Giuseppe Cattaneo

1.3k total citations
65 papers, 651 citations indexed

About

Giuseppe Cattaneo is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Giuseppe Cattaneo has authored 65 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Giuseppe Cattaneo's work include Digital Media Forensic Detection (18 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Digital and Cyber Forensics (9 papers). Giuseppe Cattaneo is often cited by papers focused on Digital Media Forensic Detection (18 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Digital and Cyber Forensics (9 papers). Giuseppe Cattaneo collaborates with scholars based in Italy, France and Germany. Giuseppe Cattaneo's co-authors include Umberto Ferraro Petrillo, Aniello Castiglione, Alfredo De Santis, Luigi Catuogno, Giuseppe F. Italiano, Pino Persiano, Raffaele Giancarlo, David S. Alberts, Simona Concilio and Stefano Piotto and has published in prestigious journals such as Bioinformatics, IEEE Access and Sensors.

In The Last Decade

Giuseppe Cattaneo

59 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Cattaneo Italy 15 269 241 235 191 123 65 651
E. Koutsofios United States 9 239 0.9× 209 0.9× 158 0.7× 257 1.3× 85 0.7× 14 635
Ashish Gehani United States 15 329 1.2× 251 1.0× 427 1.8× 82 0.4× 238 1.9× 70 804
Juan L. Reutter Chile 16 187 0.7× 515 2.1× 495 2.1× 296 1.5× 239 1.9× 58 925
Somanath Tripathy India 13 203 0.8× 274 1.1× 214 0.9× 68 0.4× 62 0.5× 88 580
Jaime G. Carbonell United States 8 274 1.0× 288 1.2× 61 0.3× 139 0.7× 90 0.7× 21 738
Kun‐Lung Wu United States 12 325 1.2× 238 1.0× 497 2.1× 243 1.3× 129 1.0× 32 895
Yair Frankel United States 12 360 1.3× 472 2.0× 251 1.1× 256 1.3× 234 1.9× 24 813
Domagoj Vrgoč Chile 11 133 0.5× 340 1.4× 363 1.5× 274 1.4× 179 1.5× 38 742
Nisheeth Shrivastava United States 12 119 0.4× 307 1.3× 518 2.2× 171 0.9× 218 1.8× 17 882
Srikanta Bedathur India 17 279 1.0× 456 1.9× 296 1.3× 186 1.0× 267 2.2× 77 896

Countries citing papers authored by Giuseppe Cattaneo

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Cattaneo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Cattaneo

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Cattaneo. A scholar is included among the top collaborators of Giuseppe Cattaneo 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 Giuseppe Cattaneo. Giuseppe Cattaneo 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.
Petrillo, Umberto Ferraro, et al.. (2019). Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics. BMC Bioinformatics. 20(S4). 138–138. 14 indexed citations
2.
Cattaneo, Giuseppe, Umberto Ferraro Petrillo, Andrea F. Abate, Fabio Narducci, & Silvio Barra. (2019). Achieving efficient source camera identification on Hadoop. Multimedia Tools and Applications. 78(23). 32999–33021. 2 indexed citations
3.
Esposito, Christian, et al.. (2018). On the optimal tuning and placement of FEC codecs within multicasting trees for resilient publish/subscribe services in edge-IoT architectures. Future Generation Computer Systems. 88. 140–150. 4 indexed citations
4.
Petrillo, Umberto Ferraro, et al.. (2018). Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithms. Bioinformatics. 34(11). 1826–1833. 14 indexed citations
5.
Cattaneo, Giuseppe, et al.. (2017). Improving the experimental analysis of tampered image detection algorithms for biometric systems. Pattern Recognition Letters. 113. 93–101. 6 indexed citations
6.
Castiglione, Aniello, et al.. (2017). A Novel Methodology to Acquire Live Big Data Evidence from the Cloud. IEEE Transactions on Big Data. 5(4). 425–438. 10 indexed citations
7.
Piotto, Stefano, et al.. (2014). GRIMD: distributed computing for chemists and biologists. Bioinformation. 10(1). 43–47. 4 indexed citations
8.
Castiglione, Aniello, et al.. (2012). Virtual lab: A concrete experience in building multi-purpose virtualized labs for Computer Science Education. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–5. 3 indexed citations
9.
Castiglione, Aniello, et al.. (2011). A Novel Anti-forensics Technique for the Android OS. CINECA IRIS Institutial research information system (Parthenope University of Naples). 380–385. 42 indexed citations
10.
Castiglione, Aniello, Giuseppe Cattaneo, & Alfredo De Santis. (2011). A Forensic Analysis of Images on Online Social Networks. CINECA IRIS Institutial research information system (Parthenope University of Naples). 679–684. 35 indexed citations
11.
Cattaneo, Giuseppe, et al.. (2004). Providing privacy for Web services by anonymous group identification. IRIS Research product catalog (Sapienza University of Rome). 166–173. 1 indexed citations
12.
Cattaneo, Giuseppe, Alessandro Cilardo, Antonino Mazzeo, Luigi Romano, & G.P. Saggese. (2003). Providing Interoperable Time Stamping Services.
13.
14.
Cattaneo, Giuseppe, et al.. (2001). The Design and Implementation of a Transparent Cryptographic File System for UNIX. CINECA IRIS Institutial research information system (Parthenope University of Naples). 199–212. 87 indexed citations
15.
Alberts, David S., Giuseppe Cattaneo, Giuseppe F. Italiano, Umberto Nanni, & Christos Zaroliagis. (1998). A Software Library of Dynamic Graph Algorithms. Max Planck Institute for Plasma Physics. 129–136. 3 indexed citations
16.
Cattaneo, Giuseppe, Umberto Ferraro Petrillo, Giuseppe F. Italiano, & Vittorio Scarano. (1998). Concurrent Algorithms and Data Types Animation over the Internet. 63–80. 3 indexed citations
17.
Amato, Giuseppe, Giuseppe Cattaneo, & Giuseppe F. Italiano. (1997). Experimental Analysis of Dynamic Minimum Spanning Tree Algorithms (Extended Abstract).. Symposium on Discrete Algorithms. 314–323. 1 indexed citations
18.
Amato, Giuseppe, Giuseppe Cattaneo, & Giuseppe F. Italiano. (1997). Experimental analysis of dynamic minimum spanning tree algorithms. Symposium on Discrete Algorithms. 314–323. 14 indexed citations
19.
Alberts, David S., Giuseppe Cattaneo, & Giuseppe F. Italiano. (1997). An empirical study of dynamic graph algorithms. ACM Journal of Experimental Algorithmics. 2. 5–5. 20 indexed citations
20.
Alberts, David S., Giuseppe Cattaneo, & Giuseppe F. Italiano. (1996). An empirical study of dynamic graph algorithms. Symposium on Discrete Algorithms. 192–201. 5 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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