Emanuele Rodolà
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Co-authors
- Michael M. BronsteinDavide BoscainiFederico MontiAndrea TorselloJonathan MasciJan SvobodaAndrea AlbarelliDaniel Cremers
- Topics
- 3D Shape Modeling and Analysis (39 papers)Advanced Vision and Imaging (20 papers)Robotics and Sensor-Based Localization (17 papers)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Emanuele Rodolà
79 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 1.8k
- Computational Mechanics 1.2k
- Artificial Intelligence 666
- Aerospace Engineering 472
- Computer Graphics and Computer-Aided Design 471
Countries citing papers authored by Emanuele Rodolà
This map shows the geographic impact of Emanuele Rodolà'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 Emanuele Rodolà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Rodolà more than expected).
Fields of papers citing papers by Emanuele Rodolà
This network shows the impact of papers produced by Emanuele Rodolà. 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 Emanuele Rodolà. The network helps show where Emanuele Rodolà may publish in the future.
Co-authorship network of co-authors of Emanuele Rodolà
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Rodolà. A scholar is included among the top collaborators of Emanuele Rodolà 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 Emanuele Rodolà. Emanuele Rodolà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 35 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 21 | |
| 18 | 79 | |
| 19 | 18 | |
| 20 | Robust Game-Theoretic Inlier Selection for Bundle Adjustment | 3 |
About Emanuele Rodolà
Emanuele Rodolà is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 82 papers that have together received 3.2k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (39 papers), Advanced Vision and Imaging (20 papers) and Robotics and Sensor-Based Localization (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (471 citations), Computer Vision and Pattern Recognition (1.8k citations) and Geology (340 citations). Emanuele Rodolà has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Michael M. Bronstein, Davide Boscaini, Federico Monti, Andrea Torsello, Jonathan Masci, Jan Svoboda, Andrea Albarelli, Daniel Cremers, Filippo Bergamasco and Luca Cosmo. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.
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.