engineering.
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.