Andrea Cavallaro

11.0k total citations · 3 hit papers
268 papers, 6.9k citations indexed

About

Andrea Cavallaro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Andrea Cavallaro has authored 268 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Computer Vision and Pattern Recognition, 72 papers in Artificial Intelligence and 55 papers in Signal Processing. Recurrent topics in Andrea Cavallaro's work include Video Surveillance and Tracking Methods (111 papers), Advanced Vision and Imaging (46 papers) and Anomaly Detection Techniques and Applications (44 papers). Andrea Cavallaro is often cited by papers focused on Video Surveillance and Tracking Methods (111 papers), Advanced Vision and Imaging (46 papers) and Anomaly Detection Techniques and Applications (44 papers). Andrea Cavallaro collaborates with scholars based in United Kingdom, Italy and Switzerland. Andrea Cavallaro's co-authors include Touradj Ebrahimi, Emilio Maggio, Tao Xiang, Kaiyang Zhou, Evangelos Sarıyanidi, Hatice Güneş, Lin Wang, Murtaza Taj, E. Salvador and Lars Chıttka and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Andrea Cavallaro

259 papers receiving 6.6k citations

Hit Papers

Omni-Scale Feature Learning for Person Re-Identifi... 2014 2026 2018 2022 2019 2014 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Cavallaro United Kingdom 40 4.7k 1.5k 1.0k 782 672 268 6.9k
Rainer Stiefelhagen Germany 46 6.3k 1.3× 2.0k 1.4× 750 0.7× 752 1.0× 513 0.8× 309 8.9k
Sergey Karayev United States 9 5.9k 1.3× 2.3k 1.5× 479 0.5× 551 0.7× 644 1.0× 13 8.1k
Bir Bhanu United States 47 6.6k 1.4× 1.7k 1.1× 1.3k 1.2× 1.6k 2.0× 541 0.8× 445 9.3k
Gang Hua United States 52 8.0k 1.7× 2.4k 1.6× 860 0.8× 774 1.0× 344 0.5× 251 10.0k
Hang Zhao United States 20 4.0k 0.9× 1.6k 1.1× 690 0.7× 553 0.7× 651 1.0× 50 6.6k
Gian Luca Foresti Italy 37 3.1k 0.7× 1.5k 1.0× 832 0.8× 619 0.8× 447 0.7× 293 5.1k
Guiguang Ding China 51 7.5k 1.6× 4.6k 3.1× 504 0.5× 580 0.7× 444 0.7× 187 11.8k
Li Shen China 9 6.2k 1.3× 2.3k 1.5× 1.1k 1.0× 549 0.7× 527 0.8× 51 10.1k
Baochang Zhang China 41 5.5k 1.2× 2.4k 1.6× 632 0.6× 588 0.8× 371 0.6× 228 7.3k
L.S. Davis United States 49 10.7k 2.3× 2.4k 1.6× 986 1.0× 1.6k 2.0× 922 1.4× 171 12.7k

Countries citing papers authored by Andrea Cavallaro

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Cavallaro

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cavallaro. A scholar is included among the top collaborators of Andrea Cavallaro 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 Andrea Cavallaro. Andrea Cavallaro 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.
Sun, Yu, Berk Çallı, Francis wyffels, et al.. (2024). Robotic Grasping and Manipulation Competition at the 2024 IEEE/RAS International Conference on Robotics and Automation [Competitions]. IEEE Robotics & Automation Magazine. 31(4). 174–185.
2.
Poggioni, Valentina, et al.. (2023). Black-Box Attacks on Image Activity Prediction and its Natural Language Explanations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3688–3697. 1 indexed citations
3.
Brutti, Alessio, et al.. (2022). Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4693–4697. 23 indexed citations
4.
Hachiuma, Ryo, et al.. (2022). The CORSMAL Benchmark for the Prediction of the Properties of Containers. IEEE Access. 10. 41388–41402. 5 indexed citations
5.
Tadesse, Girmaw Abebe, et al.. (2020). Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions]. IEEE Signal Processing Magazine. 37(3). 168–172. 3 indexed citations
6.
Sánchez-Matilla, Ricardo, et al.. (2020). Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. IEEE Signal Processing Magazine. 37(4). 14–23. 32 indexed citations
7.
Muzaffar, Raheeb, et al.. (2019). Live multicast video streaming from drones: an experimental study. Autonomous Robots. 44(1). 75–91. 18 indexed citations
8.
Hansard, Miles, et al.. (2017). Layered Scene Models from Single Hazy Images. IEEE Transactions on Visualization and Computer Graphics. 24(7). 2167–2179. 2 indexed citations
9.
Wang, Lin & Andrea Cavallaro. (2016). Ear in the sky: Ego-noise reduction for auditory micro aerial vehicles. 152–158. 34 indexed citations
10.
Sarıyanidi, Evangelos, Hatice Güneş, & Andrea Cavallaro. (2016). Robust Registration of Dynamic Facial Sequences. IEEE Transactions on Image Processing. 26(4). 1708–1722. 7 indexed citations
11.
Atrey, Pradeep K., Mohan Kankanhalli, & Andrea Cavallaro. (2013). Intelligent Multimedia Surveillance: Current Trends and Research. CERN Bulletin. 10 indexed citations
12.
Cavallaro, Andrea, et al.. (2010). 'Person Runs' detection for the TRECVID Surveillance Event Detection task.. TRECVID.
13.
Aghajan, Hamid & Andrea Cavallaro. (2009). Multi-Camera Networks: Principles and Applications. CERN Document Server (European Organization for Nuclear Research). 140 indexed citations
14.
Gong, Shaogang, et al.. (2009). Space-time audio-visual speech recognition with multiple multi-class probabilistic support vector machines.. AVSP. 155–160. 3 indexed citations
15.
Maggio, Emilio & Andrea Cavallaro. (2009). Learning Scene Context for Multiple Object Tracking. IEEE Transactions on Image Processing. 18(8). 1873–1884. 34 indexed citations
16.
Taj, Murtaza, et al.. (2008). Event analysis on TRECVid 2008 LondonGatwick dataset.. TRECVID. 2 indexed citations
17.
Taj, Murtaza, Emilio Maggio, & Andrea Cavallaro. (2007). Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset.. 160–173. 1 indexed citations
18.
Steiger, Olivier, Andrea Cavallaro, & Touradj Ebrahimi. (2005). Real-Time Generation of Annotated Video for Surveillance. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
19.
Cavallaro, Andrea, E. Salvador, & Touradj Ebrahimi. (2004). Detecting shadows in image sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 165–174. 30 indexed citations
20.
Cavallaro, Andrea, E. Salvador, & Touradj Ebrahimi. (2004). Shadow detection in image sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 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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