Carmen Abbott

844 total citations
32 papers, 609 citations indexed

About

Carmen Abbott is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carmen Abbott has authored 32 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physical Therapy, Sports Therapy and Rehabilitation, 16 papers in Biomedical Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carmen Abbott's work include Balance, Gait, and Falls Prevention (22 papers), Gait Recognition and Analysis (13 papers) and Context-Aware Activity Recognition Systems (9 papers). Carmen Abbott is often cited by papers focused on Balance, Gait, and Falls Prevention (22 papers), Gait Recognition and Analysis (13 papers) and Context-Aware Activity Recognition Systems (9 papers). Carmen Abbott collaborates with scholars based in United States and Canada. Carmen Abbott's co-authors include Marjorie Skubic, Marilyn Rantz, James M. Keller, Erik E. Stone, Fang Wang, Colleen Galambos, Mihail Popescu, Steven J. Miller, Gregory L. Alexander and Kathryn H. Bowles and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Gerontologist and Gait & Posture.

In The Last Decade

Carmen Abbott

30 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Abbott United States 14 260 229 212 82 66 32 609
Cliodhna Ní Scanaill Ireland 13 259 1.0× 279 1.2× 238 1.1× 83 1.0× 49 0.7× 16 746
Matthias Gietzelt Germany 20 335 1.3× 353 1.5× 236 1.1× 116 1.4× 45 0.7× 57 943
K.M. Culhane Ireland 8 270 1.0× 214 0.9× 285 1.3× 89 1.1× 41 0.6× 10 719
Janneke Annegarn Netherlands 17 324 1.2× 144 0.6× 126 0.6× 131 1.6× 46 0.7× 18 951
Andreas Ejupi Australia 15 374 1.4× 186 0.8× 176 0.8× 175 2.1× 40 0.6× 20 722
James Tung Canada 14 201 0.8× 101 0.4× 174 0.8× 119 1.5× 59 0.9× 52 705
Che-Chang Yang Taiwan 7 238 0.9× 277 1.2× 409 1.9× 67 0.8× 72 1.1× 11 929
Carlo Tacconi Italy 10 186 0.7× 165 0.7× 147 0.7× 82 1.0× 18 0.3× 16 472
Heribert Baldus Germany 16 268 1.0× 104 0.5× 318 1.5× 127 1.5× 22 0.3× 28 868
Luca Palmerini Italy 18 533 2.0× 263 1.1× 394 1.9× 205 2.5× 77 1.2× 40 1.0k

Countries citing papers authored by Carmen Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Abbott. A scholar is included among the top collaborators of Carmen Abbott 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 Carmen Abbott. Carmen Abbott 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.
Skubic, Marjorie, Laurel Despins, Mihail Popescu, et al.. (2022). Explainable Fall Risk Prediction in Older Adults Using Gait and Geriatric Assessments. Frontiers in Digital Health. 4. 869812–869812. 22 indexed citations
2.
Jahnke, Isa, et al.. (2021). A Fall Risk Evaluation and Feedback System for Older Adults. International Journal of Sociotechnology and Knowledge Development. 13(2). 105–118. 2 indexed citations
3.
Skubic, Marjorie, Mihail Popescu, Kari R. Lane, et al.. (2020). Tracking personalized functional health in older adults using geriatric assessments. BMC Medical Informatics and Decision Making. 20(1). 270–270. 6 indexed citations
4.
Chase, Jo‐Ana D., et al.. (2019). Caregivers' Perceptions Managing Functional Needs Among Older Adults Receiving Post-Acute Home Health Care. Research in Gerontological Nursing. 12(4). 174–183. 20 indexed citations
5.
Phillips, Lorraine J., Chelsea B. Deroche, Marilyn Rantz, et al.. (2016). Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls. Western Journal of Nursing Research. 39(1). 78–94. 42 indexed citations
6.
Skubic, Marjorie, et al.. (2016). Evaluation of the microsoft kinect skeletal versus depth data analysis for timed-up and go and figure of 8 walk tests. PubMed. 3. 2274–2277. 12 indexed citations
7.
Skubic, Marjorie, et al.. (2015). Development and preliminary validation of an interactive remote physical therapy system. PubMed. 2015. 190–193. 20 indexed citations
8.
Rantz, Marilyn, Marjorie Skubic, Carmen Abbott, et al.. (2015). Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders. The Gerontologist. 55(Suppl 1). S78–S87. 64 indexed citations
9.
Calyam, Prasad, et al.. (2015). Synchronous Big Data analytics for personalized and remote physical therapy. Pervasive and Mobile Computing. 28. 3–20. 25 indexed citations
10.
Stone, Erik E., et al.. (2014). Average in-home gait speed: Investigation of a new metric for mobility and fall risk assessment of elders. Gait & Posture. 41(1). 57–62. 76 indexed citations
11.
Rantz, Marilyn, Marjorie Skubic, Carmen Abbott, et al.. (2013). In-Home Fall Risk Assessment and Detection Sensor System. Journal of Gerontological Nursing. 39(7). 18–22. 41 indexed citations
12.
Wang, Fang, Erik E. Stone, Marjorie Skubic, et al.. (2013). Toward a Passive Low-Cost In-Home Gait Assessment System for Older Adults. IEEE Journal of Biomedical and Health Informatics. 17(2). 346–355. 65 indexed citations
13.
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
14.
Cuddihy, Paul, Tarik Yardibi, Liang Liu, et al.. (2012). Radar walking speed measurements of seniors in their apartments: Technology for fall prevention. PubMed. 2012. 260–263. 28 indexed citations
15.
Wang, Fang, M. Skubic, Carmen Abbott, & James M. Keller. (2011). Quantitative analysis of 180 degree turns for fall risk assessment using video sensors. PubMed. 2011. 7606–7609. 10 indexed citations
16.
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
17.
Wang, Fang, Marjorie Skubic, Carmen Abbott, & James M. Keller. (2010). Body sway measurement for fall risk assessment using inexpensive webcams. PubMed. 2010. 2225–2229. 30 indexed citations
18.
Aud, Myra A., et al.. (2010). Smart Carpet. Journal of Gerontological Nursing. 36(7). 8–12. 18 indexed citations
19.
Keller, James M., et al.. (2010). Sit-to-stand detection using fuzzy clustering techniques. Journal of Bioresource Management. 17. 1–8. 10 indexed citations
20.
Liang, Jun, Carmen Abbott, M. Skubic, & James F. Keller. (2009). Investigation of gait features for stability and risk identification in elders. PubMed. 2009. 6139–6142. 4 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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