Luca Davoli

1.7k total citations
61 papers, 1.1k citations indexed

About

Luca Davoli is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Luca Davoli has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 26 papers in Electrical and Electronic Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Luca Davoli's work include IoT and Edge/Fog Computing (14 papers), IoT Networks and Protocols (13 papers) and Indoor and Outdoor Localization Technologies (6 papers). Luca Davoli is often cited by papers focused on IoT and Edge/Fog Computing (14 papers), IoT Networks and Protocols (13 papers) and Indoor and Outdoor Localization Technologies (6 papers). Luca Davoli collaborates with scholars based in Italy, Finland and Sweden. Luca Davoli's co-authors include Gianluigi Ferrari, Antonio Cilfone, Laura Belli, Luca Veltri, Simone Cirani, Marco Picone, Paolo Medagliani, Stefano Salsano, Pier Luigi Ventre and Giuseppe Siracusano and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Luca Davoli

55 papers receiving 1.0k citations

Peers

Countries citing papers authored by Luca Davoli

Since Specialization

Citations

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

Fields of papers citing papers by Luca Davoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Davoli

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

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Smart agriculture dataset in a tomato cultivation under different irrigation regimes	Data in Brief	Laura Belli, Luca Davoli et al.	1
2	An IoT-based data analysis system: A case study on tomato cultivation under different irrigation regimes	Computers and Electronics in Agriculture	Laura Belli, Luca Davoli et al.	6
3	CSI-RSRP-Based Unnecessary Handover Mitigation Through Linear Regression in Dynamic 5G NR Environments	IEEE Access	Luca Davoli, Gianluigi Ferrari et al.	0
4	Hyperledger Fabric in Precision Agriculture: A Study on Data Integrity and Availability		Laura Belli, Luca Davoli et al.	2
5	On UAV Terrestrial Connectivity Enhancement through Smart Selective Antennas	Journal of Physics Conference Series	Luca Davoli, Valentina Palazzi et al.	1
6	An Edge Computing-Oriented WoT Architecture for Air Quality Monitoring in Mobile Vehicular Scenarios		Luca Davoli, Laura Belli et al.	0
7	Deep Neural Quantization for Speech Detection of Parkinson Disease		Danilo Pau, Luca Davoli et al.	1
8	Optimizing Tomato Production through IoT-based Smart Data Collection and Analysis		Laura Belli, Luca Davoli et al.	1
9	A Cloud-Oriented Indoor-Outdoor Real-Time Localization IoT Architecture for Industrial Environments		Laura Belli, Luca Davoli et al.	3
10	Experimental analysis of RSSI-based localization algorithms with NLOS pre-mitigation for IoT applications	Computer Networks	Marco Martalò, Luca Davoli et al.	11
11	Air Quality Estimation with Embedded AI-Based Prediction Algorithms		Luca Davoli, Danilo Pau et al.	2
12	Smart Selective Antennas System (SSAS): Improving 4G LTE Connectivity for UAVs Using Directive Selective Antennas	IEEE Access	Luca Davoli, Valentina Palazzi et al.	2
13	On the Reduction of Unnecessary Handovers Using 5G Small Cells in a 5G NR Environment	Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)	Luca Davoli, Gianluigi Ferrari et al.	1
14	Air quality dataset from an indoor airport travelers transit area	Data in Brief	Luca Davoli, Laura Belli et al.	2
15	Harnessing Communication Heterogeneity: Architectural Design, Analytical Modeling, and Performance Evaluation of an IoT Multi-Interface Gateway	IEEE Internet of Things Journal	Luca Davoli, Gianluigi Ferrari et al.	8
16	On Safety Enhancement in IIoT Scenarios through Heterogeneous Localization Techniques	SHILAP Revista de lepidopterología	Luca Davoli, Laura Belli et al.	1
17	RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios	UNICA IRIS Institutional Research Information System (University of Cagliari)	Luca Davoli, Marco Martalò et al.	19
18	NEMO: A flexible and highly scalable network EMulatOr	SoftwareX	Luca Veltri, Luca Davoli et al.	5
19	An anonymization protocol for the Internet of Things		Luca Davoli, Luca Veltri et al.	17
20	Applying Security to a Big Stream Cloud Architecture for the Internet of Things	International Journal of Distributed Systems and Technologies	Laura Belli, Simone Cirani et al.	13

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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