Daniele Palossi
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Luca BeniniFrancesco ContiMichele MagnoÉric FlamandAntonio LoquercioDavide ScaramuzzaAndrea MarongiuAlessandro Giusti
- Topics
- Robotics and Sensor-Based Localization (23 papers)UAV Applications and Optimization (13 papers)Advanced Neural Network Applications (12 papers)
- Journals
- IEEE Internet of Things JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- SwitzerlandItalyUnited Arab Emirates
In The Last Decade
Daniele Palossi
41 papers receiving 439 citations
Peers
Comparison fields: 5 of 58
- Aerospace Engineering 267
- Computer Vision and Pattern Recognition 198
- Electrical and Electronic Engineering 173
- Computer Networks and Communications 63
- Artificial Intelligence 57
Countries citing papers authored by Daniele Palossi
This map shows the geographic impact of Daniele Palossi'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 Daniele Palossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Palossi more than expected).
Fields of papers citing papers by Daniele Palossi
This network shows the impact of papers produced by Daniele Palossi. 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 Daniele Palossi. The network helps show where Daniele Palossi may publish in the future.
Co-authorship network of co-authors of Daniele Palossi
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Palossi. A scholar is included among the top collaborators of Daniele Palossi 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 Daniele Palossi. Daniele Palossi 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 43 | |
| 17 | 21 | |
| 18 | 3 | |
| 19 | 120 | |
| 20 | 13 |
About Daniele Palossi
Daniele Palossi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 44 papers that have together received 472 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), UAV Applications and Optimization (13 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Aerospace Engineering (267 citations), Computer Vision and Pattern Recognition (198 citations) and Hardware and Architecture (27 citations). Daniele Palossi has collaborated with scholars based in Switzerland, Italy and United Arab Emirates. Frequent co-authors include Luca Benini, Francesco Conti, Michele Magno, Éric Flamand, Antonio Loquercio, Davide Scaramuzza, Andrea Marongiu, Alessandro Giusti, Renzo Andri and Alessio Burrello. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Circuits and Systems I Regular Papers.
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.