Federico Maggi

90 total papers · 3.1k total citations
50 papers, 1.1k citations indexed

About

Federico Maggi is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Federico Maggi has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 26 papers in Signal Processing and 22 papers in Computer Networks and Communications. Recurrent topics in Federico Maggi's work include Advanced Malware Detection Techniques (26 papers), Network Security and Intrusion Detection (17 papers) and Spam and Phishing Detection (11 papers). Federico Maggi is often cited by papers focused on Advanced Malware Detection Techniques (26 papers), Network Security and Intrusion Detection (17 papers) and Spam and Phishing Detection (11 papers). Federico Maggi collaborates with scholars based in Italy, United States and Germany. Federico Maggi's co-authors include Stefano Zanero, Matteo Matteucci, Iasonas Polakis, Andrea Continella, Mario Polino, Sotiris Ioannidis, Panagiotis Ilia, Alessandro Barenghi, Ηλίας Αθανασόπουλος and Giovanni Vigna and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Computer.

In The Last Decade

Federico Maggi

49 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Federico Maggi	588	529	494	416	124	50	1.1k
Alessio Merlo	543 0.9×	527 1.0×	524 1.1×	305 0.7×	109 0.9×	94	1.1k
Martín Ochoa	534 0.9×	406 0.8×	626 1.3×	486 1.2×	44 0.4×	51	1.0k
Nayeem Islam	427 0.7×	404 0.8×	632 1.3×	538 1.3×	80 0.6×	31	1.1k
Daniele Sgandurra	701 1.2×	587 1.1×	719 1.5×	287 0.7×	70 0.6×	50	1.1k
Guangdong Bai	306 0.5×	466 0.9×	296 0.6×	434 1.0×	110 0.9×	103	1.0k
Cheng Huang	586 1.0×	765 1.4×	492 1.0×	449 1.1×	95 0.8×	90	1.2k
Joshua Mason	687 1.2×	501 0.9×	877 1.8×	684 1.6×	88 0.7×	24	1.3k
Bradley Reaves	536 0.9×	480 0.9×	573 1.2×	391 0.9×	119 1.0×	46	1.1k
Baojiang Cui	421 0.7×	562 1.1×	514 1.0×	486 1.2×	32 0.3×	107	1.1k
Frédéric Cuppens	471 0.8×	581 1.1×	952 1.9×	753 1.8×	273 2.2×	100	1.5k

Countries citing papers authored by Federico Maggi

Since Specialization

Citations

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

Fields of papers citing papers by Federico Maggi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Maggi

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