Omar Aziz

790 total citations
27 papers, 543 citations indexed

About

Omar Aziz is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Omar Aziz has authored 27 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Omar Aziz's work include Context-Aware Activity Recognition Systems (14 papers), Balance, Gait, and Falls Prevention (11 papers) and Gait Recognition and Analysis (8 papers). Omar Aziz is often cited by papers focused on Context-Aware Activity Recognition Systems (14 papers), Balance, Gait, and Falls Prevention (11 papers) and Gait Recognition and Analysis (8 papers). Omar Aziz collaborates with scholars based in Canada, New Zealand and United States. Omar Aziz's co-authors include Stephen N. Robinovitch, Edward J. Park, Greg Mori, Lorenzo Chiari, Clemens Becker, Jochen Klenk, Andreas Ejupi, Lars Schwickert, Maureen C. Ashe and Dawn C. Mackey and has published in prestigious journals such as PLoS ONE, Psychological Medicine and BioMed Research International.

In The Last Decade

Omar Aziz

24 papers receiving 518 citations

Peers

Omar Aziz

CVPR

PTSTR

CNC

PHYSI

C. Becker Germany

Inês Sousa Portugal

Fabio Bagalà Italy

Lars Schwickert Germany

Cliodhna Ní Scanaill Ireland

Carlo Tacconi Italy

Carmen Abbott United States

Tal Shany Australia

Joana Silva Portugal

Amaya Arcelus Canada

C. Becker Germany

Omar Aziz

361 ×1.2

CVPR

317 ×1.1

270 ×1.4

PTSTR

61 ×1.1

CNC

55 ×1.1

PHYSI

Citations per year, relative to Omar Aziz Omar Aziz (= 1×) peers C. Becker

Countries citing papers authored by Omar Aziz

Since Specialization

Citations

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

Fields of papers citing papers by Omar Aziz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Aziz

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Aziz. A scholar is included among the top collaborators of Omar Aziz 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 Omar Aziz. Omar Aziz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mann, Erin, et al.. (2024). The Community Health Response Team: a culturally and linguistically tailored community response to COVID-19 addressing barriers to testing and vaccinations for refugee, immigrant and migrant communities in Atlanta, Georgia. Frontiers in Public Health. 12. 1362705–1362705. 2 indexed citations

Javaid, Syed Fahad, et al.. (2023). Electroconvulsive Therapy: Evaluating the Current Practice in Al Ain Hospital, the United Arab Emirates. BJPsych Open. 9(S1). S135–S136.

Fazel, Seena, Mark Toynbee, Maria Vazquez-Montes, et al.. (2021). Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model. Psychological Medicine. 53(2). 1–7. 8 indexed citations

MacPherson, Megan, et al.. (2021). Classifying sitting, standing, and walking using plantar force data. Medical & Biological Engineering & Computing. 59(1). 257–270. 19 indexed citations

Aziz, Omar, et al.. (2021). Smart Watch Detection of Supraventricular Tachycardia (SVT): First Case from Tanzania. International Medical Case Reports Journal. Volume 14. 563–566. 5 indexed citations

Aziz, Omar, et al.. (2020). Improving Energy Expenditure Estimation through Activity Classification and Walking Speed Estimation Using a Smartwatch. PubMed. 2020. 3940–3944. 6 indexed citations

Zihajehzadeh, Shaghayegh, et al.. (2018). Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU. PubMed. 2018. 3272–3275. 4 indexed citations

Aziz, Omar, Jochen Klenk, Lars Schwickert, et al.. (2017). Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets. PLoS ONE. 12(7). e0180318–e0180318. 65 indexed citations

Ejupi, Andreas, Kimberley S. van Schooten, Omar Aziz, et al.. (2017). Association between Sedentary Behaviour and Physical, Cognitive, and Psychosocial Status among Older Adults in Assisted Living. BioMed Research International. 2017. 1–7. 42 indexed citations

10.

Robinovitch, Stephen N. & Omar Aziz. (2017). Inertial Measurement Unit Fall Detection Dataset. 1 indexed citations

11.

Ejupi, Andreas, et al.. (2017). Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor. PubMed. 2017. 2150–2153. 14 indexed citations

12.

Aziz, Omar, et al.. (2016). A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials. Medical & Biological Engineering & Computing. 55(1). 45–55. 151 indexed citations

13.

Aziz, Omar, Stephen N. Robinovitch, & Edward J. Park. (2016). Identifying the number and location of body worn sensors to accurately classify walking, transferring and sedentary activities. PubMed. 2016. 5003–5006. 11 indexed citations

14.

Aziz, Omar, et al.. (2014). The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data. PubMed. 2014. 30–33. 34 indexed citations

15.

Klenk, Jochen, Lorenzo Chiari, Jorunn L. Helbostad, et al.. (2013). Development of a standard fall data format for signals from body-worn sensors. Zeitschrift für Gerontologie und Geriatrie. 46(8). 720–726. 18 indexed citations

16.

Aziz, Omar, Edward J. Park, Greg Mori, & Stephen N. Robinovitch. (2013). Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers. Gait & Posture. 39(1). 506–512. 44 indexed citations

17.

Aziz, Omar, et al.. (2012). Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines. PubMed. 2012. 5837–5840. 19 indexed citations

18.

Aziz, Omar, et al.. (2011). Perineal hernia following abdominoperineal excision of rectum. British Journal of Hospital Medicine. 72(6). 352–352. 1 indexed citations

19.

Aziz, Omar & Stephen N. Robinovitch. (2011). An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(6). 670–676. 80 indexed citations

20.

Robinovitch, Stephen N., Yijian Yang, Thiago Augusto Sarraf, et al.. (2010). Video capture of the causes and activities associated with real-life falls among older adults residing in long-term care. Gerontechnology. 9(2). 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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