Massimo Ficco

3.4k citations
98 papers · 2.2k indexed · 1 hit paper · h-index 27
Topics
Network Security and Intrusion Detection (26 papers)Cloud Data Security Solutions (15 papers)Cloud Computing and Resource Management (15 papers)
Partner nations
ItalyPolandAustralia

In The Last Decade

Massimo Ficco

94 papers receiving 2.1k citations

Hit Papers

Blockchain-based authentication and authorization for sma...2020202620222024202050100150200250

Peers

Massimo Ficco
Comparison fields: 5 of 99
  • Computer Networks and Communications 1.4k
  • Information Systems 981
  • Artificial Intelligence 664
  • Signal Processing 507
  • Electrical and Electronic Engineering 340
Replace Sudarshan S. Chawathe with:
Sudarshan S. Chawathe United States
Yang Cao China
Fei Xue China
Wu Yang China
Limin Sun China
Luis Javier García Villalba Spain
Young‐Sik Jeong South Korea
Thomas La Porta United States
Wenny Rahayu Australia
Wei Sun China
Massimo Ficco relative to Sudarshan S. Chawathe United States Sudarshan S. Chawathe's profile →
Citations per field
00.5×10×15.3×
Sudarshan S. Chawathe · 1×
Citations per year

Countries citing papers authored by Massimo Ficco

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Ficco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Ficco

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Ficco. A scholar is included among the top collaborators of Massimo Ficco 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 Massimo Ficco. Massimo Ficco 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
#WorkIndexed citations
1 0
2 3
3 3
4 6
5 11
6 39
7 65
8 92
9 5
10 1
11 4
12 55
13 21
14 70
15 26
16
An Advanced Intrusion Detection Framework for Cloud Computing.
2
17 33
18 7
19 4
20 34

About Massimo Ficco

Massimo Ficco is a scholar working on Computer Networks and Communications, Information Systems and Software, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (26 papers), Cloud Data Security Solutions (15 papers) and Cloud Computing and Resource Management (15 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Signal Processing (507 citations) and Information Systems (981 citations). Massimo Ficco has collaborated with scholars based in Italy, Poland and Australia. Frequent co-authors include Francesco Palmieri, Christian Esposito, Aniello Castiglione, Brij B. Gupta, Massimiliano Rak, Gianni D’Angelo, Stefano Russo, Michał Choraś, Rafał Kozik and Roberto Pietrantuono. Their work appears in journals such as Communications of the ACM, IEEE Access and IEEE Communications Magazine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026