Daniel Zucchetto

926 total citations · 1 hit paper
13 papers, 618 citations indexed

About

Daniel Zucchetto is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Zucchetto has authored 13 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Zucchetto's work include IoT Networks and Protocols (4 papers), Energy Harvesting in Wireless Networks (3 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). Daniel Zucchetto is often cited by papers focused on IoT Networks and Protocols (4 papers), Energy Harvesting in Wireless Networks (3 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). Daniel Zucchetto collaborates with scholars based in Italy, Norway and Germany. Daniel Zucchetto's co-authors include Andréa Zanella, Michele Polese, Francesca Meneghello, Michele Zorzi, Chiara Pielli, Michele De Filippo De Grazia, Kashif Mahmood, Lorenzo Vangelista, Marco Zorzi and Alberto Testolin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Daniel Zucchetto

12 papers receiving 596 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.

IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices

2019 525 citations Francesca Meneghello, Daniel Zucchetto et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Zucchetto Italy	6	379	189	183	176	160	13	618
David Fernández Spain	14	489 1.3×	139 0.7×	115 0.6×	108 0.6×	134 0.8×	65	689
Nataliia Neshenko United States	7	450 1.2×	237 1.3×	106 0.6×	254 1.4×	242 1.5×	13	670
Barry E. Mullins United States	15	429 1.1×	188 1.0×	172 0.9×	136 0.8×	129 0.8×	62	649
Antonio Pastor Spain	14	312 0.8×	232 1.2×	137 0.7×	75 0.4×	90 0.6×	60	604
Mahdi Aiash United Kingdom	14	686 1.8×	201 1.1×	192 1.0×	161 0.9×	181 1.1×	64	818
Ashraf Matrawy Canada	15	878 2.3×	194 1.0×	277 1.5×	165 0.9×	201 1.3×	82	1.0k
Mathias Fischer Germany	13	713 1.9×	328 1.7×	95 0.5×	223 1.3×	196 1.2×	75	836
Ahmed Refaey Canada	16	543 1.4×	282 1.5×	333 1.8×	100 0.6×	281 1.8×	79	939
Natalija Vlajic Canada	14	531 1.4×	218 1.2×	156 0.9×	180 1.0×	161 1.0×	56	692

Countries citing papers authored by Daniel Zucchetto

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Zucchetto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zucchetto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zucchetto. A scholar is included among the top collaborators of Daniel Zucchetto 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 Daniel Zucchetto. Daniel Zucchetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Meneghello, Francesca, et al.. (2019). IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices. IEEE Internet of Things Journal. 6(5). 8182–8201. 525 indexed citations breakdown →

Pielli, Chiara, Daniel Zucchetto, Andréa Zanella, & Michele Zorzi. (2019). An Interference-Aware Channel Access Strategy for WSNs Exploiting Temporal Correlation. IEEE Transactions on Communications. 67(12). 8585–8597. 5 indexed citations

Zucchetto, Daniel, Andrea Munari, & Andréa Zanella. (2019). On the Optimal Rate of Ad Hoc ALOHA Networks. elib (German Aerospace Center). 1–6.

Zucchetto, Daniel & Andréa Zanella. (2018). Multi-rate ALOHA Protocols for Machine-Type Communication. Padua Research Archive (University of Padova). 524–530. 1 indexed citations

Zucchetto, Daniel, Chiara Pielli, Andréa Zanella, & Michele Zorzi. (2018). A Random Access Scheme to Balance Energy Efficiency and Accuracy in Monitoring Applications. 1–6. 1 indexed citations

Zucchetto, Daniel, et al.. (2018). Comparison of M2M Traffic Models Against Real World Data Sets. Research Padua Archive (University of Padua). 1–6. 7 indexed citations

Zucchetto, Daniel, Chiara Pielli, Andréa Zanella, & Michele Zorzi. (2018). Random Access in the IoT: An Adaptive Sampling and Transmission Strategy. Padua Research Archive (University of Padova). 16. 1–6. 6 indexed citations

Østerbø, Olav N., Daniel Zucchetto, Kashif Mahmood, Andréa Zanella, & Ole Grøndalen. (2017). State Modulated Traffic Models for Machine Type Communications. Research Padua Archive (University of Padua). 90–98. 2 indexed citations

Polese, Michele, et al.. (2017). Cell traffic prediction using joint spatio-temporal information. Research Padua Archive (University of Padua). 41. 1–4. 2 indexed citations

10.

Grazia, Michele De Filippo De, Daniel Zucchetto, Alberto Testolin, et al.. (2017). QoE Multi-Stage Machine Learning for Dynamic Video Streaming. IEEE Transactions on Cognitive Communications and Networking. 4(1). 146–161. 14 indexed citations

11.

Zucchetto, Daniel & Andréa Zanella. (2017). Uncoordinated Access Schemes for the IoT: Approaches, Regulations, and Performance. IEEE Communications Magazine. 55(9). 48–54. 41 indexed citations

12.

Pielli, Chiara, et al.. (2015). Platforms and Protocols for the Internet of Things. SHILAP Revista de lepidopterología. 1(1). e5–e5. 10 indexed citations

13.

Munaretto, Daniele, Daniel Zucchetto, Andréa Zanella, & Michele Zorzi. (2015). Data-driven QoE optimization techniques for multi-user wireless networks. Research Padua Archive (University of Padua). 13. 653–657. 4 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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