Alessandro Rozza

3.8k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Alessandro Rozza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alessandro Rozza has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Alessandro Rozza's work include Face and Expression Recognition (7 papers), Sentiment Analysis and Opinion Mining (3 papers) and Neural Networks and Applications (3 papers). Alessandro Rozza is often cited by papers focused on Face and Expression Recognition (7 papers), Sentiment Analysis and Opinion Mining (3 papers) and Neural Networks and Applications (3 papers). Alessandro Rozza collaborates with scholars based in Italy, Switzerland and Denmark. Alessandro Rozza's co-authors include Elanor Colleoni, Adam Arvidsson, Mario Manzo, Elena Casiraghi, Paola Campadelli, Gabriele Lombardi, Alfredo Petrosino, Corrado Monti, Marco Leonardi and Giovanni Zappella and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Pattern Recognition.

In The Last Decade

Alessandro Rozza

22 papers receiving 1.2k citations

Hit Papers

Echo Chamber or Public Sphere? Predicting Political Orien... 2014 2026 2018 2022 2014 200 400 600
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. Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data
    2014 719 citations Elanor Colleoni, Alessandro Rozza et al. Journal of Communication profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Rozza Italy 10 486 441 412 298 184 22 1.3k
Andreas Kaltenbrunner Spain 20 454 0.9× 319 0.7× 278 0.7× 475 1.6× 92 0.5× 63 1.5k
Pawan Goyal India 19 258 0.5× 222 0.5× 942 2.3× 162 0.5× 71 0.4× 119 1.4k
Marc–André Kaufhold Germany 15 690 1.4× 800 1.8× 391 0.9× 83 0.3× 52 0.3× 58 1.5k
Jana Diesner United States 15 136 0.3× 211 0.5× 376 0.9× 280 0.9× 74 0.4× 82 976
Ceren Budak United States 18 445 0.9× 704 1.6× 418 1.0× 657 2.2× 65 0.4× 64 1.6k
Alexandra Olteanu United States 16 466 1.0× 534 1.2× 725 1.8× 198 0.7× 39 0.2× 44 1.5k
Seungwon Yang United States 13 427 0.9× 332 0.8× 191 0.5× 68 0.2× 64 0.3× 56 907
Cody Dunne United States 16 106 0.2× 205 0.5× 379 0.9× 320 1.1× 561 3.0× 49 1.2k
Nitin Agarwal United States 22 359 0.7× 558 1.3× 581 1.4× 678 2.3× 70 0.4× 157 2.0k
Michael Mathioudakis Finland 16 442 0.9× 513 1.2× 612 1.5× 821 2.8× 77 0.4× 43 1.6k

Countries citing papers authored by Alessandro Rozza

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Rozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Rozza

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Rozza. A scholar is included among the top collaborators of Alessandro Rozza 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 Alessandro Rozza. Alessandro Rozza 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.
Elwood, Adam, Marco Leonardi, A. Mohamed, & Alessandro Rozza. (2023). Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models. Entropy. 25(2). 188–188. 1 indexed citations
2.
Elwood, Adam, et al.. (2022). Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. International Journal of Semantic Computing. 16(2). 213–231. 1 indexed citations
3.
Leonardi, Marco, Paolo Napoletano, Raimondo Schettini, & Alessandro Rozza. (2021). No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection. Sensors. 21(3). 994–994. 6 indexed citations
4.
Leonardi, Marco, Paolo Napoletano, Alessandro Rozza, & Raimondo Schettini. (2021). Modeling image aesthetics through aesthetics-related attributes. 2(1). 11–15. 3 indexed citations
5.
Manzo, Mario & Alessandro Rozza. (2019). DOPSIE: Deep-Order Proximity and Structural Information Embedding. Machine Learning and Knowledge Extraction. 1(2). 684–697. 3 indexed citations
6.
Rozza, Alessandro, et al.. (2019). Dynamic graph convolutional networks. Pattern Recognition. 97. 107000–107000. 251 indexed citations
7.
Seidenari, Lorenzo, Alessandro Rozza, & Alberto Del Bimbo. (2018). Real-time demographic profiling from face imagery with Fisher vectors. Machine Vision and Applications. 30(2). 359–374. 4 indexed citations
8.
Rozza, Alessandro, et al.. (2016). A Robust Approach for the Background Subtraction Based on Multi-Layered Self-Organizing Maps. IEEE Transactions on Image Processing. 25(11). 5239–5251. 27 indexed citations
9.
Rozza, Alessandro, et al.. (2015). A novel background subtraction approach based on multi layered self-organizing maps. 462–466. 11 indexed citations
10.
Campadelli, Paola, et al.. (2015). Intrinsic Dimension Estimation: Relevant Techniques and a Benchmark Framework. Mathematical Problems in Engineering. 2015. 1–21. 67 indexed citations
11.
Rozza, Alessandro, et al.. (2014). DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration. Pattern Recognition. 47(8). 2569–2581. 44 indexed citations
12.
Rozza, Alessandro, Mario Manzo, & Alfredo Petrosino. (2014). A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning. CINECA IRIS Institutial research information system (Parthenope University of Naples). 3786–3791. 8 indexed citations
13.
Colleoni, Elanor, Alessandro Rozza, & Adam Arvidsson. (2014). Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data. Journal of Communication. 64(2). 317–332. 719 indexed citations breakdown →
14.
Monti, Corrado, Alessandro Rozza, Giovanni Zappella, et al.. (2013). Modelling political disaffection from Twitter data. CBS Research Portal (Copenhagen Business School). 1–9. 20 indexed citations
15.
Rozza, Alessandro, Gabriele Lombardi, Elena Casiraghi, & Paola Campadelli. (2012). Novel Fisher discriminant classifiers. Pattern Recognition. 45(10). 3725–3737. 23 indexed citations
16.
Rozza, Alessandro, et al.. (2012). Novel high intrinsic dimensionality estimators. Machine Learning. 89(1-2). 37–65. 43 indexed citations
17.
Rozza, Alessandro, Gabriele Lombardi, Marco Rosa, & Elena Casiraghi. (2010). O-IPCAC and its Application to EEG Classification. 11. 4–11. 4 indexed citations
18.
Rozza, Alessandro, Gabriele Lombardi, & Elena Casiraghi. (2010). PIPCAC: A Novel Binary Classifier Assuming Mixtures of Gaussian Functions. 2 indexed citations
19.
Rozza, Alessandro, Gabriele Lombardi, Elena Casiraghi, & Giorgio Valentini. (2010). DDAG K-TIPCAC: an ensemble method for protein subcellular localization. 2 indexed citations
20.
Rozza, Alessandro, Gabriele Lombardi, & Elena Casiraghi. (2009). Novel IPCA-Based Classifiers and Their Application to Spam Filtering. 22. 797–802. 9 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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