Marco Bassoli

649 total citations · 1 hit paper
8 papers, 453 citations indexed

About

Marco Bassoli is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Bassoli has authored 8 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Bassoli's work include Context-Aware Activity Recognition Systems (4 papers), Energy Efficient Wireless Sensor Networks (3 papers) and IoT-based Smart Home Systems (3 papers). Marco Bassoli is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Energy Efficient Wireless Sensor Networks (3 papers) and IoT-based Smart Home Systems (3 papers). Marco Bassoli collaborates with scholars based in Italy. Marco Bassoli's co-authors include Valentina Bianchi, Ilaria De Munari, Monica Mordonini, Paolo Fornacciari, Gianfranco Lombardo, Paolo Ciampolini, Andrea Boni, Marco Giannetto, Simone Fortunati and Maria Careri and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Marco Bassoli

8 papers receiving 436 citations

Hit Papers

IoT Wearable Sensor and Deep Learning: An Integrated Appr... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Bassoli Italy 7 243 148 139 121 78 8 453
Stefano Galzarano Italy 10 200 0.8× 262 1.8× 222 1.6× 100 0.8× 57 0.7× 17 508
Philip Kuryloski United States 6 252 1.0× 268 1.8× 298 2.1× 93 0.8× 48 0.6× 10 549
Kai Tang China 7 118 0.5× 51 0.3× 122 0.9× 105 0.9× 76 1.0× 35 359
Yin Tang China 11 514 2.1× 134 0.9× 231 1.7× 45 0.4× 187 2.4× 26 659
M. Saeed Darweesh Egypt 11 89 0.4× 63 0.4× 42 0.3× 122 1.0× 75 1.0× 68 405
Dipanwita Thakur India 10 188 0.8× 91 0.6× 71 0.5× 35 0.3× 85 1.1× 27 324
Vitali Loseu United States 9 175 0.7× 125 0.8× 188 1.4× 127 1.0× 33 0.4× 18 433
Jason Waterman United States 10 78 0.3× 216 1.5× 52 0.4× 86 0.7× 57 0.7× 22 339

Countries citing papers authored by Marco Bassoli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bassoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Bassoli

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

All Works

8 of 8 papers shown
1.
Bianchi, Valentina, Andrea Boni, Marco Bassoli, et al.. (2021). IoT and Biosensors: A Smart Portable Potentiostat With Advanced Cloud-Enabled Features. IEEE Access. 9. 141544–141554. 21 indexed citations
2.
Bassoli, Marco, Valentina Bianchi, & Ilaria De Munari. (2020). A Model-Based Design Floating-Point Accumulator. Case of Study: FPGA Implementation of a Support Vector Machine Kernel Function. Sensors. 20(5). 1362–1362. 6 indexed citations
3.
Bianchi, Valentina, Marco Bassoli, & Ilaria De Munari. (2020). Comparison of FPGA and Microcontroller Implementations of an Innovative Method for Error Magnitude Evaluation in Reed–Solomon Codes. Electronics. 9(1). 89–89. 8 indexed citations
4.
Bianchi, Valentina, Marco Bassoli, Gianfranco Lombardo, et al.. (2019). IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment. IEEE Internet of Things Journal. 6(5). 8553–8562. 316 indexed citations breakdown →
5.
Bassoli, Marco, Valentina Bianchi, & Ilaria De Munari. (2018). A Plug and Play IoT Wi-Fi Smart Home System for Human Monitoring. Electronics. 7(9). 200–200. 40 indexed citations
6.
Bassoli, Marco, Valentina Bianchi, Ilaria De Munari, & Paolo Ciampolini. (2017). An IoT Approach for an AAL Wi-Fi-Based Monitoring System. IEEE Transactions on Instrumentation and Measurement. 66(12). 3200–3209. 52 indexed citations
7.
Bassoli, Marco, Valentina Bianchi, Ilaria De Munari, & Paolo Ciampolini. (2017). An unobtrusive Wi-Fi system for human monitoring. 29. 219–223. 3 indexed citations
8.
Bianchi, Valentina, et al.. (2017). The HELICOPTER project: Wireless sensor network for multi-user behavioral monitoring. 25. 1445–1454. 7 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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