Claudia Ferraris

795 total citations
37 papers, 441 citations indexed

About

Claudia Ferraris is a scholar working on Rehabilitation, Neurology and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Claudia Ferraris has authored 37 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rehabilitation, 10 papers in Neurology and 10 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Claudia Ferraris's work include Stroke Rehabilitation and Recovery (11 papers), Balance, Gait, and Falls Prevention (10 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). Claudia Ferraris is often cited by papers focused on Stroke Rehabilitation and Recovery (11 papers), Balance, Gait, and Falls Prevention (10 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). Claudia Ferraris collaborates with scholars based in Italy, France and United States. Claudia Ferraris's co-authors include Lorenzo Priano, Gianluca Amprimo, Giuseppe Pettiti, Alessandro Mauro, Antonio Chimienti, Verônica Cimolin, Corrado Azzaro, Danilo Pau, Luca Vismara and Nicola Cau and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Claudia Ferraris

33 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Ferraris Italy 13 107 103 102 87 67 37 441
Eric Wade United States 15 209 2.0× 193 1.9× 79 0.8× 110 1.3× 72 1.1× 47 564
Dimitrios Gatsios Greece 13 42 0.4× 89 0.9× 180 1.8× 52 0.6× 56 0.8× 37 489
D.M. Sherrill United States 10 89 0.8× 377 3.7× 85 0.8× 85 1.0× 86 1.3× 15 585
Fabien Massé Switzerland 11 66 0.6× 197 1.9× 20 0.2× 92 1.1× 75 1.1× 21 423
Murtadha D. Hssayeni United States 12 29 0.3× 102 1.0× 176 1.7× 83 1.0× 81 1.2× 26 460
Nirvana Popescu Romania 12 51 0.5× 225 2.2× 106 1.0× 27 0.3× 65 1.0× 73 644
Heribert Baldus Germany 16 48 0.4× 318 3.1× 158 1.5× 268 3.1× 104 1.6× 28 868
Filippo Casamassima Italy 7 31 0.3× 308 3.0× 46 0.5× 97 1.1× 63 0.9× 15 459
Chen‐Wen Yen Taiwan 12 37 0.3× 81 0.8× 21 0.2× 76 0.9× 45 0.7× 40 419
Gianluca Amprimo Italy 10 73 0.7× 68 0.7× 47 0.5× 55 0.6× 18 0.3× 25 252

Countries citing papers authored by Claudia Ferraris

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Ferraris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Ferraris

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Ferraris. A scholar is included among the top collaborators of Claudia Ferraris 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 Claudia Ferraris. Claudia Ferraris 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.
Amprimo, Gianluca, et al.. (2024). Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. Biomedical Signal Processing and Control. 96. 106508–106508. 19 indexed citations
2.
Amprimo, Gianluca, et al.. (2024). A Data-Driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease. IEEE Journal of Biomedical and Health Informatics. 29(7). 4647–4658.
3.
Ferraris, Claudia, Luca Vismara, Gianluca Amprimo, et al.. (2024). Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system. Frontiers in Bioengineering and Biotechnology. 12. 1449680–1449680. 4 indexed citations
4.
Ferraris, Claudia, et al.. (2024). Machine-Learning-Based Validation of Microsoft Azure Kinect in Measuring Gait Profiles. Electronics. 13(23). 4739–4739.
6.
Vismara, Luca, Claudia Ferraris, Gianluca Amprimo, et al.. (2024). Exergames as a rehabilitation tool to enhance the upper limbs functionality and performance in chronic stroke survivors: a preliminary study. Frontiers in Neurology. 15. 1347755–1347755. 2 indexed citations
7.
Amprimo, Gianluca, et al.. (2023). Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications. 4. 130–135. 1 indexed citations
8.
Ferraris, Claudia, et al.. (2023). At-home assessment of postural stability in parkinson’s disease: a vision-based approach. Journal of Ambient Intelligence and Humanized Computing. 15(5). 2765–2778. 3 indexed citations
9.
Amprimo, Gianluca, et al.. (2023). New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review. Electronics. 12(5). 1098–1098. 5 indexed citations
10.
Ferraris, Claudia, Gianluca Amprimo, & Giuseppe Pettiti. (2023). Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications. SHILAP Revista de lepidopterología. 4(3). 539–574. 11 indexed citations
11.
Amprimo, Gianluca, et al.. (2023). Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study. Electronics. 12(3). 623–623. 9 indexed citations
12.
Amprimo, Gianluca, et al.. (2023). Stress and Workload Assessment in Aviation—A Narrative Review. Sensors. 23(7). 3556–3556. 43 indexed citations
13.
Ferraris, Claudia, Gianluca Amprimo, Luca Vismara, et al.. (2022). Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor. Sensors. 22(16). 6282–6282. 21 indexed citations
14.
Cimolin, Verônica, Luca Vismara, Claudia Ferraris, et al.. (2022). Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems. Sensors. 22(3). 824–824. 33 indexed citations
16.
Ferraris, Claudia, Verônica Cimolin, Luca Vismara, et al.. (2021). Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors. Sensors. 21(17). 5945–5945. 27 indexed citations
17.
Ferraris, Claudia, et al.. (2015). A novel approach to train random forests on GPU for computer vision applications using local features. The International Journal of High Performance Computing Applications. 30(3). 290–304. 2 indexed citations
19.
Chimienti, Antonio, Claudia Ferraris, & Danilo Pau. (2002). A complexity-bounded motion estimation algorithm. IEEE Transactions on Image Processing. 11(4). 387–392. 33 indexed citations
20.
Ferraris, Claudia, et al.. (2002). Regulation in groupware: the example of a collaborative drawing tool for young children. 119–127. 15 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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