Matteo Ferrara

72 total papers · 2.8k total citations
39 papers, 1.6k citations indexed

About

Matteo Ferrara is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Matteo Ferrara has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 25 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Matteo Ferrara's work include Biometric Identification and Security (27 papers), Face recognition and analysis (11 papers) and Face and Expression Recognition (8 papers). Matteo Ferrara is often cited by papers focused on Biometric Identification and Security (27 papers), Face recognition and analysis (11 papers) and Face and Expression Recognition (8 papers). Matteo Ferrara collaborates with scholars based in Italy, China and Norway. Matteo Ferrara's co-authors include Davide Maltoni, Raffaele Cappelli, Annalisa Franco, Dario Maio, Luca Calderoni, Mássimo Tistarelli, Guido Borghi, Alessandra Lumini, Loris Nanni and Christoph Busch and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Matteo Ferrara

36 papers receiving 1.6k citations

Hit Papers

Minutia Cylinder-Code: A ... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matteo Ferrara 1.3k 1.1k 519 269 135 39 1.6k
James L. Wayman 1.6k 1.3× 1.2k 1.1× 800 1.5× 378 1.4× 146 1.1× 30 2.0k
Fernando Alonso‐Fernandez 1.4k 1.1× 1.3k 1.2× 498 1.0× 322 1.2× 213 1.6× 93 2.1k
Sabih H. Gerez 854 0.7× 638 0.6× 281 0.5× 330 1.2× 91 0.7× 43 1.3k
Abhishek Nagar 1.5k 1.2× 1.1k 1.0× 1.1k 2.1× 126 0.5× 82 0.6× 22 1.6k
Sharat Chikkerur 1.1k 0.9× 1.1k 1.0× 956 1.8× 169 0.6× 61 0.5× 22 1.9k
Tee Connie 1.0k 0.8× 939 0.9× 535 1.0× 118 0.4× 174 1.3× 98 1.5k
Gian Luca Marcialis 1.5k 1.2× 1.2k 1.1× 591 1.1× 586 2.2× 254 1.9× 97 2.2k
Adams Wai‐Kin Kong 1.6k 1.2× 1.5k 1.4× 534 1.0× 131 0.5× 266 2.0× 89 2.3k
Ajita Rattani 871 0.7× 874 0.8× 389 0.7× 119 0.4× 108 0.8× 89 1.3k
Ruggero Donida Labati 686 0.5× 920 0.8× 419 0.8× 128 0.5× 57 0.4× 74 1.9k

Countries citing papers authored by Matteo Ferrara

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Ferrara

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

All Works

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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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