Alı́cia Casals

203 total papers · 1.7k total citations
94 papers, 990 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 990 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, Jordi Freixenet, Vijaykumar Rajasekaran 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 948 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alı́cia Casals 487 255 214 210 148 94 990
José María Sabater-Navarro 626 1.3× 100 0.4× 84 0.4× 200 1.0× 159 1.1× 119 1.2k
R.E. Ellis 508 1.0× 147 0.6× 495 2.3× 163 0.8× 192 1.3× 61 1.1k
Sachin Patil 445 0.9× 140 0.5× 322 1.5× 166 0.8× 135 0.9× 71 983
Sanja Dogramadzi 409 0.8× 129 0.5× 257 1.2× 250 1.2× 131 0.9× 91 1.1k
Ehsan T. Esfahani 289 0.6× 73 0.3× 139 0.6× 219 1.0× 127 0.9× 65 939
Shinsuk Park 668 1.4× 94 0.4× 96 0.4× 246 1.2× 131 0.9× 66 1.2k
Salvatore Sessa 338 0.7× 178 0.7× 89 0.4× 91 0.4× 76 0.5× 70 880
Jianhua Wang 717 1.5× 84 0.3× 78 0.4× 129 0.6× 74 0.5× 111 1.0k
H.G. Stassen 386 0.8× 182 0.7× 480 2.2× 98 0.5× 75 0.5× 74 1.2k
Hiroyasu Iwata 538 1.1× 96 0.4× 117 0.5× 308 1.5× 231 1.6× 195 1.1k

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

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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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