Paolo Barsocchi
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Co-authors
- Stefano ChessaAkash Kumar BhoiFilippo PalumboFrancesco PotortìMichele GirolamiAntonino CrivelloErina FerroFrancesco Furfari
- Topics
- Indoor and Outdoor Localization Technologies (47 papers)Context-Aware Activity Recognition Systems (29 papers)Underwater Vehicles and Communication Systems (14 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentIEEE Access
In The Last Decade
Paolo Barsocchi
122 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Electrical and Electronic Engineering 1.1k
- Computer Networks and Communications 644
- Computer Vision and Pattern Recognition 500
- Artificial Intelligence 372
- Aerospace Engineering 339
Countries citing papers authored by Paolo Barsocchi
This map shows the geographic impact of Paolo Barsocchi'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 Paolo Barsocchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Barsocchi more than expected).
Fields of papers citing papers by Paolo Barsocchi
This network shows the impact of papers produced by Paolo Barsocchi. 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 Paolo Barsocchi. The network helps show where Paolo Barsocchi may publish in the future.
Co-authorship network of co-authors of Paolo Barsocchi
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Barsocchi. A scholar is included among the top collaborators of Paolo Barsocchi 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 Paolo Barsocchi. Paolo Barsocchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detectionbreakdown → | 108 |
| 5 | 7 | |
| 6 | 23 | |
| 7 | 21 | |
| 8 | 112 | |
| 9 | 45 | |
| 10 | 24 | |
| 11 | 12 | |
| 12 | 75 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | 23 | |
| 16 | 57 | |
| 17 | 64 | |
| 18 | 51 | |
| 19 | 3 | |
| 20 | Reservoir Computing Forecasting of User Movements from RSS Mote-Class Sensors Measurement | 2 |
About Paolo Barsocchi
Paolo Barsocchi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 126 papers that have together received 2.7k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (47 papers), Context-Aware Activity Recognition Systems (29 papers) and Underwater Vehicles and Communication Systems (14 papers). The work is most often cited by research in Computer Networks and Communications (644 citations), Computer Vision and Pattern Recognition (500 citations) and Signal Processing (251 citations). Paolo Barsocchi has collaborated with scholars based in Italy, India and Spain. Frequent co-authors include Stefano Chessa, Akash Kumar Bhoi, Filippo Palumbo, Francesco Potortì, Michele Girolami, Antonino Crivello, Erina Ferro, Francesco Furfari, Alberto Gotta and Manlio Bacco. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Access.
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.