Vânia Guimar�ães

450 total citations
26 papers, 308 citations indexed

About

Vânia Guimar�ães is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vânia Guimar�ães has authored 26 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physical Therapy, Sports Therapy and Rehabilitation, 9 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vânia Guimar�ães's work include Balance, Gait, and Falls Prevention (15 papers), Gait Recognition and Analysis (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Vânia Guimar�ães is often cited by papers focused on Balance, Gait, and Falls Prevention (15 papers), Gait Recognition and Analysis (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Vânia Guimar�ães collaborates with scholars based in Portugal, Switzerland and Sweden. Vânia Guimar�ães's co-authors include Inês Sousa, Eling D. de Bruin, Miguel Velhote Correia, Manuela Adcock, Andreas R. Luft, Alexandra Schättin, Jennifer C. Post, Kai Lutz, Chantale Dumoulin and Nathalie Swinnen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Vânia Guimar�ães

25 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vânia Guimar�ães Portugal 11 81 79 65 57 52 26 308
Paula Costa Castro Brazil 10 101 1.2× 22 0.3× 52 0.8× 85 1.5× 79 1.5× 28 430
Hirotaka Nakashima Japan 11 25 0.3× 32 0.4× 61 0.9× 55 1.0× 108 2.1× 39 484
Y. Higashi Japan 11 122 1.5× 43 0.5× 90 1.4× 127 2.2× 124 2.4× 39 585
Antti Särelä Australia 11 39 0.5× 41 0.5× 30 0.5× 122 2.1× 147 2.8× 19 532
Mike van Diest Netherlands 6 175 2.2× 130 1.6× 113 1.7× 41 0.7× 79 1.5× 8 384
Jaebum Son South Korea 13 85 1.0× 118 1.5× 65 1.0× 30 0.5× 67 1.3× 27 416
Simon Brière Canada 11 48 0.6× 39 0.5× 22 0.3× 40 0.7× 42 0.8× 22 310
Mehmet Gövercin Germany 12 103 1.3× 44 0.6× 67 1.0× 109 1.9× 61 1.2× 24 331
Inês Sousa Portugal 15 128 1.6× 61 0.8× 52 0.8× 196 3.4× 206 4.0× 51 574
Narayan Schütz Switzerland 12 30 0.4× 37 0.5× 49 0.8× 61 1.1× 55 1.1× 30 304

Countries citing papers authored by Vânia Guimar�ães

Since Specialization
Citations

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

Fields of papers citing papers by Vânia Guimar�ães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vânia Guimar�ães. 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 Vânia Guimar�ães. The network helps show where Vânia Guimar�ães may publish in the future.

Co-authorship network of co-authors of Vânia Guimar�ães

This figure shows the co-authorship network connecting the top 25 collaborators of Vânia Guimar�ães. A scholar is included among the top collaborators of Vânia Guimar�ães 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 Vânia Guimar�ães. Vânia Guimar�ães 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.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2025). Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning. BMC Medical Informatics and Decision Making. 25(1). 157–157.
2.
Guimar�ães, Vânia, et al.. (2024). One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks. Computer Methods and Programs in Biomedicine. 259. 108508–108508. 1 indexed citations
3.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2023). Detection of Foot Motions for Interaction With Exergames Using Shoe-Mounted Inertial Sensors. IEEE Transactions on Human-Machine Systems. 53(5). 895–904. 1 indexed citations
4.
Swinnen, Nathalie, Eling D. de Bruin, Vânia Guimar�ães, et al.. (2023). The feasibility of a stepping exergame prototype for older adults with major neurocognitive disorder residing in a long-term care facility: a mixed methods pilot study. Disability and Rehabilitation. 46(5). 896–910. 8 indexed citations
5.
Guimar�ães, Vânia, Inês Sousa, Eling D. de Bruin, J Lopez Pais, & Miguel Velhote Correia. (2023). Minding your steps: a cross-sectional pilot study using foot-worn inertial sensors and dual-task gait analysis to assess the cognitive status of older adults with mobility limitations. BMC Geriatrics. 23(1). 329–329. 5 indexed citations
6.
Guimar�ães, Vânia, Eling D. de Bruin, Jeroen de Jong, et al.. (2023). AN EXERGAME COMBINING STRENGTH, BALANCE AND COGNITIVE TRAINING WITH PELVIC FLOOR MUSCLE EXERCISES TO TREAT OLDER WOMEN WITH URGENCY URINARY INCONTINENCE: A PRE-POST PILOT STUDY. SHILAP Revista de lepidopterología. 7. 100945–100945. 1 indexed citations
7.
Guimar�ães, Vânia, Inês Sousa, Eling D. de Bruin, J Lopez Pais, & Miguel Velhote Correia. (2023). Using shoe-mounted inertial sensors and stepping exergames to assess the motor-cognitive status of older adults: A correlational study. Digital Health. 9. 589810713–589810713. 1 indexed citations
8.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2021). Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors. Sensors. 21(11). 3940–3940. 11 indexed citations
9.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2021). A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors. Sensors. 21(22). 7517–7517. 20 indexed citations
10.
Adcock, Manuela, et al.. (2021). Usability Study of a Multicomponent Exergame Training for Older Adults with Mobility Limitations. International Journal of Environmental Research and Public Health. 18(24). 13422–13422. 15 indexed citations
11.
Swinnen, Nathalie, Eling D. de Bruin, Chantale Dumoulin, et al.. (2021). The VITAAL Stepping Exergame Prototype for Older Adults With Major Neurocognitive Disorder: A Usability Study. Frontiers in Aging Neuroscience. 13. 701319–701319. 12 indexed citations
12.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2021). Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 4 indexed citations
13.
Adcock, Manuela, Jennifer C. Post, Kai Lutz, et al.. (2020). Effects of an In-home Multicomponent Exergame Training on Physical Functions, Cognition, and Brain Volume of Older Adults: A Randomized Controlled Trial. Frontiers in Medicine. 6. 321–321. 89 indexed citations
14.
Guimar�ães, Vânia, Inês Sousa, & Miguel Velhote Correia. (2019). Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors. PubMed. 17. 6926–6929. 3 indexed citations
15.
Guimar�ães, Vânia, et al.. (2018). Design and evaluation of an exergame for motor-cognitive training and fall prevention in older adults. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 202–207. 19 indexed citations
16.
Guimar�ães, Vânia, et al.. (2017). Joint angles tracking for rehabilitation at home using inertial sensors. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 146–154. 10 indexed citations
17.
Silva, Joana, et al.. (2016). Inertial sensors for assessment of joint angles. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 9–12. 2 indexed citations
18.
Guimar�ães, Vânia, et al.. (2014). A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 80. 1–6. 4 indexed citations
19.
Guimar�ães, Vânia, et al.. (2013). Smartphone based fall prevention exercises. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 643–647. 11 indexed citations
20.
Camacho, Rui, Natacha Rosa, Vânia Guimar�ães, et al.. (2012). Predicting the secondary structure of proteins using machine learning algorithms. International Journal of Data Mining and Bioinformatics. 6(6). 571–571. 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.

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