Davide Anguita
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Luca OnetoAlessandro GhioSandro RidellaXavier ParraAlbert SamàAndrea CoradduAndrea BoniLuca Ghelardoni
- Topics
- Neural Networks and Applications (49 papers)Face and Expression Recognition (39 papers)Machine Learning and Algorithms (25 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSensorsIEEE Transactions on Smart Grid
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Davide Anguita
170 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 1.9k
- Electrical and Electronic Engineering 794
- Computer Networks and Communications 702
- Control and Systems Engineering 581
Countries citing papers authored by Davide Anguita
This map shows the geographic impact of Davide Anguita'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 Anguita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Anguita more than expected).
Fields of papers citing papers by Davide Anguita
This network shows the impact of papers produced by Davide Anguita. 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 Anguita. The network helps show where Davide Anguita may publish in the future.
Co-authorship network of co-authors of Davide Anguita
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Anguita. A scholar is included among the top collaborators of Davide Anguita 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 Anguita. Davide Anguita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | Emerging trends in machine learning: beyond conventional methods and data. | 1 |
| 12 | 60 | |
| 13 | 98 | |
| 14 | 9 | |
| 15 | 32 | |
| 16 | 88 | |
| 17 | 9 | |
| 18 | A public domain dataset for human activity recognition using smartphonesbreakdown → | 1164 |
| 19 | Human activity recognition on smartphones for mobile context awareness | 6 |
| 20 | Interval discriminant analysis using Support Vector Machines | 4 |
About Davide Anguita
Davide Anguita is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 176 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (49 papers), Face and Expression Recognition (39 papers) and Machine Learning and Algorithms (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (2.0k citations) and Transportation (240 citations). Davide Anguita has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Luca Oneto, Alessandro Ghio, Sandro Ridella, Xavier Parra, Albert Samà, Andrea Coraddu, Andrea Boni, Luca Ghelardoni, Giancarlo Parodi and Rodolfo Zunino. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Transactions on Smart Grid.
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.