Joan Cabestany

3.5k total citations
103 papers, 1.7k citations indexed

About

Joan Cabestany is a scholar working on Biomedical Engineering, Artificial Intelligence and Neurology. According to data from OpenAlex, Joan Cabestany has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 23 papers in Artificial Intelligence and 19 papers in Neurology. Recurrent topics in Joan Cabestany's work include Parkinson's Disease Mechanisms and Treatments (19 papers), Balance, Gait, and Falls Prevention (19 papers) and Neural Networks and Applications (14 papers). Joan Cabestany is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (19 papers), Balance, Gait, and Falls Prevention (19 papers) and Neural Networks and Applications (14 papers). Joan Cabestany collaborates with scholars based in Spain, Ireland and Italy. Joan Cabestany's co-authors include Albert Samà, Sergio Bermejo, Andreu Catalá, Carlos Pérez‐López, Daniel Rodríguez-Martín, Alejandro Rodríguez‐Molinero, F. Sandoval, A. Prieto, Luís Castañer and V. Parisi‐Baradad and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Joan Cabestany

99 papers receiving 1.7k citations

Peers

Joan Cabestany

NEURO

PTSTR

CVPR

Andreu Catalá Spain

Lorenzo Palma Italy

Paola Pierleoni Italy

Taishin Nomura Japan

Yoram Baram Israel

Nooritawati Md Tahir Malaysia

Siddharth Arora United Kingdom

Mohammad Reza Daliri Iran

Enas Abdulhay Jordan

Yuzhe Yang China

Andreu Catalá Spain

Joan Cabestany

371 ×0.7

NEURO

371 ×0.8

224 ×0.7

PTSTR

348 ×1.3

CVPR

259 ×1.0

Citations per year, relative to Joan Cabestany Joan Cabestany (= 1×) peers Andreu Catalá

Countries citing papers authored by Joan Cabestany

Since Specialization

Citations

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

Fields of papers citing papers by Joan Cabestany

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Cabestany

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rodríguez-Martín, Daniel, Andreu Catalá, & Joan Cabestany. (2025). Improving Parkinson’s disease management through wearable technology: A cost-benefit perspective. PLoS ONE. 20(10). e0334413–e0334413.

Rodríguez-Martín, Daniel, Joan Cabestany, Carlos Pérez‐López, et al.. (2022). A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM. Frontiers in Neurology. 13. 912343–912343. 30 indexed citations

Rodríguez-Martín, Daniel, Albert Samà, Andreu Catalá, et al.. (2015). Posture detection with waist-worn accelerometer : an application to improve Freezing of Gait detection in Parkinson’s disease patients. UPCommons institutional repository (Universitat Politècnica de Catalunya). 3–17. 1 indexed citations

Samà, Albert, Michael Lawo, Joan Cabestany, et al.. (2015). Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients. Medical & Biological Engineering & Computing. 54(1). 223–233. 95 indexed citations

Rodríguez‐Molinero, Alejandro, Albert Samà, David A. Pérez-Martínez, et al.. (2015). Validation of a Portable Device for Mapping Motor and Gait Disturbances in Parkinson’s Disease. JMIR mhealth and uhealth. 3(1). e9–e9. 44 indexed citations

Samà, Albert, et al.. (2013). A Heterogeneous Database for Movement Knowledge Extraction in Parkinson's Disease. The European Symposium on Artificial Neural Networks. 413–418. 14 indexed citations

Cabestany, Joan, et al.. (2013). FATE: One step towards an automatic aging people fall detection service. International Conference Mixed Design of Integrated Circuits and Systems. 545–552. 10 indexed citations

Rojas, Ignacio, Gonzalo Joya, & Joan Cabestany. (2013). Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I. DIAL (Catholic University of Leuven). 4 indexed citations

Ortiz, Jorge, Alessandro Ghio, Davide Anguita, et al.. (2013). Human activity and motion disorder recognition: towards smarter interactive cognitive environments. CINECA IRIS Institutial Research Information System (University of Genoa). 403–412. 33 indexed citations

10.

Samà, Albert, Carlos Pérez‐López, Daniel Rodríguez-Martín, et al.. (2012). Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor. PubMed. 2012. 1194–1197. 57 indexed citations

11.

Cabestany, Joan, Ignacio Rojas, & Gonzalo Joya. (2011). Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Mlaga, Spain, June ... Computer Science and General Issues). Springer eBooks. 1 indexed citations

12.

Cabestany, Joan, et al.. (2007). Multisite Recording of Extracellular Potentials Produced by Microchannel-Confined Neurons In-Vitro. IEEE Transactions on Biomedical Engineering. 54(2). 331–335. 32 indexed citations

13.

Ghirardi, Mirella, et al.. (2005). Multielectrode arrays with elastomeric microstructured overlays for extracellular recordings from patterned neurons. Journal of Neural Engineering. 2(2). L1–L7. 41 indexed citations

14.

Bermejo, Sergio, Joan Cabestany, & M. Magdalena Payeras–Capellà. (1998). A new dynamic LVQ-based classifier and its application to handwritten character recognition.. The European Symposium on Artificial Neural Networks. 203–208. 2 indexed citations

15.

Mira, José, Roberto Moreno-Díaz, & Joan Cabestany. (1997). Biological and artificial computation : from neurosciene to technology : International Work-Conference on Artificial and Natural Neural Networks, IWANN '97, Lanzarote, Canary Islands, Spain, June 4-6, 1997 : proceedings. Springer eBooks. 1 indexed citations

16.

Horton, C. W., et al.. (1997). A new field programmable system-on-a-chip for mixed signal integration. 610. 3 indexed citations

17.

Cabestany, Joan, Paolo Ienne, Juan‐Manuel Torres‐Moreno, & Jordi Madrenas. (1996). Is There a future for ANN Hardware. Infoscience (Ecole Polytechnique Fédérale de Lausanne).

18.

Torres‐Moreno, Juan‐Manuel, et al.. (1994). Improving piecewise linear separation incremental algorithms using complexity reduction methods.. The European Symposium on Artificial Neural Networks.

19.

Petkov, Nikolay, P. Kruizinga, Tino Lourens, et al.. (1993). Biologically motivated approach to face recognition. Lecture notes in computer science. 686. 1 indexed citations

20.

Calderer, J., et al.. (1984). Reduction of radiation damage in solar cells. NASA STI/Recon Technical Report N. 85. 31659. 1 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.

Explore authors with similar magnitude of impact