Chiara Pero

572 total citations
35 papers, 330 citations indexed

About

Chiara Pero is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Chiara Pero has authored 35 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Chiara Pero's work include Face recognition and analysis (16 papers), Face and Expression Recognition (14 papers) and Biometric Identification and Security (10 papers). Chiara Pero is often cited by papers focused on Face recognition and analysis (16 papers), Face and Expression Recognition (14 papers) and Biometric Identification and Security (10 papers). Chiara Pero collaborates with scholars based in Italy, India and Pakistan. Chiara Pero's co-authors include Michele Nappi, Saiyed Umer, Ranjeet Kumar Rout, Carmen Bisogni, Lucia Cascone, Aniello Castiglione, Stefano Ricciardi, Fabio Narducci, Vincenzo Loia and Maurizio Tucci and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chiara Pero

31 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Pero Italy 11 208 82 77 56 49 35 330
Alia Karim Abdul Hassan Iraq 9 101 0.5× 37 0.5× 60 0.8× 115 2.1× 27 0.6× 54 272
Purnawarman Musa Indonesia 8 132 0.6× 22 0.3× 54 0.7× 49 0.9× 30 0.6× 35 277
Jumana Waleed Iraq 11 141 0.7× 22 0.3× 26 0.3× 72 1.3× 20 0.4× 53 304
G. G. Lakshmi Priya India 11 217 1.0× 56 0.7× 66 0.9× 59 1.1× 21 0.4× 28 401
Hassen Drira France 10 383 1.8× 128 1.6× 68 0.9× 48 0.9× 14 0.3× 25 438
Suzhen Wang China 10 303 1.5× 111 1.4× 66 0.9× 67 1.2× 7 0.1× 25 419
Kalaivani Sundararajan United States 6 148 0.7× 106 1.3× 42 0.5× 172 3.1× 67 1.4× 7 399
Ngoc‐Son Vu France 11 397 1.9× 91 1.1× 23 0.3× 47 0.8× 18 0.4× 28 467
Amit Das United States 12 187 0.9× 110 1.3× 22 0.3× 234 4.2× 17 0.3× 49 466
Da-Mi Jeong South Korea 6 204 1.0× 31 0.4× 138 1.8× 50 0.9× 17 0.3× 8 349

Countries citing papers authored by Chiara Pero

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Pero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Pero

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Pero. A scholar is included among the top collaborators of Chiara Pero 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 Chiara Pero. Chiara Pero 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.
Hassaballah, M., Chiara Pero, Ranjeet Kumar Rout, & Saiyed Umer. (2025). Integrating end-to-end multimodal deep learning and domain adaptation for robust facial expression recognition. Image and Vision Computing. 159. 105548–105548.
2.
Caruso, Marco, et al.. (2025). Advancements in basketball action recognition: Datasets, methods, explainability, and synthetic data applications. Image and Vision Computing. 162. 105689–105689.
3.
Castiglione, Aniello, et al.. (2025). Enhancing trust of deep learning models with post-quantum digital signatures. The Journal of Supercomputing. 81(11).
4.
Bisogni, Carmen, Vincenzo Loia, Michele Nappi, & Chiara Pero. (2024). Acoustic features analysis for explainable machine learning-based audio spoofing detection. Computer Vision and Image Understanding. 249. 104145–104145. 2 indexed citations
5.
Bisogni, Carmen, Lucia Cascone, Michele Nappi, & Chiara Pero. (2024). IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation. ACM Transactions on Multimedia Computing Communications and Applications. 20(6). 1–24. 6 indexed citations
6.
Alabdulqader, Ebtisam, et al.. (2024). Novel vision transformer and data augmentation technique for efficient detection of monkeypox disease. Multimedia Tools and Applications. 84(27). 31955–31973. 2 indexed citations
7.
Castiglione, Aniello, et al.. (2024). Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices. IEEE Transactions on Industrial Informatics. 21(2). 1674–1683. 18 indexed citations
8.
Becattini, Federico, Carmen Bisogni, Vincenzo Loia, Chiara Pero, & Fei Hao. (2023). Head Pose Estimation Patterns as Deepfake Detectors. ACM Transactions on Multimedia Computing Communications and Applications. 20(11). 1–24. 17 indexed citations
9.
Bisogni, Carmen, et al.. (2023). Walk as you feel: Privacy preserving emotion recognition from gait patterns. Engineering Applications of Artificial Intelligence. 128. 107565–107565. 5 indexed citations
10.
Pero, Chiara, Sambit Bakshi, Michele Nappi, & Genoveffa Tortora. (2023). IoT-Driven Machine Learning for Precision Viticulture Optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2437–2447. 19 indexed citations
11.
Pero, Chiara, et al.. (2023). Achieving a Lawfully-Secure Audio Recording Framework using Consumer Electronics. 3. 1–3. 1 indexed citations
12.
13.
Barra, Silvio, et al.. (2022). A Facial Expression Recognition Approach for Social IoT Frameworks. Big Data Research. 30. 100353–100353. 9 indexed citations
14.
Bakshi, Sambit, et al.. (2022). Privacy Preserving Ear Recognition System Using Transfer Learning in Industry 4.0. IEEE Transactions on Industrial Informatics. 19(5). 6408–6417. 6 indexed citations
15.
Bisogni, Carmen, Michele Nappi, Chiara Pero, & Stefano Ricciardi. (2021). PIFS Scheme for HEad Pose Estimation Aimed at Faster Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 4(2). 173–184. 8 indexed citations
16.
Bisogni, Carmen, Lucia Cascone, Jean‐Luc Dugelay, & Chiara Pero. (2021). Adversarial attacks through architectures and spectra in face recognition. Pattern Recognition Letters. 147. 55–62. 14 indexed citations
17.
Bisogni, Carmen, Michele Nappi, Chiara Pero, & Stefano Ricciardi. (2021). FASHE: A FrActal Based Strategy for Head Pose Estimation. IEEE Transactions on Image Processing. 30. 3192–3203. 20 indexed citations
18.
Barra, Paola, et al.. (2021). Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation. IET Biometrics. 11(4). 279–288. 4 indexed citations
19.
Abate, Andrea F., Paola Barra, Chiara Pero, & Maurizio Tucci. (2020). Head pose estimation by regression algorithm. Pattern Recognition Letters. 140. 179–185. 19 indexed citations
20.
Casanova, Andrea, Lucia Cascone, Aniello Castiglione, Michele Nappi, & Chiara Pero. (2019). Eye-Movement and Touch Dynamics: A Proposed Approach for Activity Recognition of a Web User. CINECA IRIS Institutial research information system (Parthenope University of Naples). 41. 719–724. 8 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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2026