Alı́cia Casals

1.7k total citations
94 papers, 999 citations indexed

About

Alı́cia Casals is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Alı́cia Casals has authored 94 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 32 papers in Computer Vision and Pattern Recognition and 29 papers in Control and Systems Engineering. Recurrent topics in Alı́cia Casals's work include Robot Manipulation and Learning (24 papers), Soft Robotics and Applications (19 papers) and Surgical Simulation and Training (15 papers). Alı́cia Casals is often cited by papers focused on Robot Manipulation and Learning (24 papers), Soft Robotics and Applications (19 papers) and Surgical Simulation and Training (15 papers). Alı́cia Casals collaborates with scholars based in Spain, Italy and United States. Alı́cia Casals's co-authors include Josep Amat, Angelica I. Avilés-Rivero, Pilar Sobrevilla, James K. Hahn, Éric Laporte, Joan Aranda, Wojciech Samek, Vijaykumar Rajasekaran, Jordi Freixenet and J. Batlle and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Power Delivery.

In The Last Decade

Alı́cia Casals

90 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alı́cia Casals Spain 17 493 255 216 212 149 94 999
R.E. Ellis Canada 20 509 1.0× 147 0.6× 496 2.3× 163 0.8× 191 1.3× 61 1.1k
Ehsan T. Esfahani United States 16 290 0.6× 73 0.3× 140 0.6× 219 1.0× 127 0.9× 65 943
Yili Fu China 23 1.1k 2.2× 528 2.1× 302 1.4× 531 2.5× 349 2.3× 199 1.9k
Jianhua Wang China 18 735 1.5× 84 0.3× 78 0.4× 130 0.6× 76 0.5× 111 1.1k
Carl A. Moore United States 15 339 0.7× 119 0.5× 234 1.1× 335 1.6× 361 2.4× 44 1.1k
H.G. Stassen Netherlands 19 386 0.8× 183 0.7× 483 2.2× 98 0.5× 75 0.5× 74 1.2k
Jacob Apkarian Canada 13 268 0.5× 87 0.3× 100 0.5× 521 2.5× 348 2.3× 42 1.0k
Manuel Ferré Spain 20 495 1.0× 173 0.7× 94 0.4× 491 2.3× 687 4.6× 138 1.5k
Stefano Pastorelli Italy 17 278 0.6× 138 0.5× 72 0.3× 321 1.5× 235 1.6× 106 1.0k
Siyang Zuo China 17 610 1.2× 99 0.4× 210 1.0× 128 0.6× 162 1.1× 89 1.2k

Countries citing papers authored by Alı́cia Casals

Since Specialization
Citations

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

Fields of papers citing papers by Alı́cia Casals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alı́cia Casals. 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 Alı́cia Casals. The network helps show where Alı́cia Casals may publish in the future.

Co-authorship network of co-authors of Alı́cia Casals

This figure shows the co-authorship network connecting the top 25 collaborators of Alı́cia Casals. A scholar is included among the top collaborators of Alı́cia Casals 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 Alı́cia Casals. Alı́cia Casals 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.
Eixarch, E., et al.. (2024). Robust tracking of deformable anatomical structures with severe occlusions using deformable geometrical primitives. Computer Methods and Programs in Biomedicine. 251. 108201–108201. 1 indexed citations
2.
Wu, Di, Diego Dall’Alba, Zhen Li, et al.. (2024). A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going. Biomedical Signal Processing and Control. 93. 106179–106179. 8 indexed citations
3.
Li, Mingjing, Richard J. Schilling, Leiting Dong, et al.. (2023). An explicit total Lagrangian Fragile Points Method for finite deformation of hyperelastic materials. Engineering Analysis with Boundary Elements. 151. 255–264. 6 indexed citations
4.
Mazzotta, Alessandro, Sebastian Schostek, Alı́cia Casals, et al.. (2023). Physical Simulator for Colonoscopy: A Modular Design Approach and Validation. IEEE Access. 11. 36945–36960. 8 indexed citations
5.
Rovira, Ramón, et al.. (2023). EndoTrainer: a novel hybrid training platform for endoscopic surgery. International Journal of Computer Assisted Radiology and Surgery. 18(5). 899–908. 1 indexed citations
6.
Eixarch, E., et al.. (2023). Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation. Artificial Intelligence in Medicine. 147. 102725–102725. 2 indexed citations
7.
Casals, Alı́cia, et al.. (2022). Beat-to-beat fetal heart rate analysis using portable medical device and wavelet transformation technique. Heliyon. 8(12). e12655–e12655. 11 indexed citations
8.
Dall’Alba, Diego, et al.. (2022). Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9582–9588. 13 indexed citations
9.
Valdivia, Pablo Cortegoso, Alı́cia Casals, Arianna Menciassi, et al.. (2021). Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives. Cancers. 13(6). 1427–1427. 40 indexed citations
10.
Avilés-Rivero, Angelica I., et al.. (2018). Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions. International Journal of Computer Assisted Radiology and Surgery. 13(3). 353–361. 1 indexed citations
11.
Avilés-Rivero, Angelica I., et al.. (2016). A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery. 1113–1119. 32 indexed citations
12.
Avilés-Rivero, Angelica I., et al.. (2015). Automatic and robust single-camera specular highlight removal in cardiac images. PubMed. 2015. 675–8. 19 indexed citations
13.
Casals, Alı́cia, et al.. (2015). A multi-robot cooperation strategy for dexterous task oriented teleoperation. Robotics and Autonomous Systems. 68. 156–172. 14 indexed citations
14.
Avilés-Rivero, Angelica I., Pilar Sobrevilla, & Alı́cia Casals. (2014). Unconstrained &#x2113;<inf>1</inf> &#x2014; regularized minimization with interpolated transformations for heart motion compensation. PubMed. 41. 5109–5112. 4 indexed citations
15.
Badesa, Francisco J., et al.. (2013). Auto-adaptive robot-aided therapy using machine learning techniques. Computer Methods and Programs in Biomedicine. 116(2). 123–130. 49 indexed citations
16.
Amat, Josep, et al.. (2009). Optimization criterion for safety task transfer in cooperative robotics. 1–6. 5 indexed citations
17.
Otero, Jorge, et al.. (2009). Micro-to-nano optical resolution in a multirobot nanobiocharacterization station. 148. 5357–5362. 3 indexed citations
18.
Casals, Alı́cia, et al.. (2005). Towards the definition of a functionality index for the quantitative evaluation of hand-prosthesis. 541–546. 7 indexed citations
19.
Casals, Alı́cia, et al.. (2002). Autonomous navigation in ill-structured outdoor environment. 1. 395–400. 16 indexed citations
20.
Amat, Josep & Alı́cia Casals. (1989). Real Time Tracking of Targets from a Mobile Robot. 361–367. 2 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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