Paolo Baronti
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 5%
- Co-authors
- Stefano ChessaPrashant PillaiAlberto GottaYim Fun HuFilippo PalumboPaolo BarsocchiMichele GirolamiFrancesco Furfari
- Topics
- Indoor and Outdoor Localization Technologies (5 papers)Energy Efficient Wireless Sensor Networks (5 papers)Context-Aware Activity Recognition Systems (5 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- EnergySensorsComputer Communications
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Paolo Baronti
13 papers receiving 994 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 814
- Electrical and Electronic Engineering 580
- Biomedical Engineering 135
- Computer Vision and Pattern Recognition 129
- Ocean Engineering 91
Countries citing papers authored by Paolo Baronti
This map shows the geographic impact of Paolo Baronti'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 Baronti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Baronti more than expected).
Fields of papers citing papers by Paolo Baronti
This network shows the impact of papers produced by Paolo Baronti. 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 Baronti. The network helps show where Paolo Baronti may publish in the future.
Co-authorship network of co-authors of Paolo Baronti
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Baronti. A scholar is included among the top collaborators of Paolo Baronti 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 Baronti. Paolo Baronti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 35 | |
| 6 | 4 | |
| 7 | 57 | |
| 8 | 2 | |
| 9 | Query Optimization for Wireless Sensor Network Databases in the MadWise system. | 2 |
| 10 | Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standardsbreakdown → | 968 |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 |
About Paolo Baronti
Paolo Baronti is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (814 citations), Electrical and Electronic Engineering (580 citations) and Computer Vision and Pattern Recognition (129 citations). Paolo Baronti has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Stefano Chessa, Prashant Pillai, Alberto Gotta, Yim Fun Hu, Filippo Palumbo, Paolo Barsocchi, Michele Girolami, Francesco Furfari, Antonino Crivello and Darwin Quezada-Gaibor. Their work appears in journals such as Energy, Sensors and Computer Communications.
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.