Simone Porcu
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- Image and Video Quality Assessment
- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Image and Video Quality Assessment 19
- Visual Attention and Saliency Detection 4
- Digital Imaging for Blood Diseases 2
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- Emotion and Mood Recognition 4
- Co-authors
- Alessandro Floris (33 shared papers)Luigi Atzori (31 shared papers)Roberto Girau (3 shared papers)Jan‐Niklas Voigt‐Antons (2 shared papers)Sebastian Möller (2 shared papers)Andrea Loddo (2 shared papers)Lorenzo Putzu (2 shared papers)Claudio Marche (1 shared paper)
In The Last Decade
Simone Porcu
28 papers receiving 251 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 41
- Computer Vision and Pattern Recognition 111
- Media Technology 35
- Experimental and Cognitive Psychology 42
- Building and Construction 36
Countries citing papers authored by Simone Porcu
This map shows the geographic impact of Simone Porcu'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 Porcu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Porcu more than expected).
Fields of papers citing papers by Simone Porcu
This network shows the impact of papers produced by Simone Porcu. 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 Porcu. The network helps show where Simone Porcu may publish in the future.
Co-authors
The 18 scholars most cited alongside Simone Porcu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Simone Porcu
Simone Porcu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Human-Computer Interaction, Sociology and Political Science and Electrical and Electronic Engineering, having authored 36 papers that have together received 264 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (19 papers), Multimedia Communication and Technology (5 papers), Visual Attention and Saliency Detection (4 papers), Emotion and Mood Recognition (4 papers), Speech and Audio Processing (3 papers), Green IT and Sustainability (2 papers), Color perception and design (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Computer Vision and Pattern Recognition (111 citations), Media Technology (35 citations), Experimental and Cognitive Psychology (42 citations) and Building and Construction (36 citations). Simone Porcu has collaborated with scholars based in Italy, Germany and Romania. Frequent co-authors include Alessandro Floris, Luigi Atzori, Roberto Girau, Jan‐Niklas Voigt‐Antons, Sebastian Möller, Andrea Loddo, Lorenzo Putzu, Claudio Marche, Cecilia Di Ruberto and Christian Timmerer. Their work appears in journals such as Computer Networks, ACM Transactions on Multimedia Computing Communications and Applications, Computer Communications, Image and Vision Computing and IEEE Transactions on Network and Service Management.
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.