Carmen Abbott

30 papers receiving 581 citations

Peers

Carmen Abbott
Comparison fields: 5 of 96
  • Physical Therapy, Sports Therapy and Rehabilitation 260
  • Computer Vision and Pattern Recognition 229
  • Geriatrics and Gerontology 34
  • Rehabilitation 52
  • Psychiatry and Mental health 82
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Cliodhna Ní Scanaill Ireland
Matthias Gietzelt Germany
Janneke Annegarn Netherlands
K.M. Culhane Ireland
Luca Palmerini Italy
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Rahul Soangra United States
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Citations per year

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-authors

The 25 scholars most cited alongside Carmen Abbott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carmen Abbott Line = papers co-authored together Carmen Abbott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201476
2 201365
3 201564
4 201642
5 201341
6 201035
7 201030
8 201228
9 201525
10 202222
11 201520
12 201920
13 201919
14 201018
15 201313
16 201612
17 201110
18 201010
19 200910
20 200810

About Carmen Abbott

Carmen Abbott is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 32 papers that have together received 609 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (22 papers), Gait Recognition and Analysis (13 papers), Context-Aware Activity Recognition Systems (9 papers), Diabetic Foot Ulcer Assessment and Management (6 papers), Human Pose and Action Recognition (5 papers), Stroke Rehabilitation and Recovery (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (260 citations), Computer Vision and Pattern Recognition (229 citations), Geriatrics and Gerontology (34 citations), Rehabilitation (52 citations) and Psychiatry and Mental health (82 citations). Carmen Abbott has collaborated with scholars based in United States and Canada. Frequent 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 Laurel Despins. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Journal of Gerontological Nursing, Western Journal of Nursing Research, Gait & Posture and Journal of Clinical Psychology.

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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