Eduard Trulls
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence
- Geology top 10%
- Computational Mechanics
- Co-authors
- Kwang Moo YiAndrea TagliasacchiWei JiangPascal FuaJan HosangWeiwei SunY. OnoAlberto Sanfeliu
- Topics
- Robotics and Sensor-Based Localization (8 papers)Advanced Vision and Imaging (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- Journal of Field Robotics2021 IEEE/CVF International Conference on Computer Vision (ICCV)Infoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandSpainCanada
In The Last Decade
Eduard Trulls
12 papers receiving 548 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 476
- Aerospace Engineering 279
- Artificial Intelligence 63
- Geology 46
- Computational Mechanics 35
Countries citing papers authored by Eduard Trulls
This map shows the geographic impact of Eduard Trulls'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 Eduard Trulls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Trulls more than expected).
Fields of papers citing papers by Eduard Trulls
This network shows the impact of papers produced by Eduard Trulls. 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 Eduard Trulls. The network helps show where Eduard Trulls may publish in the future.
Co-authorship network of co-authors of Eduard Trulls
This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Trulls. A scholar is included among the top collaborators of Eduard Trulls 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 Eduard Trulls. Eduard Trulls is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 169 | |
| 3 | DISK: Learning local features with policy gradient | 5 |
| 4 | 116 | |
| 5 | 13 | |
| 6 | LF-Net: Learning Local Features from Images | 87 |
| 7 | 59 | |
| 8 | 11 | |
| 9 | 33 | |
| 10 | 35 | |
| 11 | 8 | |
| 12 | 22 |
About Eduard Trulls
Eduard Trulls is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 562 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (476 citations), Aerospace Engineering (279 citations) and Geology (46 citations). Eduard Trulls has collaborated with scholars based in Switzerland, Spain and Canada. Frequent co-authors include Kwang Moo Yi, Andrea Tagliasacchi, Wei Jiang, Pascal Fua, Jan Hosang, Weiwei Sun, Y. Ono, Alberto Sanfeliu, James Hays and Serge Belongie. Their work appears in journals such as Journal of Field Robotics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.