Marco Bassoli
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Ilaria De MunariValentina BianchiGianfranco LombardoPaolo FornacciariMonica MordoniniPaolo CiampoliniMaria CareriAndrea Boni
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Energy Efficient Wireless Sensor Networks (3 papers)IoT-based Smart Home Systems (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsBiomedical Engineering
- Partner nations
- Italy
In The Last Decade
Marco Bassoli
8 papers receiving 436 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 243
- Computer Networks and Communications 148
- Biomedical Engineering 139
- Electrical and Electronic Engineering 121
- Artificial Intelligence 78
Countries citing papers authored by Marco Bassoli
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environmentbreakdown → | 316 |
| 5 | 40 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 52 |
About Marco Bassoli
Marco Bassoli is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 8 papers that have together received 453 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Energy Efficient Wireless Sensor Networks (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Computer Networks and Communications (148 citations) and Biomedical Engineering (139 citations). Marco Bassoli has collaborated with scholars based in Italy. Frequent co-authors include Ilaria De Munari, Valentina Bianchi, Gianfranco Lombardo, Paolo Fornacciari, Monica Mordonini, Paolo Ciampolini, Maria Careri, Andrea Boni, Simone Fortunati and Marco Giannetto. Their work appears in journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.
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.