Mauro Barni

13.6k total citations · 1 hit paper
319 papers, 8.6k citations indexed

About

Mauro Barni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mauro Barni has authored 319 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 261 papers in Computer Vision and Pattern Recognition, 97 papers in Artificial Intelligence and 32 papers in Media Technology. Recurrent topics in Mauro Barni's work include Advanced Steganography and Watermarking Techniques (171 papers), Digital Media Forensic Detection (125 papers) and Chaos-based Image/Signal Encryption (82 papers). Mauro Barni is often cited by papers focused on Advanced Steganography and Watermarking Techniques (171 papers), Digital Media Forensic Detection (125 papers) and Chaos-based Image/Signal Encryption (82 papers). Mauro Barni collaborates with scholars based in Italy, China and Spain. Mauro Barni's co-authors include Alessandro Piva, F. Bartolini, V. Cappellini, Benedetta Tondi, Tiziano Bianchi, Alessia De Rosa, Reginald L. Lagendijk, Riccardo Lazzeretti, Andrea Abrardo and Marco Fontani and has published in prestigious journals such as Nature, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Mauro Barni

307 papers receiving 8.0k citations

Hit Papers

Improved wavelet-based watermarking through pixel-wise ma... 2001 2026 2009 2017 2001 200 400 600

Peers

Mauro Barni
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 7.0k
  • Artificial Intelligence 1.9k
  • Signal Processing 1.1k
  • Media Technology 729
  • Information Systems 638
Replace Weiming Zhang with:
Weiming Zhang China
Alessandro Piva Italy
Jessica Fridrich United States
Jiwu Huang China
Yun-Qing Shi United States
Chi‐Man Pun Macao
Anastasios Tefas Greece
Xiamu Niu China
Zhihua Xia China
Xiangyang Wang China
Weiming Zhang China View profile →
Citations per field, relative to Mauro Barni
Mauro Barni · 1×
Citations per year, relative to Mauro Barni
Mauro Barni · 1×

Countries citing papers authored by Mauro Barni

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Barni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Barni

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Barni. A scholar is included among the top collaborators of Mauro Barni 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 Mauro Barni. Mauro Barni 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
# Work Indexed citations
1 2
2 1
3 3
4 6
5 7
6 39
7 47
8 6
9 6
10 154
11 22
12 16
13 5
14 22
15 1
16 80
17
Hiding traces of median filtering in digital images
24
18
Low-complexity lossless compression of hyperspectral images using scalar coset codes
1
19 31
20 1

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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