Sil Aarts

20.8k total citations · 1 hit paper
40 papers, 14.6k citations indexed

About

Sil Aarts is a scholar working on General Health Professions, Demography and Health. According to data from OpenAlex, Sil Aarts has authored 40 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 8 papers in Demography and 7 papers in Health. Recurrent topics in Sil Aarts's work include Geriatric Care and Nursing Homes (9 papers), Chronic Disease Management Strategies (6 papers) and Health disparities and outcomes (6 papers). Sil Aarts is often cited by papers focused on Geriatric Care and Nursing Homes (9 papers), Chronic Disease Management Strategies (6 papers) and Health disparities and outcomes (6 papers). Sil Aarts collaborates with scholars based in Netherlands, Belgium and Taiwan. Sil Aarts's co-authors include Eveline Wouters, Sebastiaan Theodorus Michaël Peek, Marianne Nieboer, C. S. van der Voort, Hubertus JM Vrijhoef, Katrien Luijkx, Joost van Hoof, Marjan van den Akker, Björn Winkens and Job Metsemakers and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Sil Aarts

37 papers receiving 14.5k citations

Hit Papers

Older Adults' Reasons for Using Technology while Aging in... 2015 2026 2018 2022 2015 4.0k 8.0k 12.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sil Aarts Netherlands 14 5.9k 3.3k 3.0k 1.8k 1.6k 40 14.6k
Marianne Nieboer Netherlands 7 5.8k 1.0× 3.2k 1.0× 2.9k 1.0× 1.7k 1.0× 1.6k 1.0× 16 14.1k
C. S. van der Voort Netherlands 5 5.8k 1.0× 3.2k 1.0× 2.9k 1.0× 1.7k 1.0× 1.6k 1.0× 5 14.1k
Sebastiaan Theodorus Michaël Peek Netherlands 12 5.9k 1.0× 3.3k 1.0× 3.0k 1.0× 1.8k 1.0× 1.6k 1.0× 22 15.5k
Maarit Kangas Finland 22 6.2k 1.0× 3.4k 1.0× 3.2k 1.1× 1.5k 0.9× 1.7k 1.1× 64 16.3k
Irene Vikman Sweden 15 6.2k 1.0× 3.4k 1.0× 2.9k 1.0× 1.5k 0.9× 1.7k 1.1× 29 14.6k
Eveline Wouters Netherlands 24 6.1k 1.0× 3.3k 1.0× 3.1k 1.0× 1.8k 1.0× 1.6k 1.0× 88 16.6k
Jeroen S. Kok Netherlands 5 7.2k 1.2× 3.8k 1.2× 3.2k 1.1× 1.7k 0.9× 1.9k 1.2× 6 15.7k
Raija Korpelainen Finland 36 6.4k 1.1× 3.4k 1.0× 4.0k 1.3× 1.5k 0.9× 1.9k 1.2× 170 18.4k
Ina J. Berg Netherlands 12 7.4k 1.3× 4.0k 1.2× 3.2k 1.1× 1.7k 0.9× 1.9k 1.2× 21 16.0k
Joe Verghese United States 65 8.6k 1.5× 2.4k 0.7× 2.8k 0.9× 1.8k 1.0× 1.2k 0.8× 299 17.3k

Countries citing papers authored by Sil Aarts

Since Specialization
Citations

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

Fields of papers citing papers by Sil Aarts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sil Aarts

This figure shows the co-authorship network connecting the top 25 collaborators of Sil Aarts. A scholar is included among the top collaborators of Sil Aarts 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 Sil Aarts. Sil Aarts 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
2.
Verbeek, Hilde, et al.. (2024). Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults. SHILAP Revista de lepidopterología. 67–85. 1 indexed citations
4.
Verbeek, Hilde, et al.. (2023). Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults. PLoS ONE. 18(11). e0292578–e0292578. 8 indexed citations
5.
Aarts, Sil, et al.. (2022). Health professionals’ sentiments towards implemented information technologies in psychiatric hospitals: a text-mining analysis. BMC Health Services Research. 22(1). 1426–1426. 6 indexed citations
6.
Verbeek, Hilde, et al.. (2022). Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting. PLoS ONE. 17(8). e0268281–e0268281. 8 indexed citations
8.
Wagenmakers, Eric‐Jan, Alexandra Sarafoglou, Sil Aarts, et al.. (2021). Seven steps toward more transparency in statistical practice. Nature Human Behaviour. 5(11). 1473–1480. 29 indexed citations
9.
Aarts, Sil, Ramon Daniëls, Jan P.H. Hamers, & Hilde Verbeek. (2020). Data in de langdurige ouderenzorg. Data Archiving and Networked Services (DANS). 2020(5). 92–96. 1 indexed citations
10.
Aarts, Sil, et al.. (2020). A communication model for nursing staff working in dementia care: Results of a scoping review. International Journal of Nursing Studies. 113. 103776–103776. 35 indexed citations
11.
Peek, Sebastiaan Theodorus Michaël, Katrien Luijkx, Hubertus JM Vrijhoef, et al.. (2019). Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: a dynamical framework. BMC Geriatrics. 19(1). 236–236. 50 indexed citations
12.
Peek, Sebastiaan Theodorus Michaël, Sil Aarts, Marianne Nieboer, et al.. (2016). Use one, use all? Selective use of apps by seniors. Gerontechnology. 15. 54–54. 1 indexed citations
13.
Peek, Sebastiaan Theodorus Michaël, Katrien Luijkx, Marianne Nieboer, et al.. (2015). Older Adults' Reasons for Using Technology while Aging in Place. Gerontology. 62(2). 226–237. 13940 indexed citations breakdown →
14.
Aarts, Sil, M. Garcia, Marjan van den Akker, et al.. (2015). CO-PRESENCE OF MULTIMORBIDITY AND DISABILITY WITH FRAILTY: AN EXAMINATION OF HETEROGENEITY IN THE FRAIL OLDER POPULATION. The Journal of Frailty & Aging. 4(3). 1–8. 37 indexed citations
15.
Vos, Rein, Sil Aarts, Erik M. van Mulligen, et al.. (2013). Finding potentially new multimorbidity patterns of psychiatric and somatic diseases: exploring the use of literature-based discovery in primary care research. Journal of the American Medical Informatics Association. 21(1). 139–145. 12 indexed citations
16.
Aarts, Sil, Marjan van den Akker, Hans Bosma, et al.. (2012). The effect of multimorbidity on health related functioning: Temporary or persistent? Results from a longitudinal cohort study. Journal of Psychosomatic Research. 73(3). 211–217. 49 indexed citations
17.
Aarts, Sil, Björn Winkens, & Marjan van den Akker. (2011). The insignificance of statistical significance. European Journal of General Practice. 18(1). 50–52. 10 indexed citations
18.
Aarts, Sil, Marjan van den Akker, F. E. S. Tan, et al.. (2010). Influence of multimorbidity on cognition in a normal aging population: a 12‐year follow‐up in the Maastricht Aging Study. International Journal of Geriatric Psychiatry. 26(10). 1046–1053. 38 indexed citations
19.
Aarts, Sil, Marjan van den Akker, KlaasJan Hajema, et al.. (2010). Multimorbidity and its relation to subjective memory complaints in a large general population of older adults. International Psychogeriatrics. 23(4). 616–624. 40 indexed citations
20.
Aarts, Sil, Marjan van den Akker, Martin P.J. van Boxtel, et al.. (2009). Diabetes mellitus type II as a risk factor for depression: a lower than expected risk in a general practice setting. European Journal of Epidemiology. 24(10). 641–648. 40 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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