Davide La Rosa
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Building and Construction top 10%
- Co-authors
- Valeria PalombaFilippo PalumboSalvatore VastaPaolo BarsocchiAndrea FrazzicaVincenza BrancatoAntonino CrivelloLuigi Calabrese
- Topics
- Context-Aware Activity Recognition Systems (11 papers)Adsorption and Cooling Systems (8 papers)Indoor and Outdoor Localization Technologies (6 papers)
In The Last Decade
Davide La Rosa
33 papers receiving 548 citations
Peers
Comparison fields: 5 of 95
- Mechanical Engineering 284
- Electrical and Electronic Engineering 99
- Computer Vision and Pattern Recognition 69
- Renewable Energy, Sustainability and the Environment 64
- Building and Construction 53
Countries citing papers authored by Davide La Rosa
This map shows the geographic impact of Davide La Rosa'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 Davide La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide La Rosa more than expected).
Fields of papers citing papers by Davide La Rosa
This network shows the impact of papers produced by Davide La Rosa. 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 Davide La Rosa. The network helps show where Davide La Rosa may publish in the future.
Co-authorship network of co-authors of Davide La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Davide La Rosa. A scholar is included among the top collaborators of Davide La Rosa 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 Davide La Rosa. Davide La Rosa 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 51 | |
| 15 | INTESA: An Integrated ICT Solution for Promoting Wellbeing in Older People. | 3 |
| 16 | 51 | |
| 17 | 7 | |
| 18 | 35 | |
| 19 | 75 | |
| 20 | 18 |
About Davide La Rosa
Davide La Rosa is a scholar working on Transportation, Computer Vision and Pattern Recognition and Demography, having authored 36 papers that have together received 570 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Adsorption and Cooling Systems (8 papers) and Indoor and Outdoor Localization Technologies (6 papers). The work is most often cited by research in Mechanical Engineering (284 citations), Building and Construction (53 citations) and Renewable Energy, Sustainability and the Environment (64 citations). Davide La Rosa has collaborated with scholars based in Italy and Germany. Frequent co-authors include Valeria Palomba, Filippo Palumbo, Salvatore Vasta, Paolo Barsocchi, Andrea Frazzica, Vincenza Brancato, Antonino Crivello, Luigi Calabrese, Alessio Sapienza and Erina Ferro. Their work appears in journals such as Applied Energy, Energy Conversion and Management and Sensors.
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.