Rudy Becarelli

556 total citations
15 papers, 354 citations indexed

About

Rudy Becarelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Rudy Becarelli has authored 15 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Rudy Becarelli's work include Digital Media Forensic Detection (7 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Rudy Becarelli is often cited by papers focused on Digital Media Forensic Detection (7 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Rudy Becarelli collaborates with scholars based in Italy. Rudy Becarelli's co-authors include Roberto Caldelli, Irene Amerini, Andrea Del Mastio, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Bruno Bertini, Alessia De Rosa, Mauro Barni and Francesco Brancati and has published in prestigious journals such as Sustainability, IEEE Transactions on Information Forensics and Security and Multimedia Tools and Applications.

In The Last Decade

Rudy Becarelli

15 papers receiving 343 citations

Peers

Rudy Becarelli
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 284
  • Artificial Intelligence 75
  • Signal Processing 52
  • Information Systems 34
  • Media Technology 31
Replace Myung-Joon Kwon with:
Myung-Joon Kwon South Korea
Nor Bakiah Abd Warif Malaysia
Dasara Shullani Italy
Massimo Iuliani Italy
A. Costanzo Italy
Osamah M. Al-Qershi Malaysia
Xunyu Pan United States
William D. Ferreira Brazil
Huamin Feng China
Christian Clausner United Kingdom
Myung-Joon Kwon South Korea View profile →
Citations per field, relative to Rudy Becarelli
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Citations per year, relative to Rudy Becarelli
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Countries citing papers authored by Rudy Becarelli

Since Specialization
Citations

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

Fields of papers citing papers by Rudy Becarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudy Becarelli

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 9
2
Detecting Adversarial Inputs by Looking in the Black Box.
1
3 3
4 32
5 18
6 54
7 41
8 2
9 5
10 6
11 70
12 1
13 106
14 4
15 2

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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