David Lowsky

582 citations
9 papers · 407 · 1 hit paper · h-index 4

Impact in

Papers in

David Lowsky

8 papers receiving 396 citations

David Lowsky's Hit Papers

Heterogeneity in Healthy Aging 2013 · 364 citations
3640+4+8Years since publication100200300

Peers

David Lowsky
Comparison fields: 5 of 99
  • Neuropsychology and Physiological Psychology 31
  • Geriatrics and Gerontology 54
  • Aging 30
  • Health 43
  • Demography 37
Replace I‐Chien Wu with:
I‐Chien Wu Taiwan
Emmanuel González-Bautista France
Jonathan K. L. Mak Sweden
Xiaohui Ren China
Lucy Gomes Brazil
Wei‐Min Chu Taiwan
Rosalinda Sánchez‐Arenas Mexico
Mikael Anne Greenwood-Hickman United States
Glenda Augustine United Kingdom
Vahidreza Borhaninejad Iran
David Lowsky relative to I‐Chien Wu Taiwan I‐Chien Wu's profile →
Citations per field
00.5×2×3×4.1×
I‐Chien Wu · 1×
Citations per year

Countries citing papers authored by David Lowsky

Since Specialization
Citations

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

Fields of papers citing papers by David Lowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside David Lowsky, 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 David Lowsky Line = papers co-authored together David Lowsky links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Heterogeneity in Healthy Aging
Hit paper breakdown →
2013364
2 201322
3 201412
4 20124
5
Flattening the Trajectory of Health Care Spending
20122
6 20181
7 20121
8 20121
9 20120

About David Lowsky

David Lowsky is a scholar working on General Health Professions, Economics and Econometrics, Infectious Diseases, Health and Epidemiology, having authored 9 papers that have together received 407 indexed citations. Recurring topics across this work include Healthcare Policy and Management (4 papers), Global Health Care Issues (2 papers), Primary Care and Health Outcomes (2 papers), HIV/AIDS Research and Interventions (1 paper), Health disparities and outcomes (1 paper), Statistical Methods and Bayesian Inference (1 paper), HIV, Drug Use, Sexual Risk (1 paper) and Adolescent Sexual and Reproductive Health (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (31 citations), Geriatrics and Gerontology (54 citations), Aging (30 citations), Health (43 citations) and Demography (37 citations). David Lowsky has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Dana P. Goldman, S. Jay Olshansky, Jay Bhattacharya, J. Richard Thistlethwaite, Yong Ding, Donald Lee, Stefanos Zenios, Charles E. McCulloch, Gery W. Ryan and Mark T. Linthicum. Their work appears in journals such as Statistics in Medicine, The Journals of Gerontology Series A, Health Affairs, MDM Policy & Practice and RAND Corporation eBooks.

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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