Babak Taati

3.3k total citations
101 papers, 2.0k citations indexed

About

Babak Taati is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation and Physiology. According to data from OpenAlex, Babak Taati has authored 101 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Physical Therapy, Sports Therapy and Rehabilitation and 21 papers in Physiology. Recurrent topics in Babak Taati's work include Balance, Gait, and Falls Prevention (23 papers), Obstructive Sleep Apnea Research (16 papers) and Cerebral Palsy and Movement Disorders (15 papers). Babak Taati is often cited by papers focused on Balance, Gait, and Falls Prevention (23 papers), Obstructive Sleep Apnea Research (16 papers) and Cerebral Palsy and Movement Disorders (15 papers). Babak Taati collaborates with scholars based in Canada, United States and Iran. Babak Taati's co-authors include Alex Mihailidis, Elham Dolatabadi, Michael H. Li, Azadeh Yadollahi, Andrea Iaboni, Michael Greenspan, Shehroz S. Khan, Avril Mansfield, Sina Mehdizadeh and Ahmad Akl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Babak Taati

99 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Babak Taati Canada 27 598 537 341 328 295 101 2.0k
Andrea Mannini Italy 25 1.2k 2.0× 845 1.6× 445 1.3× 124 0.4× 198 0.7× 108 2.5k
Patrick Boissy Canada 32 529 0.9× 318 0.6× 504 1.5× 375 1.1× 725 2.5× 110 3.0k
Anisoara Paraschiv-Ionescu Switzerland 21 696 1.2× 501 0.9× 553 1.6× 239 0.7× 153 0.5× 53 1.7k
Gearóid ÓLaighin Ireland 33 1.3k 2.2× 1.0k 1.9× 677 2.0× 197 0.6× 172 0.6× 107 4.1k
Rob C. van Lummel Netherlands 23 663 1.1× 399 0.7× 888 2.6× 395 1.2× 172 0.6× 50 2.3k
Laurence Kenney United Kingdom 26 1.8k 3.0× 641 1.2× 473 1.4× 237 0.7× 399 1.4× 111 2.8k
Matthew A. Brodie Australia 28 538 0.9× 324 0.6× 1.1k 3.3× 585 1.8× 260 0.9× 91 2.3k
Sabato Mellone Italy 23 461 0.8× 398 0.7× 859 2.5× 431 1.3× 133 0.5× 71 1.8k
Stephen Preece United Kingdom 21 1.0k 1.7× 632 1.2× 290 0.9× 118 0.4× 158 0.5× 64 2.6k
Belinda Lange United States 28 320 0.5× 428 0.8× 391 1.1× 580 1.8× 1.5k 5.1× 92 3.3k

Countries citing papers authored by Babak Taati

Since Specialization
Citations

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

Fields of papers citing papers by Babak Taati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Babak Taati

This figure shows the co-authorship network connecting the top 25 collaborators of Babak Taati. A scholar is included among the top collaborators of Babak Taati 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 Babak Taati. Babak Taati 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.
Finelli, Antonio, et al.. (2025). Using AI to triage patients without clinically significant prostate cancer using biparametric MRI and PSA. Abdominal Radiology. 50(12). 5924–5933.
2.
Taati, Babak, et al.. (2024). Evaluating Recent 2D Human Pose Estimators for 2D-3D Pose Lifting. 1–5. 2 indexed citations
3.
Yunusova, Yana, et al.. (2024). Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation. IEEE Journal of Translational Engineering in Health and Medicine. 12. 382–389. 4 indexed citations
4.
Taati, Babak, et al.. (2024). MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network. 6905–6915. 42 indexed citations
5.
Conway, Aaron, et al.. (2024). Automating sedation state assessments using natural language processing. Journal of Nursing Scholarship. 57(1). 17–27. 1 indexed citations
6.
7.
Guarín, Diego L., et al.. (2023). 3D Video Tracking Technology in the Assessment of Orofacial Impairments in Neurological Disease: Clinical Validation. Journal of Speech Language and Hearing Research. 66(8S). 3151–3165. 1 indexed citations
8.
Truong, Justin, et al.. (2023). Analytical Validation of a Webcam-Based Assessment of Speech Kinematics: Digital Biomarker Evaluation following the V3 Framework. SHILAP Revista de lepidopterología. 7(1). 7–17. 2 indexed citations
9.
10.
Keshavarz, Behrang, et al.. (2022). Detecting and predicting visually induced motion sickness with physiological measures in combination with machine learning techniques. International Journal of Psychophysiology. 176. 14–26. 47 indexed citations
11.
Mehdizadeh, Sina, et al.. (2021). Concurrent validity of human pose tracking in video for measuring gait parameters in older adults: a preliminary analysis with multiple trackers, viewing angles, and walking directions. Journal of NeuroEngineering and Rehabilitation. 18(1). 139–139. 28 indexed citations
12.
13.
Mehdizadeh, Sina, et al.. (2020). Assessment of Parkinsonian gait in older adults with dementia via human pose tracking in video data. Journal of NeuroEngineering and Rehabilitation. 17(1). 97–97. 45 indexed citations
14.
Mashouri, Pouria, et al.. (2019). Quality Indicators as Predictors of Future Inspection Performance in Ontario Nursing Homes. Journal of the American Medical Directors Association. 21(6). 793–798.e1. 7 indexed citations
15.
Ashraf, Ahmed, Matthew Browne, Kenneth M. Prkachin, et al.. (2019). Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia. Computer Vision and Pattern Recognition. 28–36. 6 indexed citations
16.
Yadollahi, Azadeh, et al.. (2019). Non-contact Apnea-Hypopnea Index Estimation using Near Infrared Video. PubMed. 2019. 792–795. 5 indexed citations
17.
Dolatabadi, Elham, et al.. (2019). The feasibility of a vision-based sensor for longitudinal monitoring of mobility in older adults with dementia. Archives of Gerontology and Geriatrics. 82. 200–206. 18 indexed citations
18.
Moayedi, Yasbanoo, et al.. (2019). Use of Free-Living Step Count Monitoring for Heart Failure Functional Classification: Validation Study. JMIR Cardio. 3(1). e12122–e12122. 25 indexed citations
19.
Li, Michael H., Tiago Mestre, Susan H. Fox, & Babak Taati. (2018). Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation. Journal of NeuroEngineering and Rehabilitation. 15(1). 97–97. 86 indexed citations
20.
Li, Michael H., et al.. (2017). Automatic Detection of Compensation During Robotic Stroke Rehabilitation Therapy. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–7. 51 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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