Don E. Bradley

988 citations
16 papers · 776 · h-index 14

Impact in

Papers in

Don E. Bradley

16 papers receiving 700 citations

Peers

Don E. Bradley
Comparison fields: 5 of 73
  • Demography 336
  • Management of Technology and Innovation 173
  • Business and International Management 35
  • Neuropsychology and Physiological Psychology 18
  • Health 90
Replace Milena Nikolova with:
Milena Nikolova United States
Yoon G. Lee United States
Costanzo Ranci Italy
Jeremy Northcote Australia
Gabrielle A. Brenner Canada
Leann M. Tigges United States
Carlos Teixeira Canada
Lucia Lo Canada
Deborah Smeaton United Kingdom
Jamie P. Halsall United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Don E. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Don E. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don E. Bradley. 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 Don E. Bradley. The network helps show where Don E. Bradley may publish in the future.

Co-authors

The 17 scholars most cited alongside Don E. Bradley, 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 Don E. Bradley Line = papers co-authored together Don E. Bradley links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003293
2 200799
3 200861
4 200343
5 200835
6 200634
7
How Older People Think about Images of Aging in Advertising and the Media.
200133
8 201028
9 200928
10
Uneven growth: tackling city decline
201628
11 201027
12 200625
13 200815
14 200414
15
Self-Employment and Job Satisfaction: Investigating the Role Self-Efficacy, Depression, and Seniority
20047
16 20066

About Don E. Bradley

Don E. Bradley is a scholar working on Demography, Sociology and Political Science, Management of Technology and Innovation, General Agricultural and Biological Sciences and Neuropsychology and Physiological Psychology, having authored 16 papers that have together received 776 indexed citations. Recurring topics across this work include Migration, Aging, and Tourism Studies (12 papers), Migration and Labor Dynamics (5 papers), Entrepreneurship Studies and Influences (3 papers), Migration, Ethnicity, and Economy (3 papers), Digital Economy and Work Transformation (2 papers), Rural development and sustainability (2 papers), Urban Transport and Accessibility (1 paper) and Geriatric Care and Nursing Homes (1 paper). The work is most often cited by research in Demography (336 citations), Management of Technology and Innovation (173 citations), Business and International Management (35 citations), Neuropsychology and Physiological Psychology (18 citations) and Health (90 citations). Don E. Bradley has collaborated with scholars based in United States. Frequent co-authors include James A. Roberts, Charles F. Longino, Viviana Rojas, Thankam Sunil, William H. Haas, E. P. Stoller, Marieke Van Willigen, Eleanor Palo Stoller, William J. Serow and R. Turner Goins. Their work appears in journals such as The Gerontologist, Ageing and Society, Journal of Applied Gerontology, Journal of Aging and Health and Journal of Small Business Management.

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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