Maud Graff

3.6k citations
103 papers · 2.5k · h-index 25

Impact in

Papers in

Maud Graff

97 papers receiving 2.4k citations

Peers

Maud Graff
Comparison fields: 5 of 112
  • Occupational Therapy 344
  • Psychiatry and Mental health 741
  • Rehabilitation 138
  • Geriatrics and Gerontology 70
  • General Health Professions 496
Replace Ewa Wressle with:
Ewa Wressle Sweden
Marie P. Dennis United States
Anne Carswell Canada
Catherine Verrier Piersol United States
William Levack New Zealand
Zoë Hoare United Kingdom
Ulla Sonn Sweden
Estélio Henrique Martin Dantas Brazil
Michael McCue United States
Deborah Lieberman United States
Maud Graff relative to Ewa Wressle Sweden Ewa Wressle's profile →
Citations per field
00.5×5.2×
Ewa Wressle · 1×
Citations per year

Countries citing papers authored by Maud Graff

Since Specialization
Citations

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

Fields of papers citing papers by Maud Graff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006362
2 2008207
3 2007202
4 2016170
5 2014165
6 201981
7 201267
8 201766
9 200653
10 201147
11 201241
12 201341
13 201138
14 200334
15 202034
16 201533
17 201032
18 201531
19 201131
20 199928

About Maud Graff

Maud Graff is a scholar working on Psychiatry and Mental health, General Health Professions, Occupational Therapy, Rehabilitation and Neurology, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (18 papers), Occupational Therapy Practice and Research (11 papers), Geriatric Care and Nursing Homes (7 papers), Aging, Elder Care, and Social Issues (4 papers), Stroke Rehabilitation and Recovery (4 papers), Long-Term Effects of COVID-19 (3 papers), Cerebral Palsy and Movement Disorders (3 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Occupational Therapy (344 citations), Psychiatry and Mental health (741 citations), Rehabilitation (138 citations), Geriatrics and Gerontology (70 citations) and General Health Professions (496 citations). Maud Graff has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Joost Dekker, W.H.L. Hoefnagels, Myrra J M Vernooij-Dassen, Marjolein Thijssen, Marcel G. M. Olde Rikkert, Maria W. G. Nijhuis–van der Sanden, Myrra Vernooij‐Dassen, Marcel Olde‐Rikkert, Ingrid H.W.M. Sturkenboom and Eddy Adang. Their work appears in journals such as BMC Geriatrics, BMJ Open, International Psychogeriatrics, Clinical Rehabilitation and Disability and Rehabilitation.

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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