José Zariffa

2.4k total citations
114 papers, 1.4k citations indexed

About

José Zariffa is a scholar working on Rehabilitation, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, José Zariffa has authored 114 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Rehabilitation, 40 papers in Cognitive Neuroscience and 40 papers in Biomedical Engineering. Recurrent topics in José Zariffa's work include Stroke Rehabilitation and Recovery (44 papers), Spinal Cord Injury Research (35 papers) and Muscle activation and electromyography studies (35 papers). José Zariffa is often cited by papers focused on Stroke Rehabilitation and Recovery (44 papers), Spinal Cord Injury Research (35 papers) and Muscle activation and electromyography studies (35 papers). José Zariffa collaborates with scholars based in Canada, United States and Switzerland. José Zariffa's co-authors include Miloš R. Popović, John D. Steeves, Andrea Bandini, Armin Curt, John L. K. Kramer, Jirapat Likitlersuang, Sukhvinder Kalsi‐Ryan, Adrian Nachman, Mary K. Nagai and Jonathan Downar and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

José Zariffa

105 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Zariffa Canada 22 483 439 427 419 380 114 1.4k
Ángel Gil-Agudo Spain 25 724 1.5× 693 1.6× 529 1.2× 483 1.2× 237 0.6× 91 1.7k
Eloy Opisso Spain 22 330 0.7× 430 1.0× 202 0.5× 570 1.4× 262 0.7× 97 1.5k
Albert H. Vette Canada 25 829 1.7× 399 0.9× 440 1.0× 468 1.1× 184 0.5× 92 1.9k
B.J. Andrews United Kingdom 23 1.2k 2.4× 326 0.7× 315 0.7× 396 0.9× 375 1.0× 70 1.7k
Antonio J. del‐Ama Spain 22 808 1.7× 533 1.2× 388 0.9× 259 0.6× 153 0.4× 74 1.4k
Isabel María Alguacil Diego Spain 24 416 0.9× 569 1.3× 179 0.4× 368 0.9× 136 0.4× 76 1.8k
Emilia Biffi Italy 20 343 0.7× 232 0.5× 138 0.3× 237 0.6× 231 0.6× 89 1.2k
Emilia Ambrosini Italy 26 711 1.5× 544 1.2× 248 0.6× 389 0.9× 109 0.3× 85 1.8k
Roman Gonzenbach Switzerland 19 224 0.5× 342 0.8× 411 1.0× 94 0.2× 244 0.6× 64 1.3k
Tadej Bajd Slovenia 27 1.7k 3.5× 714 1.6× 394 0.9× 534 1.3× 420 1.1× 145 2.6k

Countries citing papers authored by José Zariffa

Since Specialization
Citations

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

Fields of papers citing papers by José Zariffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Zariffa

This figure shows the co-authorship network connecting the top 25 collaborators of José Zariffa. A scholar is included among the top collaborators of José Zariffa 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 José Zariffa. José Zariffa 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.
Márquez-Chin, César, et al.. (2025). The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models. BioMedical Engineering OnLine. 24(1). 12–12. 1 indexed citations
2.
Zariffa, José, et al.. (2025). Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3303–3313.
3.
Zariffa, José, et al.. (2025). Maximizing the Information Transfer Rate of a Myoelectric Classification System for Individuals With Spinal Cord Injury. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3085–3095. 1 indexed citations
4.
Nag, Sudip, et al.. (2025). Energy-Efficient Adaptive Neural Stimulator With Waveform Prediction by Sub-Threshold Interrogation of the Electrode-Tissue Interface. IEEE Transactions on Biomedical Circuits and Systems. 19(6). 1142–1159.
5.
Zariffa, José, et al.. (2024). Automated Hand Prehension Assessment From Egocentric Video After Spinal Cord Injury. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2864–2872. 3 indexed citations
6.
Fleet, David J., et al.. (2024). Personalized Video-Based Hand Taxonomy Using Egocentric Video in the Wild. IEEE Journal of Biomedical and Health Informatics. 29(9). 6214–6225.
7.
Chan, Katherine, et al.. (2023). Providing Insights into the Challenges of Implementing Activity-Based Therapy in Canada: A Comparative Analysis Using Focus Group Interviews with Key Interest Groups. Topics in Spinal Cord Injury Rehabilitation. 29(Supplement). 53–74. 2 indexed citations
8.
Li, Guijin, Gustavo Balbinot, Julio C. Furlan, Sukhvinder Kalsi‐Ryan, & José Zariffa. (2023). A computational model of surface electromyography signal alterations after spinal cord injury. Journal of Neural Engineering. 20(6). 66020–66020. 3 indexed citations
9.
Balbinot, Gustavo, Guijin Li, Cindy Gauthier, et al.. (2023). Functional electrical stimulation therapy for upper extremity rehabilitation following spinal cord injury: a pilot study. Spinal Cord Series and Cases. 9(1). 11–11. 9 indexed citations
10.
Xu, Jianxiong, Sudip Nag, Gerard O’Leary, et al.. (2023). Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1237–1256. 11 indexed citations
11.
Genov, Roman, et al.. (2023). Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices. IEEE Transactions on Biomedical Engineering. 71(2). 631–639. 4 indexed citations
12.
Balbinot, Gustavo, Guijin Li, Sukhvinder Kalsi‐Ryan, et al.. (2023). Segmental motor recovery after cervical spinal cord injury relates to density and integrity of corticospinal tract projections. Nature Communications. 14(1). 723–723. 25 indexed citations
13.
Zariffa, José, et al.. (2022). Perspectives and expectations of stroke survivors using egocentric cameras for monitoring hand function at home: a mixed methods study. Disability and Rehabilitation Assistive Technology. 19(3). 878–888. 3 indexed citations
14.
Xu, Jianxiong, et al.. (2021). Bidirectional Peripheral Nerve Interface With 64 Second-Order Opamp-Less ΔΣ ADCs and Fully Integrated Wireless Power/Data Transmission. IEEE Journal of Solid-State Circuits. 56(11). 3247–3262. 35 indexed citations
15.
Balas, Michael, et al.. (2019). Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks. Journal of Neural Engineering. 17(1). 16042–16042. 34 indexed citations
16.
Likitlersuang, Jirapat, et al.. (2019). Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home. Journal of NeuroEngineering and Rehabilitation. 16(1). 83–83. 36 indexed citations
17.
Likitlersuang, Jirapat, et al.. (2018). Influence of upper limb movement patterns on accelerometer measurements: a pediatric case series. Physiological Measurement. 39(4). 04NT02–04NT02. 3 indexed citations
18.
Mansouri, Farrokh, et al.. (2018). Development and validation of a 3D-printed neuronavigation headset for therapeutic brain stimulation. Journal of Neural Engineering. 15(4). 46034–46034. 7 indexed citations
19.
Likitlersuang, Jirapat, et al.. (2017). Views of individuals with spinal cord injury on the use of wearable cameras to monitor upper limb function in the home and community. Journal of Spinal Cord Medicine. 40(6). 706–714. 14 indexed citations
20.
Bergquist, Austin J., Héctor Vargas-Pérez, Mary K. Nagai, et al.. (2017). Neuron-Type-Specific Utility in a Brain-Machine Interface: a Pilot Study. Journal of Spinal Cord Medicine. 40(6). 715–722. 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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