Tapas Ray

24 papers receiving 453 citations

Peers

Tapas Ray
Comparison fields: 5 of 103
  • Radiological and Ultrasound Technology 97
  • Medical Laboratory Technology 16
  • General Health Professions 218
  • Organizational Behavior and Human Resource Management 72
  • Social Psychology 87
Replace Kïrsten A. Way with:
Kïrsten A. Way Australia
Cristina Di Tecco Italy
A. Goudswaard Netherlands
Diego Montaño Germany
C. Gail Hepburn Canada
Helena Carvalho Portugal
Per Øystein Saksvik Norway
Agnès Parent-Thirion France
Aikaterini Grimani United Kingdom
Basak Yanar Canada
Tapas Ray relative to Kïrsten A. Way Australia Kïrsten A. Way's profile →
Citations per field
00.5×2.8×
Kïrsten A. Way · 1×
Citations per year

Countries citing papers authored by Tapas Ray

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 202194
3 202135
4 201334
5 201734
6 202425
7 202125
8 201022
9 202217
10 200516
11 201113
12 201712
13 201212
14
Persons with major psychiatric illness in prisons--a three years study.
200911
15 201010
16 201710
17 20145
18 20244
19 20123
20 20221

About Tapas Ray

Tapas Ray is a scholar working on Radiological and Ultrasound Technology, Medical Laboratory Technology, General Health Professions, Finance and Demography, having authored 26 papers that have together received 483 indexed citations. Recurring topics across this work include Workplace Health and Well-being (10 papers), Occupational Health and Safety Research (6 papers), Employment and Welfare Studies (6 papers), Retirement, Disability, and Employment (3 papers), Global Public Health Policies and Epidemiology (2 papers), Diabetes Management and Education (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Stress and Burnout Research (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (97 citations), Medical Laboratory Technology (16 citations), General Health Professions (218 citations), Organizational Behavior and Human Resource Management (72 citations) and Social Psychology (87 citations). Tapas Ray has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Regina Pana‐Cryan, Anasua Bhattacharya, Abay Asfaw, Tat’Yana A. Kenigsberg, Chia‐Chia Chang, Paul A. Schulte, John Howard, Gary A. Roth, Dawn N. Castillo and Naomi G. Swanson. Their work appears in journals such as American Journal of Industrial Medicine, Industrial Health, JAMA Network Open, International Journal of Environmental Research and Public Health and Journal of Safety Research.

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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