S. Kell

882 citations
12 papers · 614 · h-index 9

Impact in

Papers in

S. Kell

10 papers receiving 584 citations

Peers

S. Kell
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 409
  • Physical Therapy, Sports Therapy and Rehabilitation 51
  • Periodontics 25
  • Biomedical Engineering 235
  • Demography 61
Replace Saisakul Chernbumroong with:
Saisakul Chernbumroong United Kingdom
Pierre Barralon France
M. Alwan United States
Amaya Arcelus Canada
Foad Dabiri United States
Daniel Kelly Ireland
David Mack United States
Giovanni Diraco Italy
Roanna Lun United States
Guglielmo Cola Italy
S. Kell relative to Saisakul Chernbumroong United Kingdom Saisakul Chernbumroong's profile →
Citations per field
00.5×10×15×20×25×
Saisakul Chernbumroong · 1×
Citations per year

Countries citing papers authored by S. Kell

Since Specialization
Citations

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

Fields of papers citing papers by S. Kell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside S. Kell, 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 S. Kell Line = papers co-authored together S. Kell links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006295
2 200893
3 200692
4 201549
5
A Rule-Based Approach to the Analysis of Elders' Activity Data: Detection of Health and Possible Emergency Conditions.
200527
6 200617
7 202217
8 200612
9 20069
10 20063
11 20240
12 20250

About S. Kell

S. Kell is a scholar working on General Health Professions, Health, Computer Vision and Pattern Recognition, Demography and Ecology, having authored 12 papers that have together received 614 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Health disparities and outcomes (3 papers), Technology Use by Older Adults (3 papers), Geriatric Care and Nursing Homes (3 papers), Indigenous Studies and Ecology (2 papers), Wildlife Ecology and Conservation (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Pacific and Southeast Asian Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (409 citations), Physical Therapy, Sports Therapy and Rehabilitation (51 citations), Periodontics (25 citations), Biomedical Engineering (235 citations) and Demography (61 citations). S. Kell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robin A. Felder, M. Alwan, David Mack, Prabhu Jude Rajendran, Michael Wolfe, Beverely Turner, Majd Alwan, Jon C. Leachtenauer, G. Virone and John A. Stankovic. Their work appears in journals such as Ecology and Society, Conservation Biology, People and Nature, British Journal of Sports Medicine and National Conference on Artificial Intelligence.

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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