Luca Ulrich
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
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- Augmented Reality Applications
- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Augmented Reality Applications 6
- Face recognition and analysis 4
- Face and Expression Recognition 3
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- Virtual Reality Applications and Impacts 5
- Hand Gesture Recognition Systems 3
- Co-authors
- Enrico Vezzetti (23 shared papers)Federica Marcolin (13 shared papers)Sandro Moos (11 shared papers)Francesca Nonis (7 shared papers)Stefano Tornincasa (2 shared papers)Francesco Ferrise (4 shared papers)Giulia Wally Scurati (4 shared papers)Ivonne Angélica Castiblanco Jiménez (2 shared papers)
In The Last Decade
Luca Ulrich
27 papers receiving 429 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 143
- Computer Vision and Pattern Recognition 174
- Health Informatics 8
- Geology 32
- Museology 18
Countries citing papers authored by Luca Ulrich
This map shows the geographic impact of Luca Ulrich'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 Luca Ulrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Ulrich more than expected).
Fields of papers citing papers by Luca Ulrich
This network shows the impact of papers produced by Luca Ulrich. 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 Luca Ulrich. The network helps show where Luca Ulrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Ulrich, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2017 | 62 | |
| 3 | 2023 | 58 | |
| 4 | 2020 | 33 | |
| 5 | 2024 | 26 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2022 | 5 |
About Luca Ulrich
Luca Ulrich is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Surgery, Cognitive Neuroscience and Biomedical Engineering, having authored 32 papers that have together received 448 indexed citations. Recurring topics across this work include Augmented Reality Applications (6 papers), Surgical Simulation and Training (6 papers), Virtual Reality Applications and Impacts (5 papers), Color perception and design (5 papers), Anatomy and Medical Technology (4 papers), Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Computer Vision and Pattern Recognition (174 citations), Health Informatics (8 citations), Geology (32 citations) and Museology (18 citations). Luca Ulrich has collaborated with scholars based in Italy, Qatar and Sweden. Frequent co-authors include Enrico Vezzetti, Federica Marcolin, Sandro Moos, Francesca Nonis, Stefano Tornincasa, Francesco Ferrise, Giulia Wally Scurati, Ivonne Angélica Castiblanco Jiménez, Maria Grazia Violante and Francesco Porpiglia. Their work appears in journals such as Applied Sciences, Multimedia Tools and Applications, Scientific Reports, Future Internet and Electronics.
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.