Claudio Piciarelli

2.5k total citations · 1 hit paper
54 papers, 1.4k citations indexed

About

Claudio Piciarelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Claudio Piciarelli has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Claudio Piciarelli's work include Video Surveillance and Tracking Methods (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Time Series Analysis and Forecasting (10 papers). Claudio Piciarelli is often cited by papers focused on Video Surveillance and Tracking Methods (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Time Series Analysis and Forecasting (10 papers). Claudio Piciarelli collaborates with scholars based in Italy and Austria. Claudio Piciarelli's co-authors include Gian Luca Foresti, Christian Micheloni, Niki Martinel, Daniele Pannone, Danilo Avola, Luigi Cinque, Lauro Snidaro, Pankaj Kumar Mishra, Bernhard Rinner and Alessio Fagioli and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and Sensors.

In The Last Decade

Claudio Piciarelli

52 papers receiving 1.4k citations

Hit Papers

Trajectory-Based Anomalous Event Detection 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Piciarelli Italy 21 876 658 292 212 199 54 1.4k
Christian Micheloni Italy 28 1.8k 2.0× 649 1.0× 364 1.2× 274 1.3× 261 1.3× 130 2.6k
Shanshan Zhang China 22 2.3k 2.6× 947 1.4× 159 0.5× 207 1.0× 132 0.7× 91 2.9k
Umesh Chandra Pati India 18 605 0.7× 278 0.4× 186 0.6× 122 0.6× 232 1.2× 112 1.3k
Aidong Men China 18 574 0.7× 233 0.4× 229 0.8× 214 1.0× 199 1.0× 144 1.2k
Shoumeng Yan China 8 1.2k 1.3× 908 1.4× 183 0.6× 93 0.4× 94 0.5× 30 1.8k
Zsolt Kira United States 22 1.2k 1.4× 765 1.2× 124 0.4× 31 0.1× 245 1.2× 68 1.9k
Pankaj Kumar India 22 1.1k 1.3× 336 0.5× 61 0.2× 322 1.5× 167 0.8× 129 1.6k
Wenhan Hu China 3 1.2k 1.4× 452 0.7× 82 0.3× 94 0.4× 142 0.7× 4 1.4k
Sašo Blažič Slovenia 26 404 0.5× 622 0.9× 139 0.5× 36 0.2× 140 0.7× 92 1.7k
T.N. Tan United Kingdom 8 1.6k 1.8× 543 0.8× 89 0.3× 138 0.7× 146 0.7× 14 1.9k

Countries citing papers authored by Claudio Piciarelli

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Piciarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Piciarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Piciarelli. A scholar is included among the top collaborators of Claudio Piciarelli 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 Claudio Piciarelli. Claudio Piciarelli 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.
Piciarelli, Claudio, et al.. (2025). Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening. IEEE Access. 13. 115735–115747.
2.
Piciarelli, Claudio, et al.. (2024). A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts. Institutional Research Information System (University of Udine). 8112–8121. 1 indexed citations
3.
Piciarelli, Claudio, et al.. (2023). Few-Shot Pixel-Precise Document Layout Segmentation Via Dynamic Instance Generation and Local Thresholding. SSRN Electronic Journal. 1 indexed citations
4.
Beltrami, Antonio Paolo, Maria De Martino, Emiliano Dalla, et al.. (2022). Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery. International Journal of Molecular Sciences. 23(16). 9161–9161. 9 indexed citations
5.
Avola, Danilo, Luigi Cinque, Alessio Fagioli, et al.. (2021). MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images. Remote Sensing. 13(9). 1670–1670. 71 indexed citations
6.
Avola, Danilo, Luigi Cinque, Alessio Fagioli, et al.. (2021). Automatic estimation of optimal UAV flight parameters for real-time wide areas monitoring. Multimedia Tools and Applications. 80(16). 25009–25031. 9 indexed citations
7.
Mishra, Pankaj Kumar, Claudio Piciarelli, & Gian Luca Foresti. (2020). A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing. International Journal of Neural Systems. 30(10). 2050060–2050060. 26 indexed citations
8.
Piciarelli, Claudio, et al.. (2018). An augmented reality system for technical staff training. Institutional Research Information System (University of Udine). 899–904. 4 indexed citations
9.
Martinel, Niki, Claudio Piciarelli, & Christian Micheloni. (2016). A supervised extreme learning committee for food recognition. Computer Vision and Image Understanding. 148. 67–86. 43 indexed citations
10.
Martinel, Niki, Claudio Piciarelli, Christian Micheloni, & Gian Luca Foresti. (2015). A Structured Committee for Food Recognition. Institutional Research Information System (University of Udine). 484–492. 25 indexed citations
11.
Piciarelli, Claudio, Lukas Esterle, Asif Khan, Bernhard Rinner, & Gian Luca Foresti. (2015). Dynamic Reconfiguration in Camera Networks: A Short Survey. IEEE Transactions on Circuits and Systems for Video Technology. 26(5). 965–977. 56 indexed citations
12.
Akhtar, Zahid, Christian Micheloni, Claudio Piciarelli, & Gian Luca Foresti. (2014). MoBio_LivDet: Mobile biometric liveness detection. Institutional Research Information System (University of Udine). 187–192. 14 indexed citations
13.
Martinel, Niki, Christian Micheloni, Claudio Piciarelli, & Gian Luca Foresti. (2013). Camera Selection for Adaptive Human-Computer Interface. IEEE Transactions on Systems Man and Cybernetics Systems. 44(5). 653–664. 27 indexed citations
14.
Martinel, Niki, Christian Micheloni, & Claudio Piciarelli. (2012). Distributed signature fusion for person re-identification. 1–6. 22 indexed citations
15.
Piciarelli, Claudio & Gian Luca Foresti. (2011). PTZ network configuration for optimal 3D coverage. 435–437. 1 indexed citations
16.
Piciarelli, Claudio, Christian Micheloni, & Gian Luca Foresti. (2011). Automatic reconfiguration of video sensor networks for optimal 3D coverage. 1–6. 13 indexed citations
17.
Machot, Fadi Al, Carlo Tasso, Bernhard Dieber, et al.. (2011). Smart resource-aware multimedia sensor network for automatic detection of complex events. Institutional Research Information System (University of Udine). 3791. 402–407. 4 indexed citations
18.
Piciarelli, Claudio, Christian Micheloni, & Gian Luca Foresti. (2010). Occlusion-aware multiple camera reconfiguration. Institutional Research Information System (University of Udine). 88–94. 37 indexed citations
19.
Piciarelli, Claudio, Christian Micheloni, & Gian Luca Foresti. (2008). Support vector machines for robust trajectory clustering. Institutional Research Information System (University of Udine). 2540–2543. 1 indexed citations
20.
Micheloni, Christian, Claudio Piciarelli, & Gian Luca Foresti. (2006). How a visual surveillance system hypothesizes how you behave. Behavior Research Methods. 38(3). 447–455. 1 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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