Bernardo Camajori Tedeschini
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Target Tracking and Data Fusion in Sensor Networks
Papers in
-
- Indoor and Outdoor Localization Technologies 10
- Millimeter-Wave Propagation and Modeling 3
- Vehicular Ad Hoc Networks (VANETs) 2
-
- Privacy-Preserving Technologies in Data 5
- Stochastic Gradient Optimization Techniques 3
- Target Tracking and Data Fusion in Sensor Networks 3
- Co-authors
- Monica Nicoli (20 shared papers)Luca Barbieri (5 shared papers)Mattia Brambilla (12 shared papers)Stefano Savazzi (4 shared papers)Luigi Serio (1 shared paper)Ioannis Stathopoulos (1 shared paper)Moe Z. Win (5 shared papers)Huiping Huang (1 shared paper)
- Journals
- IEEE Journal on Selected Areas in Communications (3 papers)IEEE Access (2 papers)IEEE Communications Surveys & Tutorials (1 paper)IEEE Communications Letters (1 paper)IEEE Transactions on Vehicular Technology (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Bernardo Camajori Tedeschini
17 papers receiving 273 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 13
- Artificial Intelligence 104
- Computer Networks and Communications 49
- Neurology 16
- Signal Processing 22
Countries citing papers authored by Bernardo Camajori Tedeschini
This map shows the geographic impact of Bernardo Camajori Tedeschini'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 Bernardo Camajori Tedeschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernardo Camajori Tedeschini more than expected).
Fields of papers citing papers by Bernardo Camajori Tedeschini
This network shows the impact of papers produced by Bernardo Camajori Tedeschini. 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 Bernardo Camajori Tedeschini. The network helps show where Bernardo Camajori Tedeschini may publish in the future.
Co-authors
The 18 scholars most cited alongside Bernardo Camajori Tedeschini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 106 | |
| 2 | 2024 | 34 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Bernardo Camajori Tedeschini
Bernardo Camajori Tedeschini is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Aerospace Engineering, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (10 papers), Privacy-Preserving Technologies in Data (5 papers), Stochastic Gradient Optimization Techniques (3 papers), Millimeter-Wave Propagation and Modeling (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Speech and Audio Processing (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). The work is most often cited by research in Health Informatics (13 citations), Artificial Intelligence (104 citations), Computer Networks and Communications (49 citations), Neurology (16 citations) and Signal Processing (22 citations). Bernardo Camajori Tedeschini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Monica Nicoli, Luca Barbieri, Mattia Brambilla, Stefano Savazzi, Luigi Serio, Ioannis Stathopoulos, Moe Z. Win, Huiping Huang, Henk Wymeersch and Máximo Cobos. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Access, IEEE Communications Surveys & Tutorials, IEEE Communications Letters and IEEE Transactions on Vehicular Technology.
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.