Luca Ulrich

749 total citations
32 papers, 448 citations indexed

About

Luca Ulrich is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Surgery. According to data from OpenAlex, Luca Ulrich has authored 32 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 8 papers in Surgery. Recurrent topics in Luca Ulrich's work include Surgical Simulation and Training (6 papers), Augmented Reality Applications (6 papers) and Virtual Reality Applications and Impacts (5 papers). Luca Ulrich is often cited by papers focused on Surgical Simulation and Training (6 papers), Augmented Reality Applications (6 papers) and Virtual Reality Applications and Impacts (5 papers). Luca Ulrich collaborates with scholars based in Italy, Qatar and Sweden. Luca Ulrich's co-authors include Enrico Vezzetti, Federica Marcolin, Sandro Moos, Francesca Nonis, Francesco Ferrise, Giulia Wally Scurati, Stefano Tornincasa, Ivonne Angélica Castiblanco Jiménez, Maria Grazia Violante and Francesco Porpiglia and has published in prestigious journals such as Scientific Reports, Sensors and Applied Sciences.

In The Last Decade

Luca Ulrich

27 papers receiving 429 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Ulrich Italy 12 174 143 66 62 48 32 448
Daniela Trevisan Brazil 15 178 1.0× 238 1.7× 26 0.4× 71 1.1× 36 0.8× 75 666
Patrick Bourdot France 13 173 1.0× 219 1.5× 24 0.4× 108 1.7× 39 0.8× 57 462
Farhan Mohamed Malaysia 11 231 1.3× 94 0.7× 24 0.4× 30 0.5× 24 0.5× 70 441
Rubén García Spain 6 203 1.2× 275 1.9× 23 0.3× 58 0.9× 53 1.1× 24 597
Jeffrey E. Boyd Canada 15 324 1.9× 123 0.9× 22 0.3× 57 0.9× 66 1.4× 55 659
Jason D. Moss United States 9 90 0.5× 299 2.1× 41 0.6× 113 1.8× 118 2.5× 20 470
Jeff K. T. Tang Hong Kong 11 315 1.8× 187 1.3× 34 0.5× 27 0.4× 26 0.5× 32 587
Tomasz Sapiński Poland 8 255 1.5× 240 1.7× 255 3.9× 57 0.9× 56 1.2× 16 655
Christoph Anthes Austria 10 303 1.7× 407 2.8× 18 0.3× 81 1.3× 58 1.2× 31 589
Changyang Li United States 7 301 1.7× 256 1.8× 16 0.2× 48 0.8× 83 1.7× 11 632

Countries citing papers authored by Luca Ulrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Luca Ulrich

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ulrich. A scholar is included among the top collaborators of Luca Ulrich 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 Luca Ulrich. Luca Ulrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ulrich, Luca, et al.. (2026). A metrological approach for Augmented Reality tooltip tracking assessment. Computers in Industry. 175. 104430–104430.
3.
Ulrich, Luca, et al.. (2026). An End-to-End Radiomic Framework for Automatic Vertebral Lesion Classification and 3D Visualization. Eng—Advances in Engineering. 7(1). 18–18.
4.
Cavallaro, Alexander, et al.. (2025). Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis. Applied Sciences. 15(2). 833–833. 2 indexed citations
5.
Ulrich, Luca, et al.. (2025). MOTT modular optical tool tracking framework enabling efficient benchmarking. Scientific Reports. 15(1). 37205–37205.
6.
Ulrich, Luca, et al.. (2025). ReHAb Playground: A DL-Based Framework for Game-Based Hand Rehabilitation. Future Internet. 17(11). 522–522. 1 indexed citations
7.
Titolo, Paolo, Massimo Salvi, Filippo Molinari, et al.. (2025). Validation Study on Iatrogenic Nerve Damage Reduction Using Augmented Reality on Elbow Phantom. PubMed. 3(2). 100221–100221.
8.
Ulrich, Luca, et al.. (2025). Home-based mirror therapy in phantom limb pain treatment: the augmented humans framework. Multimedia Tools and Applications. 84(28). 34145–34177. 2 indexed citations
9.
Titolo, Paolo, Massimo Salvi, Filippo Molinari, et al.. (2025). Augmented reality simulation framework for minimally invasive orthopedic surgery. Computers in Biology and Medicine. 189. 109943–109943. 5 indexed citations
10.
Ulrich, Luca, et al.. (2024). How to exploit Augmented Reality (AR) technology in patient customized surgical tools: a focus on osteotomies. Multimedia Tools and Applications. 83(27). 70257–70288. 8 indexed citations
11.
Ulrich, Luca, et al.. (2024). Classification of AO/OTA 31A/B femur fractures in X-ray images using YOLOv8 and advanced data augmentation techniques. Bone Reports. 22. 101801–101801. 6 indexed citations
12.
Ulrich, Luca, Federica Marcolin, Enrico Vezzetti, et al.. (2023). CalD3r and MenD3s: Spontaneous 3D facial expression databases. Journal of Visual Communication and Image Representation. 98. 104033–104033. 4 indexed citations
13.
Jiménez, Ivonne Angélica Castiblanco, Francesca Nonis, Luca Ulrich, et al.. (2023). Exploring User Engagement in Museum Scenario with EEG—A Case Study in MAV Craftsmanship Museum in Valle d’Aosta Region, Italy. Electronics. 12(18). 3810–3810. 5 indexed citations
14.
Ulrich, Luca, et al.. (2023). Machine learning for the classification of macroscale fracture surfaces. Practical Metallography. 60(6). 352–362. 2 indexed citations
15.
Jiménez, Ivonne Angélica Castiblanco, et al.. (2022). User Engagement Comparison between Advergames and Traditional Advertising Using EEG: Does the User’s Engagement Influence Purchase Intention?. Electronics. 12(1). 122–122. 23 indexed citations
16.
Marcolin, Federica, Giulia Wally Scurati, Luca Ulrich, et al.. (2022). A design methodology for affective Virtual Reality. International Journal of Human-Computer Studies. 162. 102791–102791. 75 indexed citations
17.
Ulrich, Luca, Francesca Nonis, Enrico Vezzetti, et al.. (2021). Can ADAS Distract Driver’s Attention? An RGB-D Camera and Deep Learning-Based Analysis. Applied Sciences. 11(24). 11587–11587. 7 indexed citations
18.
Marcolin, Federica, Giulia Wally Scurati, Francesca Nonis, et al.. (2021). Development of an affective database made of interactive virtual environments. Scientific Reports. 11(1). 24108–24108. 19 indexed citations
19.
Marcolin, Federica, Giulia Wally Scurati, Luca Ulrich, et al.. (2021). Affective Virtual Reality: How to Design Artificial Experiences Impacting Human Emotions. IEEE Computer Graphics and Applications. 41(6). 171–178. 19 indexed citations
20.
Violante, Maria Grazia, et al.. (2019). 3D Facial Expression Recognition for Defining Users’ Inner Requirements—An Emotional Design Case Study. Applied Sciences. 9(11). 2218–2218. 15 indexed citations

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.

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