Fabio Pierazzi

59 total papers · 1.1k total citations
34 papers, 506 citations indexed

About

Fabio Pierazzi is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fabio Pierazzi has authored 34 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 23 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Fabio Pierazzi's work include Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (21 papers) and Adversarial Robustness in Machine Learning (8 papers). Fabio Pierazzi is often cited by papers focused on Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (21 papers) and Adversarial Robustness in Machine Learning (8 papers). Fabio Pierazzi collaborates with scholars based in United Kingdom, Italy and United States. Fabio Pierazzi's co-authors include Michele Colajanni, Mirco Marchetti, V. S. Subrahmanian, Alessandro Guido, Tanmoy Chakraborty, Lorenzo Cavallaro, Feargus Pendlebury, Giovanni Apruzzese, Luca Ferretti and Corrado Appice Annalisa Malerba Donato Loglisci and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Information Forensics and Security and Computer Networks.

In The Last Decade

Fabio Pierazzi

30 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Fabio Pierazzi	362	300	239	215	55	34	506
Birhanu Eshete	334 0.9×	273 0.9×	196 0.8×	297 1.4×	38 0.7×	22	519
Brendan Saltaformaggio	272 0.8×	370 1.2×	241 1.0×	314 1.5×	69 1.3×	38	544
Junyang Qiu	264 0.7×	266 0.9×	190 0.8×	180 0.8×	62 1.1×	21	457
Yongzhong He	273 0.8×	263 0.9×	225 0.9×	170 0.8×	47 0.9×	33	468
Yonghwi Kwon	269 0.7×	321 1.1×	295 1.2×	267 1.2×	109 2.0×	50	583
Xiaokui Shu	333 0.9×	319 1.1×	232 1.0×	257 1.2×	57 1.0×	24	526
Rigel Gjomemo	299 0.8×	233 0.8×	184 0.8×	249 1.2×	41 0.7×	16	471
Apostolis Zarras	220 0.6×	307 1.0×	260 1.1×	294 1.4×	50 0.9×	28	491
ElMouatez Billah Karbab	456 1.3×	458 1.5×	142 0.6×	256 1.2×	139 2.5×	17	550
Philip O’Kane	397 1.1×	471 1.6×	170 0.7×	305 1.4×	48 0.9×	22	592

Countries citing papers authored by Fabio Pierazzi

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Pierazzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pierazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pierazzi. A scholar is included among the top collaborators of Fabio Pierazzi 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 Fabio Pierazzi. Fabio Pierazzi 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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