Aitor Aldomà
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Geology top 2%
- Control and Systems Engineering top 5%
- Environmental Engineering top 10%
- Co-authors
- Markus VinczeRadu Bogdan RusuSuat GedikliWalter WohlkingerFederico TombariDavid GossowBernhard ZeislChristian Potthast
- Topics
- Robotics and Sensor-Based Localization (10 papers)3D Surveying and Cultural Heritage (7 papers)Advanced Vision and Imaging (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Robotics & Automation MagazineArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
- Partner nations
- AustriaItalyUnited States
In The Last Decade
Aitor Aldomà
11 papers receiving 666 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 412
- Aerospace Engineering 408
- Geology 227
- Control and Systems Engineering 206
- Environmental Engineering 94
Countries citing papers authored by Aitor Aldomà
This map shows the geographic impact of Aitor Aldomà'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 Aitor Aldomà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aitor Aldomà more than expected).
Fields of papers citing papers by Aitor Aldomà
This network shows the impact of papers produced by Aitor Aldomà. 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 Aitor Aldomà. The network helps show where Aitor Aldomà may publish in the future.
Co-authorship network of co-authors of Aitor Aldomà
This figure shows the co-authorship network connecting the top 25 collaborators of Aitor Aldomà. A scholar is included among the top collaborators of Aitor Aldomà 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 Aitor Aldomà. Aitor Aldomà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 24 | |
| 3 | 10 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 92 | |
| 7 | 22 | |
| 8 | 14 | |
| 9 | 264 | |
| 10 | 204 | |
| 11 | 5 |
About Aitor Aldomà
Aitor Aldomà is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 11 papers that have together received 686 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), 3D Surveying and Cultural Heritage (7 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Geology (227 citations), Computer Vision and Pattern Recognition (412 citations) and Aerospace Engineering (408 citations). Aitor Aldomà has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Markus Vincze, Radu Bogdan Rusu, Suat Gedikli, Walter Wohlkinger, Federico Tombari, David Gossow, Bernhard Zeisl, Christian Potthast, Nico Blodow and Gary Bradski. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics & Automation Magazine and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.