Rakié Cham

3.1k total citations
63 papers, 2.4k citations indexed

About

Rakié Cham is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Psychiatry and Mental health. According to data from OpenAlex, Rakié Cham has authored 63 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Physical Therapy, Sports Therapy and Rehabilitation, 25 papers in Biomedical Engineering and 15 papers in Psychiatry and Mental health. Recurrent topics in Rakié Cham's work include Balance, Gait, and Falls Prevention (38 papers), Lower Extremity Biomechanics and Pathologies (17 papers) and Cerebral Palsy and Movement Disorders (14 papers). Rakié Cham is often cited by papers focused on Balance, Gait, and Falls Prevention (38 papers), Lower Extremity Biomechanics and Pathologies (17 papers) and Cerebral Palsy and Movement Disorders (14 papers). Rakié Cham collaborates with scholars based in United States, Hong Kong and Russia. Rakié Cham's co-authors include Mark S. Redfern, April J. Chambers, Subashan Perera, Nicolaas I. Bohnen, Stephanie A. Studenski, Kurt E. Beschorner, Brian Moyer, Håkan Lanshammar, Raoul Grönqvist and Christopher M. Powers and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and Experimental Brain Research.

In The Last Decade

Rakié Cham

60 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakié Cham United States 26 1.4k 985 623 422 382 63 2.4k
Elizabeth T. Hsiao‐Wecksler United States 30 959 0.7× 1.1k 1.2× 655 1.1× 446 1.1× 412 1.1× 122 2.7k
Shirley Rietdyk United States 28 1.6k 1.2× 747 0.8× 761 1.2× 434 1.0× 307 0.8× 66 2.3k
John G. Buckley United Kingdom 35 1000 0.7× 1.3k 1.3× 351 0.6× 592 1.4× 270 0.7× 119 3.1k
Massimiliano Pau Italy 30 608 0.4× 595 0.6× 635 1.0× 479 1.1× 336 0.9× 210 3.0k
Krystyna Gielo‐Perczak United States 9 1.2k 0.9× 623 0.6× 412 0.7× 468 1.1× 219 0.6× 29 1.6k
W. A. Sparrow Australia 30 1.3k 1.0× 974 1.0× 912 1.5× 586 1.4× 205 0.5× 86 2.8k
Stephen D. Perry Canada 22 1.2k 0.9× 827 0.8× 612 1.0× 627 1.5× 190 0.5× 59 2.1k
Michael L. Madigan United States 30 1.5k 1.1× 1.1k 1.1× 629 1.0× 1.1k 2.6× 279 0.7× 118 3.0k
Daina L. Sturnieks Australia 34 2.0k 1.4× 799 0.8× 1.3k 2.0× 668 1.6× 304 0.8× 109 3.6k
Sandra Maria Sbeghen Ferreira de Freitas Brazil 18 988 0.7× 519 0.5× 488 0.8× 369 0.9× 163 0.4× 66 1.8k

Countries citing papers authored by Rakié Cham

Since Specialization
Citations

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

Fields of papers citing papers by Rakié Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakié Cham

This figure shows the co-authorship network connecting the top 25 collaborators of Rakié Cham. A scholar is included among the top collaborators of Rakié Cham 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 Rakié Cham. Rakié Cham 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
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Redfern, Mark S., et al.. (2024). Attention and sensory integration for gait in young adults with autism spectrum disorder. Gait & Posture. 112. 74–80. 1 indexed citations
4.
Beschorner, Kurt E., Arian Iraqi, Mark S. Redfern, Rakié Cham, & Yue Li. (2019). Predicting slips based on the STM 603 whole-footwear tribometer under different coefficient of friction testing conditions. Ergonomics. 62(5). 668–681. 28 indexed citations
5.
Trivedi, Vivek, Ji Won Bang, Carlos Parra, et al.. (2019). Widespread brain reorganization perturbs visuomotor coordination in early glaucoma. Scientific Reports. 9(1). 14168–14168. 26 indexed citations
6.
Iraqi, Arian, Rakié Cham, Mark S. Redfern, Natasa Vidic, & Kurt E. Beschorner. (2018). Kinematics and kinetics of the shoe during human slips. Journal of Biomechanics. 74. 57–63. 27 indexed citations
7.
Mahboobin, Arash, et al.. (2017). Effects of acute peripheral/central visual field loss on standing balance. Experimental Brain Research. 235(11). 3261–3270. 23 indexed citations
8.
Chambers, April J., et al.. (2017). Arm reactions in response to an unexpected slip—Impact of aging. Journal of Biomechanics. 58. 21–26. 23 indexed citations
9.
Chambers, April J., et al.. (2014). A comparison of prediction equations for the estimation of body fat percentage in non-obese and obese older Caucasian adults in the United States. The journal of nutrition health & aging. 18(6). 586–590. 22 indexed citations
10.
Nebes, Robert D., et al.. (2013). Intra-individual variability in gait and in cognitive performance are not related in the elderly. Aging Neuropsychology and Cognition. 21(3). 283–295. 4 indexed citations
11.
Chambers, April J., et al.. (2011). Differences in Geriatric Anthropometric Data Between DXA-Based Subject-Specific Estimates and Non-Age-Specific Traditional Regression Models. Journal of Applied Biomechanics. 27(3). 197–206. 8 indexed citations
12.
Brach, Jennifer S., David Wert, Jessie M. VanSwearingen, et al.. (2010). Validation of a Measure of Smoothness of Walking. The Journals of Gerontology Series A. 66A(1). 136–141. 111 indexed citations
13.
VanSwearingen, Jessie M., Subashan Perera, Jennifer S. Brach, et al.. (2009). A Randomized Trial of Two Forms of Therapeutic Activity to Improve Walking: Effect on the Energy Cost of Walking. The Journals of Gerontology Series A. 64A(11). 1190–1198. 63 indexed citations
14.
Bohnen, Nicolaas I., Martijn L.T.M. Müller, Hiroto Kuwabara, et al.. (2009). Age-associated striatal dopaminergic denervation and falls in community-dwelling subjects. The Journal of Rehabilitation Research and Development. 46(8). 1045–1045. 20 indexed citations
15.
Chambers, April J., et al.. (2009). The effect of obesity and gender on body segment parameters in older adults. Clinical Biomechanics. 25(2). 131–136. 48 indexed citations
16.
Moyer, Brian, Mark S. Redfern, & Rakié Cham. (2009). Biomechanics of trailing leg response to slipping - Evidence of interlimb and intralimb coordination. Gait & Posture. 29(4). 565–570. 39 indexed citations
17.
Cham, Rakié, Stephanie A. Studenski, Subashan Perera, & Nicolaas I. Bohnen. (2007). Striatal dopaminergic denervation and gait in healthy adults. Experimental Brain Research. 185(3). 391–398. 55 indexed citations
18.
Moyer, Brian, April J. Chambers, Mark S. Redfern, & Rakié Cham. (2006). Gait parameters as predictors of slip severity in younger and older adults. Ergonomics. 49(4). 329–343. 121 indexed citations
19.
Bohnen, Nicolaas I. & Rakié Cham. (2006). Postural Control, Gait, and Dopamine Functions in Parkinsonian Movement Disorders. Clinics in Geriatric Medicine. 22(4). 797–812. 58 indexed citations
20.
Cham, Rakié & Mark S. Redfern. (2002). Changes in gait when anticipating slippery floors. Gait & Posture. 15(2). 159–171. 310 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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