Michele De Donno
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Nicola DragoniKoen TangeXenofon FafoutisAlberto GiarettaAngelo SpognardiAntonio BucchiaroneManuel MazzaraMichael Berger
- Topics
- IoT and Edge/Fog Computing (11 papers)Network Security and Intrusion Detection (8 papers)Advanced Malware Detection Techniques (6 papers)
In The Last Decade
Michele De Donno
17 papers receiving 767 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 583
- Information Systems 291
- Artificial Intelligence 213
- Signal Processing 209
- Electrical and Electronic Engineering 132
Countries citing papers authored by Michele De Donno
This map shows the geographic impact of Michele De Donno'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 Michele De Donno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele De Donno more than expected).
Fields of papers citing papers by Michele De Donno
This network shows the impact of papers produced by Michele De Donno. 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 Michele De Donno. The network helps show where Michele De Donno may publish in the future.
Co-authorship network of co-authors of Michele De Donno
This figure shows the co-authorship network connecting the top 25 collaborators of Michele De Donno. A scholar is included among the top collaborators of Michele De Donno 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 Michele De Donno. Michele De Donno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | AntibIoTic: Securing the Internet of Things with Fog Computing | 1 |
| 4 | A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunitiesbreakdown → | 278 |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 231 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 114 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | 48 |
About Michele De Donno
Michele De Donno is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 17 papers that have together received 800 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (583 citations), Signal Processing (209 citations) and Information Systems (291 citations). Michele De Donno has collaborated with scholars based in Denmark, Sweden and Italy. Frequent co-authors include Nicola Dragoni, Koen Tange, Xenofon Fafoutis, Alberto Giaretta, Angelo Spognardi, Antonio Bucchiarone, Manuel Mazzara, Michael Berger, Martin Nordal Petersen and Sarah Ruepp. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Future Internet.
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.