Samuel Rota Bulò

6.2k total citations · 1 hit paper
79 papers, 3.3k citations indexed

About

Samuel Rota Bulò is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Samuel Rota Bulò has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Samuel Rota Bulò's work include Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (13 papers) and Advanced Vision and Imaging (13 papers). Samuel Rota Bulò is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (13 papers) and Advanced Vision and Imaging (13 papers). Samuel Rota Bulò collaborates with scholars based in Italy, United States and Austria. Samuel Rota Bulò's co-authors include Peter Kontschieder, Marcello Pelillo, Elisa Ricci, Lorenzo Porzi, Barbara Caputo, Antonio Criminisi, Madalina Fiterau, Horst Bischof, Andrea Torsello and Massimiliano Mancini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neurology.

In The Last Decade

Samuel Rota Bulò

78 papers receiving 3.2k citations

Hit Papers

The Mapillary Vistas Data... 2017 2026 2020 2023 2017 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
Samuel Rota Bulò Italy 29 2.1k 1.3k 308 255 234 79 3.3k
Jonathan Masci Switzerland 15 1.9k 0.9× 1.2k 0.9× 127 0.4× 549 2.2× 372 1.6× 26 3.8k
Zhenguo Li China 30 2.0k 1.0× 1.4k 1.1× 169 0.5× 109 0.4× 311 1.3× 125 3.1k
Fan Yang China 27 1.5k 0.7× 741 0.6× 279 0.9× 121 0.5× 228 1.0× 225 3.6k
Xiaonan Luo China 33 2.0k 1.0× 1.1k 0.8× 271 0.9× 387 1.5× 493 2.1× 344 4.5k
Jiquan Ngiam United States 12 1.9k 0.9× 1.3k 1.0× 275 0.9× 176 0.7× 183 0.8× 16 3.4k
François Fleuret Switzerland 29 3.2k 1.5× 1.5k 1.1× 504 1.6× 106 0.4× 207 0.9× 93 4.3k
Jianke Zhu China 31 2.9k 1.4× 1.1k 0.8× 522 1.7× 146 0.6× 432 1.8× 109 4.1k
Changhu Wang China 29 3.6k 1.7× 1.3k 1.0× 375 1.2× 156 0.6× 538 2.3× 104 4.8k
Shiji Song China 29 1.4k 0.7× 1.3k 1.0× 269 0.9× 73 0.3× 284 1.2× 111 4.4k
Xiao Bai China 40 2.9k 1.3× 1.5k 1.1× 455 1.5× 363 1.4× 973 4.2× 161 4.9k

Countries citing papers authored by Samuel Rota Bulò

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Rota Bulò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Rota Bulò. 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 Samuel Rota Bulò. The network helps show where Samuel Rota Bulò may publish in the future.

Co-authorship network of co-authors of Samuel Rota Bulò

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Rota Bulò. A scholar is included among the top collaborators of Samuel Rota Bulò 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 Samuel Rota Bulò. Samuel Rota Bulò 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.
Bulò, Samuel Rota, et al.. (2025). Hardware-Rasterized Ray-Based Gaussian Splatting. 485–494. 1 indexed citations
2.
Schwarz, K, et al.. (2024). MultiDiff: Consistent Novel View Synthesis from a Single Image. 10258–10268. 2 indexed citations
3.
Sarlin, Paul-Edouard, Daniel DeTone, Tsun-Yi Yang, et al.. (2023). OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. 21632–21642. 45 indexed citations
4.
Sun, Min, et al.. (2023). Dense Prediction with Attentive Feature Aggregation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 97–106. 2 indexed citations
5.
Roy, Subhankar, Aliaksandr Siarohin, Enver Sangineto, et al.. (2019). Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. IRIS UNIMORE (University of Modena and Reggio Emilia). 89 indexed citations
6.
Ricci, Elisa, Samuel Rota Bulò, Cees G. M. Snoek, et al.. (2019). Image Analysis and Processing – ICIAP 2019 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part II. View. 8 indexed citations
7.
Varadarajan, Jagannadan, Ramanathan Subramanian, Samuel Rota Bulò, et al.. (2017). Joint Estimation of Human Pose and Conversational Groups from Social Scenes. International Journal of Computer Vision. 126(2-4). 410–429. 19 indexed citations
8.
Carlucci, Fabio Maria, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, & Samuel Rota Bulò. (2017). AutoDIAL: Automatic Domain Alignment Layers. Institutional Research Information System (Università degli Studi di Trento). 176 indexed citations
9.
Bulò, Samuel Rota, Battista Biggio, Ignazio Pillai, Marcello Pelillo, & Fabio Roli. (2016). Randomized Prediction Games for Adversarial Machine Learning. IEEE Transactions on Neural Networks and Learning Systems. 28(11). 2466–2478. 40 indexed citations
10.
Sarkar, Advait, Cecily Morrison, Jonas F. Dorn, et al.. (2016). Setwise Comparison. 261–271. 16 indexed citations
11.
Porzi, Lorenzo, Samuel Rota Bulò, Adrián Peñate-Sánchez, Elisa Ricci, & Francesc Moreno-Noguer. (2016). Learning Depth-Aware Deep Representations for Robotic Perception. IEEE Robotics and Automation Letters. 2(2). 468–475. 21 indexed citations
12.
Kontschieder, Peter, Madalina Fiterau, Antonio Criminisi, & Samuel Rota Bulò. (2015). Deep Neural Decision Forests [Winner of the David Marr Prize 2015]. 5 indexed citations
13.
Ricci, Elisa, Jagannadan Varadarajan, Ramanathan Subramanian, et al.. (2015). Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos. View. 4660–4668. 34 indexed citations
14.
Porzi, Lorenzo, Samuel Rota Bulò, Bruno Lepri, & Elisa Ricci. (2015). Predicting and Understanding Urban Perception with Convolutional Neural Networks. Institutional Research Information System (Università degli Studi di Trento). 139–148. 100 indexed citations
15.
Kontschieder, Peter, Samuel Rota Bulò, Antonio Criminisi, et al.. (2012). Context-Sensitive Decision Forests for Object Detection. ARCA (Università Ca' Foscari Venezia). 25. 431–439. 22 indexed citations
16.
Kontschieder, Peter, Samuel Rota Bulò, Michael Donoser, Marcello Pelillo, & Horst Bischof. (2012). Evolutionary Hough Games for coherent object detection. Computer Vision and Image Understanding. 116(11). 1149–1158. 10 indexed citations
17.
Bulò, Samuel Rota, Peter Kontschieder, Marcello Pelillo, & Horst Bischof. (2012). Structured Local Predictors for image labelling. ARCA (Università Ca' Foscari Venezia). 3530–3537. 6 indexed citations
18.
Marin, Andrea & Samuel Rota Bulò. (2011). Explicit solutions for queues with hypo-exponential service time and applications to product-form analysis. 166–175. 4 indexed citations
19.
Kontschieder, Peter, Samuel Rota Bulò, Horst Bischof, & Marcello Pelillo. (2011). Structured class-labels in random forests for semantic image labelling. Zenodo (CERN European Organization for Nuclear Research). 143 indexed citations
20.
Bulò, Samuel Rota & Marcello Pelillo. (2009). A Game-Theoretic Approach to Hypergraph Clustering. Neural Information Processing Systems. 22. 1571–1579. 46 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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