Francesco Setti

1.1k total citations
49 papers, 536 citations indexed

About

Francesco Setti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Francesco Setti has authored 49 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Francesco Setti's work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Vision and Imaging (8 papers). Francesco Setti is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Vision and Imaging (8 papers). Francesco Setti collaborates with scholars based in Italy, United Kingdom and Austria. Francesco Setti's co-authors include Marco Cristani, Chiara Bassetti, Chris Russell, Alessio Del Bue, Irtiza Hasan, Fabio Galasso, Roberta Ferrario, Vittorio Murino, Riccardo Muradore and Oswald Lanz and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Francesco Setti

43 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Setti Italy 13 314 172 88 84 67 49 536
Matteo Leonetti United Kingdom 15 127 0.4× 262 1.5× 54 0.6× 52 0.6× 47 0.7× 40 535
Serhan Coşar United Kingdom 10 273 0.9× 188 1.1× 102 1.2× 56 0.7× 43 0.6× 20 500
Jennifer Casper United States 9 341 1.1× 145 0.8× 25 0.3× 155 1.8× 100 1.5× 15 961
Petr Novák Czechia 12 131 0.4× 162 0.9× 36 0.4× 80 1.0× 14 0.2× 32 587
Ransalu Senanayake United States 12 130 0.4× 121 0.7× 110 1.3× 22 0.3× 19 0.3× 37 423
Zhongcheng Wu China 13 166 0.5× 99 0.6× 170 1.9× 64 0.8× 11 0.2× 55 543
C. Laugier France 10 252 0.8× 67 0.4× 47 0.5× 40 0.5× 85 1.3× 25 461
David J. Bruemmer United States 14 180 0.6× 132 0.8× 20 0.2× 45 0.5× 40 0.6× 42 671
Curtis W. Nielsen United States 12 241 0.8× 129 0.8× 33 0.4× 28 0.3× 38 0.6× 20 862
Yong–Lu Li China 14 800 2.5× 338 2.0× 23 0.3× 117 1.4× 23 0.3× 33 1.0k

Countries citing papers authored by Francesco Setti

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Setti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Setti

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Setti. A scholar is included among the top collaborators of Francesco Setti 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 Francesco Setti. Francesco Setti 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.
2.
Setti, Francesco, et al.. (2025). A Comprehensive Survey on Deep Learning-based Predictive Maintenance. ACM Transactions on Embedded Computing Systems. 25(2). 1–43. 5 indexed citations
3.
Wang, Yiming, Alberto Castellini, Alessio Del Bue, et al.. (2024). Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11047–11058.
4.
Setti, Francesco, et al.. (2024). Enhancing Split Computing and Early Exit Applications through Predefined Sparsity. 1–8. 2 indexed citations
5.
Aqeel, Muhammad, et al.. (2024). Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection. 409–416. 3 indexed citations
6.
Setti, Francesco, Giacomo Handjaras, Davide Bottari, et al.. (2023). Vision and hearing share a common representation in superior temporal cortex despite the lack of multisensory experience. International Journal of Psychophysiology. 188. 63–64. 1 indexed citations
7.
Rosenhahn, Bodo, et al.. (2023). Markerless human pose estimation for biomedical applications: a survey. Frontiers in Computer Science. 5. 12 indexed citations
8.
Setti, Francesco, et al.. (2021). A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces. IEEE Transactions on Human-Machine Systems. 51(6). 725–733. 30 indexed citations
9.
Castellini, Alberto, Alessio Del Bue, Alessandro Farinelli, et al.. (2021). POMP++: Pomcp-based Active Visual Search in unknown indoor environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1523–1530. 7 indexed citations
10.
Rossi, Giacomo De, et al.. (2021). A Time-of-Flight Stereoscopic Endoscope for Anatomical 3D Reconstruction. 1–7. 3 indexed citations
11.
Rossi, Giacomo De, Federica Ferraguti, Francesco Setti, et al.. (2021). A First Evaluation of a Multi-Modal Learning System to Control Surgical Assistant Robots via Action Segmentation. IEEE Transactions on Medical Robotics and Bionics. 3(3). 714–724. 21 indexed citations
12.
Rossi, Giacomo De, Federica Ferraguti, Francesco Setti, et al.. (2020). Integrating Model Predictive Control and Dynamic Waypoints Generation for Motion Planning in Surgical Scenario. Institutional Research Information System University of Ferrara (University of Ferrara). 3157–3163. 8 indexed citations
13.
Setti, Francesco, et al.. (2019). Berrick: a low-cost robotic head platform for human-robot interaction. 559–566. 5 indexed citations
14.
Hasan, Irtiza, et al.. (2018). MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses. IRIS Research product catalog (Sapienza University of Rome). 81 indexed citations
15.
Hasan, Irtiza, et al.. (2018). "Seeing is Believing": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention. IRIS Research product catalog (Sapienza University of Rome). 1178–1185. 11 indexed citations
16.
Setti, Francesco, et al.. (2015). Garment-based motion capture (GaMoCap): high-density capture of human shape in motion. Machine Vision and Applications. 26(7-8). 955–973. 5 indexed citations
17.
Rota, Paolo, Francesco Setti, Chiara Bassetti, et al.. (2015). The S-HOCK dataset: Analyzing crowds at the stadium. Institutional Research Information System (Università degli Studi di Trento). 2039–2047. 30 indexed citations
18.
Setti, Francesco, Chris Russell, Chiara Bassetti, & Marco Cristani. (2015). F-Formation Detection: Individuating Free-Standing Conversational Groups in Images. PLoS ONE. 10(5). e0123783–e0123783. 93 indexed citations
19.
Setti, Francesco, Hayley Hung, & Marco Cristani. (2013). Group detection in still images by F-formation modeling: A comparative study. 22 indexed citations
20.
Afanasyev, Ilya, et al.. (2012). 3D HUMAN BODY POSE ESTIMATION BY SUPERQUADRICS. 294–302. 4 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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