Federica Arrigoni

488 total citations
23 papers, 217 citations indexed

About

Federica Arrigoni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Federica Arrigoni has authored 23 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 4 papers in Computational Mechanics. Recurrent topics in Federica Arrigoni's work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Federica Arrigoni is often cited by papers focused on Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Federica Arrigoni collaborates with scholars based in Italy, Czechia and United States. Federica Arrigoni's co-authors include Andrea Fusiello, Beatrice Rossi, Pasqualina Fragneto, Eleonora Maset, Elisa Ricci, Tomáš Pajdla, Luca Magri, Cigdem Beyan, Enrico Fini and Shi‐Min Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Federica Arrigoni

22 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Arrigoni Italy 8 156 75 59 33 29 23 217
Sohaib Khan Pakistan 9 270 1.7× 86 1.1× 34 0.6× 12 0.4× 25 0.9× 18 313
Xianfang Zeng China 9 222 1.4× 75 1.0× 22 0.4× 27 0.8× 57 2.0× 15 290
Scott Satkin United States 7 274 1.8× 111 1.5× 22 0.4× 43 1.3× 38 1.3× 11 321
Jean-Yves Bouguet United States 7 344 2.2× 58 0.8× 78 1.3× 46 1.4× 34 1.2× 10 403
In Kyu Park South Korea 11 276 1.8× 42 0.6× 24 0.4× 11 0.3× 23 0.8× 29 330
Pau Gargallo France 8 308 2.0× 144 1.9× 35 0.6× 38 1.2× 20 0.7× 14 356
Klas Josephson Sweden 7 248 1.6× 168 2.2× 43 0.7× 23 0.7× 22 0.8× 9 296
Diego Macrini Canada 10 396 2.5× 49 0.7× 185 3.1× 31 0.9× 46 1.6× 12 463
Mathias Parger Austria 8 217 1.4× 20 0.3× 110 1.9× 14 0.4× 31 1.1× 11 316
Minmin Gong China 8 304 1.9× 30 0.4× 188 3.2× 27 0.8× 14 0.5× 11 424

Countries citing papers authored by Federica Arrigoni

Since Specialization
Citations

This map shows the geographic impact of Federica Arrigoni'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 Federica Arrigoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Arrigoni more than expected).

Fields of papers citing papers by Federica Arrigoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Arrigoni. 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 Federica Arrigoni. The network helps show where Federica Arrigoni may publish in the future.

Co-authorship network of co-authors of Federica Arrigoni

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Arrigoni. A scholar is included among the top collaborators of Federica Arrigoni 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 Federica Arrigoni. Federica Arrigoni 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.
Magri, Luca, et al.. (2024). Ensemble clustering via synchronized relabelling. Pattern Recognition Letters. 184. 176–182.
2.
Arrigoni, Federica, Tomáš Pajdla, & Andrea Fusiello. (2023). Viewing Graph Solvability in Practice. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 8113–8121. 1 indexed citations
3.
Menapace, Willi, Federica Arrigoni, Hao Tang, et al.. (2023). Interactive Neural Painting. Computer Vision and Image Understanding. 235. 103778–103778. 1 indexed citations
4.
Zara, Giacomo, et al.. (2023). Rotation Synchronization via Deep Matrix Factorization. Iris (University of Trento). 2113–2119. 1 indexed citations
5.
Magri, Luca, et al.. (2023). Quantum Multi-Model Fitting. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 5 indexed citations
6.
Fini, Enrico, et al.. (2022). Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. 2022 26th International Conference on Pattern Recognition (ICPR). 2589–2596. 17 indexed citations
7.
Arrigoni, Federica, Andrea Fusiello, Roméo Rizzi, Elisa Ricci, & Tomáš Pajdla. (2022). Revisiting Viewing Graph Solvability: An Effective Approach Based on Cycle Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3271–3284. 4 indexed citations
8.
Arrigoni, Federica, Andrea Fusiello, Elisa Ricci, & Tomáš Pajdla. (2021). Viewing Graph Solvability via Cycle Consistency. Institutional Research Information System (University of Udine). 7 indexed citations
9.
Magri, Luca, et al.. (2021). Synchronization of Group-labelled Multi-graphs. Institutional Research Information System (University of Udine). 1 indexed citations
10.
Magri, Luca, et al.. (2021). Synchronization of Group-labelled Multi-graphs. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 31. 6433–6443. 1 indexed citations
11.
Huang, Jiahui, He Wang, Tolga Birdal, et al.. (2021). MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. Iris (University of Trento). 7104–7114. 17 indexed citations
12.
Arrigoni, Federica. (2019). Robust motion segmentation from pairwise matches. Iris (University of Trento). 6 indexed citations
13.
Arrigoni, Federica & Andrea Fusiello. (2019). Synchronization Problems in Computer Vision with Closed-Form Solutions. International Journal of Computer Vision. 128(1). 26–52. 14 indexed citations
14.
Arrigoni, Federica & Tomáš Pajdla. (2019). Motion Segmentation via Synchronization. Institutional Research Information System (Università degli Studi di Trento). 2. 4280–4290. 7 indexed citations
15.
Arrigoni, Federica & Andrea Fusiello. (2018). Bearing-Based Network Localizability: A Unifying View. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2049–2069. 9 indexed citations
16.
Arrigoni, Federica, Beatrice Rossi, Pasqualina Fragneto, & Andrea Fusiello. (2018). Robust synchronization in SO(3) and SE(3) via low-rank and sparse matrix decomposition. Computer Vision and Image Understanding. 174. 95–113. 32 indexed citations
17.
Maset, Eleonora, Federica Arrigoni, & Andrea Fusiello. (2017). Practical and Efficient Multi-view Matching. Institutional Research Information System (University of Udine). 4578–4586. 39 indexed citations
18.
Arrigoni, Federica, Andrea Fusiello, & Beatrice Rossi. (2016). Camera Motion from Group Synchronization. Institutional Research Information System (University of Udine). 546–555. 14 indexed citations
19.
Arrigoni, Federica, et al.. (2014). Robust Global Motion Estimation with Matrix Completion. SHILAP Revista de lepidopterología. XL-5. 63–70. 6 indexed citations
20.
Arrigoni, Federica, Luca Magri, Beatrice Rossi, Pasqualina Fragneto, & Andrea Fusiello. (2014). Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix Decomposition. Institutional Research Information System (University of Udine). 491–498. 25 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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