Marjorie Skubic

9.3k total citations · 2 hit papers
240 papers, 6.4k citations indexed

About

Marjorie Skubic is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Marjorie Skubic has authored 240 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 86 papers in Biomedical Engineering and 52 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Marjorie Skubic's work include Context-Aware Activity Recognition Systems (82 papers), Balance, Gait, and Falls Prevention (51 papers) and Gait Recognition and Analysis (47 papers). Marjorie Skubic is often cited by papers focused on Context-Aware Activity Recognition Systems (82 papers), Balance, Gait, and Falls Prevention (51 papers) and Gait Recognition and Analysis (47 papers). Marjorie Skubic collaborates with scholars based in United States, France and China. Marjorie Skubic's co-authors include Marilyn Rantz, Erik E. Stone, James M. Keller, George Demiris, Mihail Popescu, Myra A. Aud, Derek T. Anderson, Gregory L. Alexander, K. C. Ho and Harry W. Tyrer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Marjorie Skubic

229 papers receiving 6.1k citations

Hit Papers

Older adults' attitudes towards and perceptions of ‘smart... 2004 2026 2011 2018 2004 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjorie Skubic United States 40 3.1k 2.2k 939 937 870 240 6.4k
Alex Mihailidis Canada 43 2.1k 0.7× 899 0.4× 446 0.5× 1.4k 1.5× 867 1.0× 260 6.9k
Marilyn Rantz United States 47 2.0k 0.6× 1.3k 0.6× 639 0.7× 1.3k 1.4× 542 0.6× 262 8.4k
Branko G. Celler Australia 38 2.2k 0.7× 2.6k 1.2× 688 0.7× 136 0.1× 488 0.6× 256 6.6k
Norbert Noury France 27 2.0k 0.7× 1.3k 0.6× 343 0.4× 262 0.3× 419 0.5× 104 3.2k
Chris Nugent United Kingdom 42 3.9k 1.2× 1.0k 0.5× 131 0.1× 963 1.0× 1.4k 1.6× 445 8.1k
Paolo Bonato United States 49 1.1k 0.4× 5.4k 2.4× 1.8k 2.0× 165 0.2× 289 0.3× 246 11.1k
Filippo Cavallo Italy 31 817 0.3× 1.2k 0.5× 468 0.5× 357 0.4× 581 0.7× 170 3.9k
Alan Bourke Ireland 25 2.5k 0.8× 2.0k 0.9× 1.0k 1.1× 127 0.1× 340 0.4× 66 3.5k
Benny Lo United Kingdom 42 2.3k 0.8× 3.2k 1.4× 404 0.4× 59 0.1× 1.2k 1.4× 223 8.0k
Gearóid ÓLaighin Ireland 33 1.0k 0.3× 1.3k 0.6× 677 0.7× 174 0.2× 142 0.2× 107 4.1k

Countries citing papers authored by Marjorie Skubic

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie Skubic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjorie Skubic

This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie Skubic. A scholar is included among the top collaborators of Marjorie Skubic 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 Marjorie Skubic. Marjorie Skubic 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.
Proffitt, Rachel, Erin Robinson, Blaine Reeder, et al.. (2024). Smart Technology for Aging and Reducing Disability (STAReD): Study protocol for a randomized pragmatic clinical trial. Contemporary Clinical Trials. 138. 107461–107461.
2.
Skubic, Marjorie. (2024). Building Intelligent Robots In A Cooperative Learning Environment. Papers on Engineering Education Repository (American Society for Engineering Education). 4.113.1–4.113.7.
3.
Zaid, Mohamed, Laurel Despins, David Heise, et al.. (2023). Cardiovascular sex-differences: insights via physiology-based modeling and potential for noninvasive sensing via ballistocardiography. Frontiers in Cardiovascular Medicine. 10. 1215958–1215958. 5 indexed citations
4.
Demiris, George, et al.. (2023). Using depth sensors for a fall risk prediction system for socially vulnerable older adults with cognitive impairment. Alzheimer s & Dementia. 19(S20). 2 indexed citations
5.
Gupta, Pallavi, J. S. Walker, Laurel Despins, et al.. (2023). A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. Journal of Biomedical Informatics. 147. 104530–104530. 3 indexed citations
6.
Proffitt, Rachel, et al.. (2023). Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation. Sensors. 23(18). 7872–7872. 5 indexed citations
7.
Gupta, Pallavi, et al.. (2022). Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. 2022 IEEE International Conference on Big Data (Big Data). 3124–3130. 1 indexed citations
8.
Proffitt, Rachel, et al.. (2018). Data for Validation of Kinect V2 in a full-body virtual reality rehabilitation game. MOspace Institutional Repository (University of Missouri). 1 indexed citations
9.
Su, Bo-Yu, Moein Enayati, K. C. Ho, et al.. (2018). Monitoring the Relative Blood Pressure Using a Hydraulic Bed Sensor System. IEEE Transactions on Biomedical Engineering. 66(3). 740–748. 46 indexed citations
10.
Carlson, Laura A., et al.. (2013). Assessing the effectiveness of older adults' spatial descriptions in a fetch task.. Cognitive Science. 35(35). 1 indexed citations
12.
Rantz, Marilyn, Marjorie Skubic, Carmen Abbott, et al.. (2012). Automated Fall Risk Assessment and Detection in the Home: A Preliminary Investigation. National Conference on Artificial Intelligence. 2 indexed citations
13.
Skubic, Marjorie, et al.. (2011). Human-driven spatial language for human-robot interaction. Human-Robot Interaction. 32–34. 3 indexed citations
14.
Anderson, D. M., et al.. (2010). Extracting footfalls from voxel data. PubMed. 17. 1119–1122. 17 indexed citations
15.
Rantz, Marilyn, et al.. (2010). Dance-Based Therapy in a Program of All-inclusive Care for the Elderly. Nursing Administration Quarterly. 34(2). 156–161. 35 indexed citations
16.
Demiris, George, Brian Hensel, Marjorie Skubic, Marilyn Rantz, & Myra A. Aud. (2007). Examining Senior Residents' Willingness to Adopt Smart Home Sensor Technologies. 1551. 1 indexed citations
17.
Anderson, Derek T., James M. Keller, Marjorie Skubic, Xi Chen, & Zhihai He. (2006). Recognizing Falls from Silhouettes. PubMed. 2006. 6388–6391. 138 indexed citations
18.
Skubic, Marjorie. (2005). Assessing Mobility and Cognitive Problems in Elders.. National Conference on Artificial Intelligence. 88–90. 6 indexed citations
19.
Anderson, Derek T., Craig W. Bailey, & Marjorie Skubic. (2004). Hidden Markov Model Symbol Recognition for Sketch-Based Interfaces.. National Conference on Artificial Intelligence. 15–21. 30 indexed citations
20.
Skubic, Marjorie, et al.. (2004). A Biologically Inspired Adaptive Working Memory for Robots.. National Conference on Artificial Intelligence. 68–75. 19 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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