Michele De Donno

1.2k total citations · 1 hit paper
17 papers, 800 citations indexed

About

Michele De Donno is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Michele De Donno has authored 17 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in Michele De Donno's work include IoT and Edge/Fog Computing (11 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (6 papers). Michele De Donno is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (6 papers). Michele De Donno collaborates with scholars based in Denmark, Sweden and Italy. Michele De Donno's co-authors include Nicola Dragoni, Koen Tange, Xenofon Fafoutis, Alberto Giaretta, Angelo Spognardi, Antonio Bucchiarone, Manuel Mazzara, Martin Nordal Petersen, Michael Berger and Sarah Ruepp and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Future Internet.

In The Last Decade

Michele De Donno

17 papers receiving 767 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities

2020 278 citations Koen Tange, Michele De Donno et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michele De Donno Denmark	9	583	291	213	209	132	17	800
Fadele Ayotunde Alaba Nigeria	5	626 1.1×	365 1.3×	208 1.0×	211 1.0×	114 0.9×	9	867
Mahmoud Ammar Belgium	9	466 0.8×	288 1.0×	237 1.1×	227 1.1×	144 1.1×	36	769
Pranav Goyal India	2	636 1.1×	389 1.3×	246 1.2×	272 1.3×	148 1.1×	4	904
Divyansh Jain India	4	650 1.1×	388 1.3×	254 1.2×	285 1.4×	148 1.1×	12	945
JongWon Kim South Korea	17	824 1.4×	300 1.0×	162 0.8×	141 0.7×	212 1.6×	219	1.2k
Sarmad Ullah Khan Pakistan	8	689 1.2×	292 1.0×	124 0.6×	113 0.5×	272 2.1×	22	986
Jung‐Chun Liu Taiwan	16	391 0.7×	249 0.9×	156 0.7×	85 0.4×	135 1.0×	83	725
Shahid Khan Pakistan	5	628 1.1×	276 0.9×	114 0.5×	129 0.6×	250 1.9×	9	906
Koen Tange Denmark	6	386 0.7×	215 0.7×	121 0.6×	74 0.4×	117 0.9×	7	554
Pascal Urien France	13	495 0.8×	340 1.2×	227 1.1×	98 0.5×	320 2.4×	109	823

Countries citing papers authored by Michele De Donno

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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17 of 17 papers shown

Donno, Michele De, et al.. (2021). RESIP Host Detection: Identification of Malicious Residential IP Proxy Flows. 1–6. 6 indexed citations

Donno, Michele De, Xenofon Fafoutis, & Nicola Dragoni. (2021). AntibIoTic: The Fog-enhanced distributed security system to protect the (legacy) Internet of Things. Journal of Computer Security. 30(5). 689–725. 1 indexed citations

Tange, Koen, Michele De Donno, Xenofon Fafoutis, & Nicola Dragoni. (2020). A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities. IEEE Communications Surveys & Tutorials. 22(4). 2489–2520. 278 indexed citations breakdown →

Donno, Michele De. (2020). AntibIoTic: Securing the Internet of Things with Fog Computing. 1 indexed citations

Donno, Michele De, et al.. (2020). SHAKE: SHared Acceleration Key Establishment for Resource-Constrained IoT Devices. 1–6. 5 indexed citations

Tange, Koen, Nicola Dragoni, Xenofon Fafoutis, & Michele De Donno. (2020). A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations

Donno, Michele De, Alberto Giaretta, Nicola Dragoni, Antonio Bucchiarone, & Manuel Mazzara. (2019). Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era. Future Internet. 11(6). 127–127. 30 indexed citations

Donno, Michele De, Koen Tange, & Nicola Dragoni. (2019). Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog. IEEE Access. 7. 150936–150948. 231 indexed citations

Giaretta, Alberto, et al.. (2019). BitFlow: Enabling real‐time cash‐flow evaluations through blockchain. Concurrency and Computation Practice and Experience. 32(12). 4 indexed citations

10.

Donno, Michele De, Xenofon Fafoutis, Nicola Dragoni, et al.. (2019). Sustainable Security for Internet of Things. 1–4. 4 indexed citations

11.

Donno, Michele De & Nicola Dragoni. (2019). Combining AntibIoTic with Fog Computing: AntibIoTic 2.0. 53. 1–6. 10 indexed citations

12.

Donno, Michele De, et al.. (2019). ANTIBIOTIC 2.0: A Fog-based Anti-Malware for Internet of Things. 11–20. 9 indexed citations

13.

Tange, Koen, Michele De Donno, Xenofon Fafoutis, & Nicola Dragoni. (2019). Towards a systematic survey of industrial IoT security requirements. 56–63. 22 indexed citations

14.

Donno, Michele De, Nicola Dragoni, Alberto Giaretta, & Angelo Spognardi. (2018). DDoS-Capable IoT Malwares: Comparative Analysis and Mirai Investigation. Security and Communication Networks. 2018. 1–30. 114 indexed citations

15.

Giaretta, Alberto, Michele De Donno, & Nicola Dragoni. (2018). Adding Salt to Pepper. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1–8. 24 indexed citations

16.

Donno, Michele De, Alberto Giaretta, Nicola Dragoni, & Angelo Spognardi. (2017). A taxonomy of distributed denial of service attacks. IRIS Research product catalog (Sapienza University of Rome). 100–107. 8 indexed citations

17.

Spognardi, Angelo, Michele De Donno, Nicola Dragoni, & Alberto Giaretta. (2017). Analysis of DDoS-Capable IoT Malwares. Annals of Computer Science and Information Systems. 11. 807–816. 48 indexed citations

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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