Mattia Zago
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Manuel Gil PérezGregorio Martínez PérezMichele CarminatiStefano ZaneroPantaleone NespoliFélix Gómez MármolAlberto Huertas CeldránJavier Pastor-Galindo
- Topics
- Network Security and Intrusion Detection (7 papers)Advanced Malware Detection Techniques (7 papers)Spam and Phishing Detection (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications MagazineSensors
In The Last Decade
Mattia Zago
19 papers receiving 293 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 194
- Artificial Intelligence 148
- Signal Processing 131
- Information Systems 110
- Electrical and Electronic Engineering 79
Countries citing papers authored by Mattia Zago
This map shows the geographic impact of Mattia Zago'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 Mattia Zago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Zago more than expected).
Fields of papers citing papers by Mattia Zago
This network shows the impact of papers produced by Mattia Zago. 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 Mattia Zago. The network helps show where Mattia Zago may publish in the future.
Co-authorship network of co-authors of Mattia Zago
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Zago. A scholar is included among the top collaborators of Mattia Zago 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 Mattia Zago. Mattia Zago is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 21 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 37 | |
| 9 | 8 | |
| 10 | 91 | |
| 11 | 41 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | A review of scalable detection of botnets based on DGA | 1 |
| 16 | 20 | |
| 17 | 25 | |
| 18 | 12 | |
| 19 | 10 |
About Mattia Zago
Mattia Zago is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 19 papers that have together received 307 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Signal Processing (131 citations), Computer Networks and Communications (194 citations) and Information Systems (110 citations). Mattia Zago has collaborated with scholars based in Spain, Ireland and Italy. Frequent co-authors include Manuel Gil Pérez, Gregorio Martínez Pérez, Michele Carminati, Stefano Zanero, Pantaleone Nespoli, Félix Gómez Mármol, Alberto Huertas Celdrán, Javier Pastor-Galindo, Sergio López Bernal and José A. Ruipérez‐Valiente. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Sensors.
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.