Simone Angarano
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Vision and Imaging 3
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- Natural Language Processing Techniques 1
- Co-authors
- Marcello Chiaberge (10 shared papers)Francesco Salvetti (6 shared papers)Vittorio Mazzia (3 shared papers)Federico Angelini (1 shared paper)
- Journals
- Pattern Recognition (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Robotics and Autonomous Systems (1 paper)Sensors (1 paper)2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (1 paper)
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Simone Angarano
9 papers receiving 281 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 199
- Human-Computer Interaction 36
- Artificial Intelligence 98
- Signal Processing 14
- Aerospace Engineering 32
Countries citing papers authored by Simone Angarano
This map shows the geographic impact of Simone Angarano'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 Simone Angarano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Angarano more than expected).
Fields of papers citing papers by Simone Angarano
This network shows the impact of papers produced by Simone Angarano. 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 Simone Angarano. The network helps show where Simone Angarano may publish in the future.
Co-authors
The 4 scholars most cited alongside Simone Angarano, 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 | 2021 | 176 | |
| 2 | 2021 | 44 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 18 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 |
About Simone Angarano
Simone Angarano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Aerospace Engineering and Control and Systems Engineering, having authored 10 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Smart Agriculture and AI (3 papers), Robotics and Sensor-Based Localization (2 papers), Microwave Imaging and Scattering Analysis (1 paper), Natural Language Processing Techniques (1 paper), Plant Surface Properties and Treatments (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Human-Computer Interaction (36 citations), Artificial Intelligence (98 citations), Signal Processing (14 citations) and Aerospace Engineering (32 citations). Simone Angarano has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Marcello Chiaberge, Francesco Salvetti, Vittorio Mazzia and Federico Angelini. Their work appears in journals such as Pattern Recognition, Engineering Applications of Artificial Intelligence, Robotics and Autonomous Systems, Sensors and 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
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.