Greg W. Arling

80 papers receiving 2.1k citations

Greg W. Arling's Hit Papers

Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic 2021 · 213 citations
2130+1+3Years since publication50100150200

Peers

Greg W. Arling
Comparison fields: 5 of 104
  • Neuropsychology and Physiological Psychology 87
  • Geriatrics and Gerontology 158
  • General Health Professions 1.0k
  • Health 304
  • Demography 207
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Countries citing papers authored by Greg W. Arling

Since Specialization
Citations

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

Fields of papers citing papers by Greg W. Arling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg W. Arling. 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 Greg W. Arling. The network helps show where Greg W. Arling may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic
Hit paper breakdown →
2021213
2 2012205
3 1976200
4 200678
5
Use of in-home care by very old people.
198476
6 200573
7 201466
8 201466
9 198463
10 198358
11 201053
12 200651
13
Nursing home cost and ownership type: evidence of interaction effects.
198740
14 198540
15 198738
16 201138
17 201836
18 201733
19 201933
20 201232

About Greg W. Arling

Greg W. Arling is a scholar working on General Health Professions, Psychiatry and Mental health, Geriatrics and Gerontology, Health and Epidemiology, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (46 papers), Dementia and Cognitive Impairment Research (14 papers), Acute Ischemic Stroke Management (14 papers), Palliative Care and End-of-Life Issues (8 papers), Health disparities and outcomes (8 papers), Frailty in Older Adults (6 papers), Healthcare Policy and Management (4 papers) and Intergenerational Family Dynamics and Caregiving (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (87 citations), Geriatrics and Gerontology (158 citations), General Health Professions (1.0k citations), Health (304 citations) and Demography (207 citations). Greg W. Arling has collaborated with scholars based in United States, Vietnam and Canada. Frequent co-authors include William J. McAuley, Robert L Kane, Teresa Lewis, Christopher M. Callahan, Kathleen A. Abrahamson, Christine Mueller, Anthony J. Perkins, Dawn M. Bravata, Timothy E. Stump and Marc B. Rosenman. Their work appears in journals such as Medical Care, Journal of the American Medical Directors Association, Health Services Research, Circulation Cardiovascular Quality and Outcomes and The Gerontologist.

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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