Marjorie Skubic

180 papers and 4.5k indexed citations i.

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 180 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Vision and Pattern Recognition, 75 papers in Biomedical Engineering and 41 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Marjorie Skubic’s work include Context-Aware Activity Recognition Systems (66 papers), Balance, Gait, and Falls Prevention (40 papers) and Gait Recognition and Analysis (38 papers). Marjorie Skubic is often cited by papers focused on Context-Aware Activity Recognition Systems (66 papers), Balance, Gait, and Falls Prevention (40 papers) and Gait Recognition and Analysis (38 papers). Marjorie Skubic collaborates with scholars based in United States, China and France. Marjorie Skubic's co-authors include Marilyn Rantz, Erik E. Stone, George Demiris, James M. Keller, Myra A. Aud, Mihail Popescu, K. C. Ho, Gregory L. Alexander, Bo-Yu Su and Harry W. Tyrer and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Marjorie Skubic i

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.

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).

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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