Angelo Porrello

1.4k total citations · 1 hit paper
19 papers, 508 citations indexed

About

Angelo Porrello is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Angelo Porrello has authored 19 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Infectious Diseases. Recurrent topics in Angelo Porrello's work include Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers) and Video Surveillance and Tracking Methods (3 papers). Angelo Porrello is often cited by papers focused on Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers) and Video Surveillance and Tracking Methods (3 papers). Angelo Porrello collaborates with scholars based in Italy. Angelo Porrello's co-authors include Simone Calderara, Rita Cucchiara, Davide Abati, Pietro Buzzega, Matteo Boschini, Andrea Capobianco Dondona, Pasquale Coscia, Lamberto Ballan, Luca Bergamini and Giuseppe Marruchella and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Medical Imaging.

In The Last Decade

Angelo Porrello

17 papers receiving 497 citations

Hit Papers

Latent Space Autoregression for Novelty Detection 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Latent Space Autoregression for Novelty Detection
    2019 305 citations Davide Abati, Angelo Porrello et al. IRIS UNIMORE (University of Modena and Reggio Emilia) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Porrello Italy 7 379 169 152 68 56 19 508
Mohamed Saber Egypt 11 172 0.5× 87 0.5× 78 0.5× 18 0.3× 53 0.9× 49 498
Karsten Roth Germany 8 531 1.4× 232 1.4× 134 0.9× 31 0.5× 61 1.1× 17 810
Dongxin Liu China 16 232 0.6× 205 1.2× 156 1.0× 42 0.6× 214 3.8× 77 860
Wenqiang Zhang China 19 198 0.5× 79 0.5× 111 0.7× 56 0.8× 46 0.8× 76 1.2k
Mengwei Xu China 16 405 1.1× 267 1.6× 470 3.1× 22 0.3× 48 0.9× 87 1.1k
Xin Zeng China 13 135 0.4× 65 0.4× 151 1.0× 27 0.4× 14 0.3× 49 594
M. Dehghan Iran 18 166 0.4× 207 1.2× 212 1.4× 20 0.3× 19 0.3× 70 982
Mohammad Saidur Rahman Australia 17 226 0.6× 77 0.5× 187 1.2× 10 0.1× 32 0.6× 45 662
Junfa Liu China 19 360 0.9× 337 2.0× 105 0.7× 69 1.0× 13 0.2× 55 983
Yusen Zhu China 14 194 0.5× 138 0.8× 68 0.4× 187 2.8× 33 0.6× 31 656

Countries citing papers authored by Angelo Porrello

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Porrello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Porrello

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Porrello. A scholar is included among the top collaborators of Angelo Porrello 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 Angelo Porrello. Angelo Porrello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Porrello, Angelo, et al.. (2025). Monocular per-object distance estimation with Masked Object Modeling. Computer Vision and Image Understanding. 253. 104303–104303. 1 indexed citations
2.
Porrello, Angelo, et al.. (2025). Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. IRIS UNIMORE (University of Modena and Reggio Emilia). 2527–2537. 1 indexed citations
3.
Boschini, Matteo, et al.. (2024). Saliency-driven Experience Replay for Continual Learning. 103356–103383. 1 indexed citations
4.
Bolelli, Federico, et al.. (2024). ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. IRIS UNIMORE (University of Modena and Reggio Emilia). 4858–4867. 1 indexed citations
5.
Ippoliti, Carla, Angelo Porrello, Americo Bonanni, et al.. (2024). Spotting Culex pipiens from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques. Frontiers in Veterinary Science. 11. 1383320–1383320.
6.
Porrello, Angelo, et al.. (2023). Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 5 indexed citations
7.
Porrello, Angelo, Sergio Ghidini, Nicola Bernabò, et al.. (2023). Scoring Enzootic Pneumonia-like Lesions in Slaughtered Pigs: Traditional vs. Artificial-Intelligence-Based Methods. Pathogens. 12(12). 1460–1460. 4 indexed citations
8.
Porrello, Angelo, et al.. (2023). TrackFlow: Multi-Object Tracking with Normalizing Flows. 9497–9509. 5 indexed citations
9.
Bolelli, Federico, et al.. (2023). A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Transactions on Medical Imaging. 43(4). 1412–1421. 6 indexed citations
10.
Boschini, M., et al.. (2022). Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 5497–5512. 3 indexed citations
11.
Porrello, Angelo, et al.. (2022). How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6543–6552. 36 indexed citations
12.
Boschini, Matteo, et al.. (2021). Continual Semi-Supervised Learning through Contrastive Interpolation Consistency. arXiv (Cornell University). 19 indexed citations
13.
Buzzega, Pietro, Matteo Boschini, Angelo Porrello, & Simone Calderara. (2021). Rethinking Experience Replay: a Bag of Tricks for Continual Learning. IRIS UNIMORE (University of Modena and Reggio Emilia). 2180–2187. 52 indexed citations
14.
Bergamini, Luca, Andrea Palazzi, Angelo Porrello, et al.. (2020). Scoring pleurisy in slaughtered pigs using convolutional neural networks. Veterinary Research. 51(1). 51–51. 21 indexed citations
15.
Candeloro, Luca, Carla Ippoliti, Federica Monaco, et al.. (2020). Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. Remote Sensing. 12(18). 3064–3064. 17 indexed citations
16.
Porrello, Angelo, Davide Abati, Simone Calderara, & Rita Cucchiara. (2019). Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. arXiv (Cornell University). 1388–1397. 4 indexed citations
17.
Porrello, Angelo, Pietro Buzzega, Simone Calderara, et al.. (2019). Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. 159–166. 4 indexed citations
18.
Abati, Davide, Angelo Porrello, Simone Calderara, & Rita Cucchiara. (2019). Latent Space Autoregression for Novelty Detection. IRIS UNIMORE (University of Modena and Reggio Emilia). 481–490. 305 indexed citations breakdown →
19.
Bergamini, Luca, et al.. (2018). Multi-views Embedding for Cattle Re-identification. IRIS UNIMORE (University of Modena and Reggio Emilia). 184–191. 23 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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