Luca Bedogni

1.8k total citations
99 papers, 1.2k citations indexed

About

Luca Bedogni is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Transportation. According to data from OpenAlex, Luca Bedogni has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 44 papers in Computer Networks and Communications and 24 papers in Transportation. Recurrent topics in Luca Bedogni's work include Human Mobility and Location-Based Analysis (23 papers), IoT and Edge/Fog Computing (20 papers) and Mobile Crowdsensing and Crowdsourcing (17 papers). Luca Bedogni is often cited by papers focused on Human Mobility and Location-Based Analysis (23 papers), IoT and Edge/Fog Computing (20 papers) and Mobile Crowdsensing and Crowdsourcing (17 papers). Luca Bedogni collaborates with scholars based in Italy, Germany and United States. Luca Bedogni's co-authors include Luciano Bononi, Marco Di Felice, Federico Montori, Angelo Trotta, Tullio Salmon Cinotti, Alfredo D’Elia, Marco Fiore, Francesco Ferrero, Andrea Vesco and Marco Gramaglia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Luca Bedogni

80 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Bedogni Italy 19 562 543 241 201 150 99 1.2k
Hirozumi Yamaguchi Japan 21 767 1.4× 743 1.4× 225 0.9× 284 1.4× 95 0.6× 206 1.6k
Joongheon Kim South Korea 18 946 1.7× 490 0.9× 164 0.7× 203 1.0× 141 0.9× 76 1.4k
Michel Goraczko United States 14 772 1.4× 990 1.8× 196 0.8× 244 1.2× 54 0.4× 19 1.6k
Rijurekha Sen India 14 925 1.6× 246 0.5× 191 0.8× 262 1.3× 55 0.4× 41 1.4k
Juan Ramón Santana Spain 15 534 1.0× 642 1.2× 155 0.6× 179 0.9× 32 0.2× 40 1.3k
Kai Xing China 21 419 0.7× 814 1.5× 122 0.5× 79 0.4× 54 0.4× 60 1.3k
Arvind Thiagarajan United States 9 431 0.8× 306 0.6× 499 2.1× 223 1.1× 61 0.4× 11 1.3k
Rodolfo I. Meneguette Brazil 22 805 1.4× 758 1.4× 128 0.5× 143 0.7× 223 1.5× 130 1.4k
Nizar Zorba Qatar 20 1.6k 2.8× 592 1.1× 73 0.3× 101 0.5× 195 1.3× 143 2.1k
Christos Laoudias Cyprus 20 1.1k 1.9× 431 0.8× 163 0.7× 196 1.0× 53 0.4× 79 1.6k

Countries citing papers authored by Luca Bedogni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bedogni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bedogni

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

All Works

20 of 20 papers shown
1.
Franco, Francesco, Alessandro Bogliolo, Sara Montagna, Luca Bedogni, & Stefano Ferretti. (2025). Decentralized Health Data Management: An IPFS-based Approach and Performance Evaluation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5.
3.
Bedogni, Luca & Federico Chiariotti. (2025). A Web of Things approach for learning on the Edge–Cloud Continuum. Future Generation Computer Systems. 167. 107736–107736.
4.
Suffritti, Chiara, Luca Bedogni, Francesco Franco, et al.. (2024). Optimizing long-term joint health in the treatment of hemophilia. Expert Review of Hematology. 17(10). 713–721. 2 indexed citations
5.
Picone, Marco, et al.. (2024). Dynamic Function Validation and Simulation in Fluid Digital Twins. 1–9. 1 indexed citations
6.
Bedogni, Luca, et al.. (2024). Performance Evaluation of Split Computing with TinyML on IoT Devices. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–6. 1 indexed citations
7.
Bedogni, Luca, et al.. (2024). Smart Split: Leveraging TinyML and Split Computing for Efficient Edge AI. IRIS UNIMORE (University of Modena and Reggio Emilia). 456–460. 1 indexed citations
8.
Montanari, Andrea, et al.. (2024). Wearable Device Positioning for Activity Recognition and Monitoring. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–6. 1 indexed citations
9.
Montori, Federico & Luca Bedogni. (2023). Privacy preservation for spatio-temporal data in Mobile Crowdsensing scenarios. Pervasive and Mobile Computing. 90. 101755–101755. 9 indexed citations
10.
Bedogni, Luca & Federico Montori. (2023). Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems. Journal of Network and Computer Applications. 215. 103634–103634. 11 indexed citations
11.
Bedogni, Luca, et al.. (2023). Towards User Behavior Forecasting in Mobile Crowdsensing Applications. IRIS UNIMORE (University of Modena and Reggio Emilia). 141–148.
12.
Montori, Federico, et al.. (2023). Design and Development of a Mobile Dapp for Mobile Crowdsensing over EVM-enabled Blockchains. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 21–26.
13.
Bedogni, Luca, et al.. (2023). Flexible Automated Optical Inspection Architecture for Industry 4.0. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–6.
14.
Montori, Federico, et al.. (2023). Texting and Driving Recognition leveraging the Front Camera of Smartphones. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 8. 1098–1103.
15.
Bedogni, Luca, et al.. (2022). Re-identification Attack based on Few-Hints Dataset Enrichment for Ubiquitous Applications. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–6.
16.
Montori, Federico, et al.. (2022). Pedometers for Smartphones: Analysis and Comparison of Real-Time Algorithms. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6.
17.
Bedogni, Luca, et al.. (2021). Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training. SHILAP Revista de lepidopterología. 2(4). 590–609. 7 indexed citations
18.
Montori, Federico, Luca Bedogni, Claudio Fiandrino, Andrea Capponi, & Luciano Bononi. (2020). Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator. Computer Communications. 161. 225–237. 4 indexed citations
19.
Bedogni, Luca, Luciano Bononi, & Alberto Borghetti. (2016). An integrated traffic and power grid simulator enabling the assessment of e-mobility impact on the grid: a tool for the implementation of the smart grid/city concept. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1(1). 73–89. 2 indexed citations
20.
Bedogni, Luca, et al.. (2015). Park Here! a smart parking system based on smartphones' embedded sensors and short range Communication Technologies. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 18–23. 65 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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