Luis Sigcha

644 total citations
24 papers, 361 citations indexed

About

Luis Sigcha is a scholar working on Biomedical Engineering, Neurology and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Luis Sigcha has authored 24 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 12 papers in Neurology and 6 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Luis Sigcha's work include Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological disorders and treatments (8 papers) and Muscle activation and electromyography studies (7 papers). Luis Sigcha is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological disorders and treatments (8 papers) and Muscle activation and electromyography studies (7 papers). Luis Sigcha collaborates with scholars based in Spain, Portugal and Ireland. Luis Sigcha's co-authors include Guillermo de Arcas, Luigi Borzì, Juan Manuel López, Ignacio Pavón, Nélson Costa, Pedro Arezes, Gabriella Olmo, Susana Costa, Daniel Rodríguez-Martín and Miguel Gago and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Luis Sigcha

18 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Sigcha Spain 9 188 175 89 45 31 24 361
Panagiota Bougia Greece 6 252 1.3× 193 1.1× 94 1.1× 58 1.3× 37 1.2× 6 437
Luigi Borzì Italy 13 245 1.3× 206 1.2× 165 1.9× 105 2.3× 27 0.9× 27 469
Myeounggon Lee South Korea 13 107 0.6× 131 0.7× 176 2.0× 32 0.7× 26 0.8× 40 413
Murtadha D. Hssayeni United States 12 176 0.9× 102 0.6× 83 0.9× 30 0.7× 81 2.6× 26 460
A. M. S. Muniz Brazil 9 64 0.3× 150 0.9× 78 0.9× 57 1.3× 25 0.8× 10 332
Matteo Giuberti Italy 9 111 0.6× 255 1.5× 132 1.5× 27 0.6× 46 1.5× 18 425
Samuel Reinfelder Germany 6 179 1.0× 210 1.2× 230 2.6× 20 0.4× 76 2.5× 7 481
Ahmed Al-Jawad United Kingdom 10 131 0.7× 73 0.4× 86 1.0× 18 0.4× 59 1.9× 18 365
Mariachiara Ricci Italy 11 107 0.6× 111 0.6× 42 0.5× 35 0.8× 9 0.3× 21 314
Mayté Castro Jiménez Switzerland 8 241 1.3× 126 0.7× 103 1.2× 23 0.5× 32 1.0× 14 447

Countries citing papers authored by Luis Sigcha

Since Specialization
Citations

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

Fields of papers citing papers by Luis Sigcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Sigcha

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Sigcha. A scholar is included among the top collaborators of Luis Sigcha 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 Luis Sigcha. Luis Sigcha 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.
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Cardon, Greet, Delfien Van Dyck, Richard Cimler, et al.. (2025). Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection. PLoS ONE. 20(2). e0318772–e0318772. 3 indexed citations
3.
Sigcha, Luis, et al.. (2025). Capturing Mental Workload Through Physiological Sensors in Human–Robot Collaboration: A Systematic Literature Review. Applied Sciences. 15(6). 3317–3317. 6 indexed citations
4.
Sigcha, Luis, Juan Manuel López, C. Asensio, et al.. (2025). Evolution of the Motor Symptoms in Parkinson Disease under Auditory Stimulation. International Journal of Neural Systems. 35(7). 2550030–2550030.
5.
Borzì, Luigi, Florenc Demrozi, Luis Sigcha, et al.. (2025). Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model. Journal of Parkinson s Disease. 15(1). 163–181. 2 indexed citations
6.
Borzì, Luigi, Luis Sigcha, Farshad Firouzi, Gabriella Olmo, & Florenc Demrozi. (2025). Edge-based freezing of gait recognition in Parkinson’s disease. Computers & Electrical Engineering. 127. 110530–110530.
7.
8.
Sigcha, Luis, Luigi Borzì, Gabriella Olmo, et al.. (2024). Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers. Applied Sciences. 14(22). 10189–10189. 4 indexed citations
9.
Sigcha, Luis, Luigi Borzì, Gabriella Olmo, et al.. (2024). Evaluating Mobility in Parkinson’s Disease through Wearable Sensors: A Systematic Review of Digital Biomarkers. Preprints.org.
10.
Sigcha, Luis, Luigi Borzì, & Gabriella Olmo. (2024). Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study. Expert Systems with Applications. 255. 124522–124522. 8 indexed citations
11.
Sigcha, Luis, Luigi Borzì, Nélson Costa, et al.. (2024). Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease. 820–827. 1 indexed citations
12.
Sigcha, Luis, Nélson Costa, Susana Costa, et al.. (2023). Monipar: movement data collection tool to monitor motor symptoms in Parkinson’s disease using smartwatches and smartphones. Frontiers in Neurology. 14. 1326640–1326640. 7 indexed citations
13.
Borzì, Luigi, Luis Sigcha, & Gabriella Olmo. (2023). Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease. Sensors. 23(9). 4426–4426. 12 indexed citations
14.
15.
Borzì, Luigi, Luis Sigcha, Daniel Rodríguez-Martín, & Gabriella Olmo. (2022). Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor. Artificial Intelligence in Medicine. 135. 102459–102459. 39 indexed citations
16.
Sigcha, Luis, Luigi Borzì, Nélson Costa, et al.. (2022). Bradykinesia Detection in Parkinson’s Disease Using Smartwatches’ Inertial Sensors and Deep Learning Methods. Electronics. 11(23). 3879–3879. 13 indexed citations
17.
Sigcha, Luis, Ignacio Pavón, Nélson Costa, et al.. (2021). Automatic Resting Tremor Assessment in Parkinson’s Disease Using Smartwatches and Multitask Convolutional Neural Networks. Sensors. 21(1). 291–291. 57 indexed citations
18.
Sigcha, Luis, Nélson Costa, Ignacio Pavón, et al.. (2020). Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors. Sensors. 20(7). 1895–1895. 80 indexed citations
19.
Sigcha, Luis. (2017). Soluciones basadas en tecnología wearable para la valoración de vibraciones en el puesto de trabajo que afectan al sistema mano brazo.. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 1 indexed citations
20.
Pavón, Ignacio, Luis Sigcha, Juan Manuel López, & G. de. (2017). Wearable technology usefulness for occupational risk prevention:Smartwatches for hand-arm vibration exposure assessment. 44. 65–70. 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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