Diego Dall’Alba

1.0k total citations
59 papers, 588 citations indexed

About

Diego Dall’Alba is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diego Dall’Alba has authored 59 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 23 papers in Surgery and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diego Dall’Alba's work include Soft Robotics and Applications (20 papers), Surgical Simulation and Training (18 papers) and Anatomy and Medical Technology (12 papers). Diego Dall’Alba is often cited by papers focused on Soft Robotics and Applications (20 papers), Surgical Simulation and Training (18 papers) and Anatomy and Medical Technology (12 papers). Diego Dall’Alba collaborates with scholars based in Italy, France and Denmark. Diego Dall’Alba's co-authors include Paolo Fiorini, Riccardo Muradore, Arianna Menciassi, Thiusius Rajeeth Savarimuthu, Kim Mathiassen, Ole Jakob Elle, Alı́cia Casals, Marco Piccinelli, Jacques Marescaux and Cristians González and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and IEEE Transactions on Control Systems Technology.

In The Last Decade

Diego Dall’Alba

56 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Dall’Alba Italy 14 334 192 125 122 92 59 588
Jie Ying Wu United States 13 222 0.7× 221 1.2× 64 0.5× 171 1.4× 85 0.9× 78 611
Yangxin Xu Hong Kong 15 235 0.7× 99 0.5× 136 1.1× 111 0.9× 48 0.5× 24 555
Hamed Saeidi United States 13 231 0.7× 209 1.1× 126 1.0× 68 0.6× 30 0.3× 33 541
Azad Shademan Canada 14 316 0.9× 232 1.2× 107 0.9× 257 2.1× 53 0.6× 30 755
Ulrich Reiser Germany 10 183 0.5× 125 0.7× 132 1.1× 128 1.0× 76 0.8× 21 727
Long Wang United States 17 553 1.7× 149 0.8× 277 2.2× 91 0.7× 40 0.4× 63 763
Oliver Zettinig Germany 11 382 1.1× 198 1.0× 72 0.6× 143 1.2× 49 0.5× 21 628
Kyriakos M. Deliparaschos Cyprus 6 146 0.4× 113 0.6× 119 1.0× 96 0.8× 93 1.0× 23 404
Mali Shen United Kingdom 12 176 0.5× 98 0.5× 38 0.3× 113 0.9× 59 0.6× 16 424
Benjamin Frisch United States 12 341 1.0× 181 0.9× 78 0.6× 113 0.9× 41 0.4× 21 561

Countries citing papers authored by Diego Dall’Alba

Since Specialization
Citations

This map shows the geographic impact of Diego Dall’Alba'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 Diego Dall’Alba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Dall’Alba more than expected).

Fields of papers citing papers by Diego Dall’Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Dall’Alba. 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 Diego Dall’Alba. The network helps show where Diego Dall’Alba may publish in the future.

Co-authorship network of co-authors of Diego Dall’Alba

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Dall’Alba. A scholar is included among the top collaborators of Diego Dall’Alba 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 Diego Dall’Alba. Diego Dall’Alba 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.
Dall’Alba, Diego, et al.. (2025). Towards an intuitive industrial teaching interface for collaborative robots: gamepad teleoperation vs. kinesthetic teaching. The International Journal of Advanced Manufacturing Technology. 138(3-4). 1505–1522.
2.
3.
Dall’Alba, Diego, et al.. (2024). Imitation Learning of Compression Pattern in Robotic-Assisted Ultrasound Examination Using Kernelized Movement Primitives. IEEE Transactions on Medical Robotics and Bionics. 6(4). 1567–1580. 4 indexed citations
4.
Lavanchy, Joël L., Diego Dall’Alba, Cristians González, et al.. (2024). Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2249–2257. 6 indexed citations
5.
Dall’Alba, Diego, et al.. (2023). Minimal data requirement for realistic endoscopic image generation with Stable Diffusion. International Journal of Computer Assisted Radiology and Surgery. 19(3). 531–539. 9 indexed citations
6.
Mendizábal, Andrea, et al.. (2023). Intraoperative estimation of liver boundary conditions from multiple partial surfaces. International Journal of Computer Assisted Radiology and Surgery. 18(7). 1295–1302. 2 indexed citations
7.
Dall’Alba, Diego, Cristians González, Tong Yu, et al.. (2023). TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos. International Journal of Computer Assisted Radiology and Surgery. 18(9). 1665–1672. 2 indexed citations
8.
Dall’Alba, Diego, et al.. (2023). Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain. Applied Intelligence. 53(22). 26351–26363. 3 indexed citations
9.
Fiorini, Paolo, et al.. (2023). Autonomous Robotic Surgical Systems: Needing Common Sense to Achieve Higher Levels of Autonomy [Opinion]. IEEE Robotics & Automation Magazine. 30(3). 149–163. 3 indexed citations
10.
Farinelli, Alessandro, et al.. (2023). Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. 10289–10294. 4 indexed citations
11.
Rossi, Giacomo De, et al.. (2022). EndoVine: Soft Robotic Endoscope for Colonoscopy. 117–118. 1 indexed citations
12.
Rosa, Benoît, Philippe Zanne, Diego Dall’Alba, et al.. (2021). Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning. IEEE Transactions on Medical Robotics and Bionics. 3(4). 855–865. 2 indexed citations
13.
Dall’Alba, Diego, Cristians González, Tong Yu, et al.. (2021). Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. arXiv (Cornell University). 57 indexed citations
14.
Dall’Alba, Diego, et al.. (2020). Biomechanical modelling of probe to tissue interaction during ultrasound scanning. International Journal of Computer Assisted Radiology and Surgery. 15(8). 1379–1387. 10 indexed citations
15.
Dall’Alba, Diego, et al.. (2019). Position-based modeling of lesion displacement in ultrasound-guided breast biopsy. International Journal of Computer Assisted Radiology and Surgery. 14(8). 1329–1339. 16 indexed citations
16.
Diodato, Alessandro, Margherita Brancadoro, Giacomo De Rossi, et al.. (2018). Soft Robotic Manipulator for Improving Dexterity in Minimally Invasive Surgery. Surgical Innovation. 25(1). 69–76. 52 indexed citations
17.
Mariani, Andrea, et al.. (2018). Advanced User Interface for Augmented Information Display on Endoscopic Surgical Images. 67–68. 1 indexed citations
18.
Groenhuis, Vincent, Francesco Visentin, Françoise J. Siepel, et al.. (2018). Analytical derivation of elasticity in breast phantoms for deformation tracking. International Journal of Computer Assisted Radiology and Surgery. 13(10). 1641–1650. 3 indexed citations
19.
Visentin, Francesco, Vincent Groenhuis, Bogdan Maris, et al.. (2018). Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. Medical & Biological Engineering & Computing. 57(4). 913–924. 8 indexed citations
20.
Dall’Alba, Diego, et al.. (2017). Role of virtual simulation in surgical training. Journal of Visualized Surgery. 3. 23–23. 5 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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