Gianpiero Francesca

1.3k total citations
27 papers, 540 citations indexed

About

Gianpiero Francesca is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Gianpiero Francesca has authored 27 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Mechanical Engineering. Recurrent topics in Gianpiero Francesca's work include Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Gianpiero Francesca is often cited by papers focused on Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Gianpiero Francesca collaborates with scholars based in Belgium, France and Switzerland. Gianpiero Francesca's co-authors include Mauro Birattari, Lorenzo Garattoni, Manuele Brambilla, Arne Brutschy, Vito Trianni, Rui Dai, Srijan Das, Luca Minciullo, François Brémond and Andreagiovanni Reina and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Gianpiero Francesca

24 papers receiving 527 citations

Peers

Gianpiero Francesca
Rehan O’Grady Belgium
Nithin Mathews Belgium
Lorenzo Garattoni Belgium
Alexander Förster Switzerland
Christopher M. Cianci Switzerland
Jan Carlo Barca Australia
Phillip Walker United States
Melanie Schranz Austria
Giovanni Pini Belgium
Ian Horswill United States
Rehan O’Grady Belgium
Gianpiero Francesca
Citations per year, relative to Gianpiero Francesca Gianpiero Francesca (= 1×) peers Rehan O’Grady

Countries citing papers authored by Gianpiero Francesca

Since Specialization
Citations

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

Fields of papers citing papers by Gianpiero Francesca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianpiero Francesca

This figure shows the co-authorship network connecting the top 25 collaborators of Gianpiero Francesca. A scholar is included among the top collaborators of Gianpiero Francesca 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 Gianpiero Francesca. Gianpiero Francesca 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
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Dai, Rui, et al.. (2024). Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. Computer Vision and Image Understanding. 241. 103955–103955. 10 indexed citations
3.
Yang, Di, Yaohui Wang, Antitza Dantcheva, et al.. (2024). View-Invariant Skeleton Action Representation Learning via Motion Retargeting. International Journal of Computer Vision. 132(7). 2351–2366. 6 indexed citations
4.
Borghi, Guido, et al.. (2024). D-SPDH: Improving 3D Robot Pose Estimation in Sim2Real Scenario via Depth Data. IEEE Access. 12. 166660–166673.
5.
Ramos, David Garzón, et al.. (2024). Transferability in the Automatic Off-Line Design of Robot Swarms: From Sim-to-Real to Embodiment and Design-Method Transfer Across Different Platforms. IEEE Robotics and Automation Letters. 9(3). 2758–2765. 5 indexed citations
6.
Yang, Di, Yaohui Wang, Quan Kong, et al.. (2023). Self-Supervised Video Representation Learning via Latent Time Navigation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3118–3126. 2 indexed citations
7.
Francesca, Gianpiero, et al.. (2023). How Much Temporal Long-Term Context is Needed for Action Segmentation?. 10317–10327. 11 indexed citations
8.
Yang, Di, Yaohui Wang, Antitza Dantcheva, et al.. (2023). LAC - Latent Action Composition for Skeleton-based Action Segmentation. 13633–13644. 6 indexed citations
9.
Dai, Rui, Srijan Das, Luca Minciullo, et al.. (2022). Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2533–2550. 20 indexed citations
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Birattari, Mauro, Antoine Ligot, Manuele Brambilla, et al.. (2019). Automatic Off-Line Design of Robot Swarms: A Manifesto. Frontiers in Robotics and AI. 6. 59–59. 48 indexed citations
12.
Das, Srijan, et al.. (2019). Toyota Smarthome: Real-World Activities of Daily Living. 833–842. 101 indexed citations
13.
Das, Srijan, et al.. (2018). A Fusion of Appearance based CNNs and Temporal evolution of Skeleton with LSTM for Daily Living Action Recognition.. arXiv (Cornell University). 3 indexed citations
14.
Francesca, Gianpiero & Mauro Birattari. (2016). Automatic Design of Robot Swarms: Achievements and Challenges. Frontiers in Robotics and AI. 3. 87 indexed citations
15.
Francesca, Gianpiero, Manuele Brambilla, Arne Brutschy, et al.. (2015). AutoMoDe-Chocolate: automatic design of control software for robot swarms. Swarm Intelligence. 9(2-3). 125–152. 49 indexed citations
16.
Brutschy, Arne, Lorenzo Garattoni, Manuele Brambilla, et al.. (2015). The TAM: abstracting complex tasks in swarm robotics research. Swarm Intelligence. 9(1). 1–22. 14 indexed citations
17.
Francesca, Gianpiero, Manuele Brambilla, Arne Brutschy, Vito Trianni, & Mauro Birattari. (2014). AutoMoDe: A novel approach to the automatic design of control software for robot swarms. Swarm Intelligence. 8(2). 89–112. 95 indexed citations
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Francesca, Gianpiero, Antonella Santone, Gigliola Vaglini, & Maria Luisa Villani. (2011). Ant Colony Optimization for Deadlock Detection in Concurrent Systems. 108–117. 26 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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