Emanuele Rodolà

7.0k total citations · 2 hit papers
82 papers, 3.2k citations indexed

About

Emanuele Rodolà is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Emanuele Rodolà has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 40 papers in Computational Mechanics and 17 papers in Aerospace Engineering. Recurrent topics in Emanuele Rodolà's work include 3D Shape Modeling and Analysis (39 papers), Advanced Vision and Imaging (20 papers) and Robotics and Sensor-Based Localization (17 papers). Emanuele Rodolà is often cited by papers focused on 3D Shape Modeling and Analysis (39 papers), Advanced Vision and Imaging (20 papers) and Robotics and Sensor-Based Localization (17 papers). Emanuele Rodolà collaborates with scholars based in Italy, Switzerland and Germany. Emanuele Rodolà's 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 and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Emanuele Rodolà

79 papers receiving 3.1k citations

Hit Papers

Geometric Deep Learning on Graphs and Manifolds Using Mix... 2017 2026 2020 2023 2017 2019 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emanuele Rodolà Italy 26 1.8k 1.2k 666 472 471 82 3.2k
Davide Boscaini Italy 7 711 0.4× 456 0.4× 562 0.8× 83 0.2× 164 0.3× 20 1.8k
Alex Bronstein Israel 28 1.8k 1.0× 772 0.7× 516 0.8× 317 0.7× 236 0.5× 100 2.8k
Amnon Shashua Israel 37 3.7k 2.1× 393 0.3× 1.2k 1.8× 709 1.5× 280 0.6× 105 5.4k
Michael Lindenbaum Israel 27 1.9k 1.1× 616 0.5× 518 0.8× 411 0.9× 257 0.5× 93 3.0k
Nancy M. Amato United States 40 3.3k 1.9× 343 0.3× 777 1.2× 1.7k 3.7× 587 1.2× 221 5.3k
Sunil Arya United States 18 1.7k 1.0× 353 0.3× 622 0.9× 582 1.2× 737 1.6× 47 3.1k
R.A. Jarvis Australia 17 1.1k 0.6× 151 0.1× 401 0.6× 542 1.1× 193 0.4× 69 2.6k
Sebastian Nowozin United Kingdom 34 2.7k 1.5× 356 0.3× 1.7k 2.6× 403 0.9× 54 0.1× 77 4.4k
David Page United States 22 918 0.5× 226 0.2× 348 0.5× 228 0.5× 174 0.4× 107 2.1k
Xiangyang Ji China 35 3.3k 1.9× 230 0.2× 1.1k 1.6× 798 1.7× 73 0.2× 252 5.3k

Countries citing papers authored by Emanuele Rodolà

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Scardapane, Simone, et al.. (2025). Task Singular Vectors: Reducing Task Interference in Model Merging. IRIS Research product catalog (Sapienza University of Rome). 18695–18705. 1 indexed citations
2.
Mariani, Giorgio, et al.. (2025). COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. ARCA (Università Ca' Foscari Venezia). 1–5. 3 indexed citations
3.
Rodolà, Emanuele, et al.. (2024). Geometric epitope and paratope prediction. Bioinformatics. 40(7). 1 indexed citations
4.
Mariani, Giorgio, et al.. (2024). Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. ARCA (Università Ca' Foscari Venezia). 6980–6984. 2 indexed citations
5.
Klein, Jonathan, et al.. (2023). A Physically-inspired Approach to the Simulation of Plant Wilting. 1–8. 3 indexed citations
7.
Rodolà, Emanuele, et al.. (2023). Sparse Vicious Attacks on Graph Neural Networks. IEEE Transactions on Artificial Intelligence. 5(5). 2293–2303. 3 indexed citations
8.
Santilli, Andrea, et al.. (2023). Multimodal Neural Databases. arXiv (Cornell University). 2619–2628. 5 indexed citations
9.
Rodolà, Emanuele, et al.. (2023). Exploiting Music Source Separation For Singing Voice Detection. 1–6.
10.
Giordani, Taira, et al.. (2022). Certification of Gaussian Boson Sampling via graphs feature vectors and kernels. Quantum Science and Technology. 8(1). 15005–15005. 3 indexed citations
11.
Cosmo, Luca, et al.. (2021). Universal Spectral Adversarial Attacks for Deformable Shapes. ARCA (Università Ca' Foscari Venezia). 7 indexed citations
12.
Marin, Riccardo, Simone Melzi, Emanuele Rodolà, & Umberto Castellani. (2020). FARM: Functional Automatic Registration Method for 3D Human Bodies. BOA (University of Milano-Bicocca). 35 indexed citations
13.
Marin, Riccardo, et al.. (2020). Instant recovery of shape from spectrum via latent space connections. arXiv (Cornell University).
14.
Ovsjanikov, Maks, et al.. (2019). Correspondence-free region localization for partial shape similarity via hamiltonian spectrum alignment. IRIS Research product catalog (Sapienza University of Rome). 12 indexed citations
15.
Avola, Danilo, et al.. (2019). 2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs. IEEE Transactions on Multimedia. 22(10). 2481–2496. 68 indexed citations
16.
Rodolà, Emanuele, Michael Moeller, & Daniel Cremers. (2017). Regularized Pointwise Map Recovery from Functional Correspondence. Computer Graphics Forum. 36(8). 700–711. 15 indexed citations
17.
Cosmo, Luca, Emanuele Rodolà, Michael M. Bronstein, et al.. (2016). Partial Matching of Deformable Shapes. IRIS Research product catalog (Sapienza University of Rome). 21 indexed citations
18.
Bergamasco, Filippo, Andrea Albarelli, Emanuele Rodolà, & Andrea Torsello. (2011). RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience. IRIS Research product catalog (Sapienza University of Rome). 113–120. 79 indexed citations
19.
Albarelli, Andrea, Emanuele Rodolà, & Andrea Torsello. (2010). Robust Game-Theoretic Inlier Selection for Bundle Adjustment. ARCA (Università Ca' Foscari Venezia). 1–8. 3 indexed citations
20.
Albarelli, Andrea, Emanuele Rodolà, Laura Cavallarin, & Andrea Torsello. (2010). Robust Figure Extraction on Textured Background: A Game-Theoretic Approach. IRIS Research product catalog (Sapienza University of Rome). 1. 360–363. 3 indexed citations

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.

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