Margriet Pol

21 papers receiving 379 citations

Peers

Margriet Pol
Comparison fields: 5 of 70
  • Geriatrics and Gerontology 17
  • Applied Psychology 17
  • Demography 39
  • General Health Professions 65
  • Neuropsychology and Physiological Psychology 4
Replace Nolwenn Lapierre with:
Nolwenn Lapierre Canada
Niina Keränen Finland
A. Franco France
Jane Chung United States
Khalisa Bolling United States
Shraddhaa Narasimha United States
Elin Thygesen Norway
Kristine Newman Canada
Jennifer Sumner Singapore
Jonathan Joe United States
Margriet Pol relative to Nolwenn Lapierre Canada Nolwenn Lapierre's profile →
Citations per field
00.5×
Nolwenn Lapierre · 1×
Citations per year

Countries citing papers authored by Margriet Pol

Since Specialization
Citations

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

Fields of papers citing papers by Margriet Pol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Margriet Pol, 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 Margriet Pol Line = papers co-authored together Margriet Pol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022120
2 201448
3 201933
4 201726
5 201926
6 201421
7 201320
8 202317
9 202213
10
How Is Grandma Doing? Predicting Functional Health Status from Binary Ambient Sensor Data
201213
11 202312
12 202312
13 20239
14 20204
15 20164
16 20244
17
Sensor monitoring to measure and support activities of daily living for independently living older persons
20192
18 20142
19 20241
20 20251

About Margriet Pol

Margriet Pol is a scholar working on Computer Vision and Pattern Recognition, Surgery, Public Health, Environmental and Occupational Health, Occupational Therapy and General Health Professions, having authored 24 papers that have together received 389 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Hip and Femur Fractures (3 papers), Telemedicine and Telehealth Implementation (2 papers), Resilience and Mental Health (1 paper), Technology Use by Older Adults (1 paper), Mobile Health and mHealth Applications (1 paper), Delphi Technique in Research (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Geriatrics and Gerontology (17 citations), Applied Psychology (17 citations), Demography (39 citations), General Health Professions (65 citations) and Neuropsychology and Physiological Psychology (4 citations). Margriet Pol has collaborated with scholars based in Netherlands, Canada and Australia. Frequent co-authors include Ben Kröse, Bianca M. Buurman, Margo van Hartingsveldt, Mohamed-Amine Choukou, Diana C. Sanchez‐Ramirez, Mohy Uddin, Shabbir Syed-Abdul, Caroline Monnin, Fenna van Nes and Gerben ter Riet. Their work appears in journals such as Age and Ageing, JMIR Rehabilitation and Assistive Technologies, Disability and Rehabilitation, Methods of Information in Medicine and Journal of the American Geriatrics Society.

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.

Explore authors with similar magnitude of impact