Tom Douglass
Impact in
- Marketing top 5%
- Consumer Retail Behavior Studies
- Consumer Behavior in Brand Consumption and Identification
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- Technology Adoption and User Behaviour
Papers in
- Health 4
- Vaccine Coverage and Hesitancy 4
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- Health Policy Implementation Science 1
- Patient-Provider Communication in Healthcare 1
- Co-authors
- Alireza Golmohammadi (1 shared paper)Pankaj Setia (1 shared paper)Venkatesh Shankar (1 shared paper)Kirthi Kalyanam (1 shared paper)Seshadri Tirunillai (1 shared paper)Michael Calnan (3 shared papers)Richard Simmons (1 shared paper)Bethan Benwell (1 shared paper)
- Journals
- Vaccine X (1 paper)Qualitative Health Research (1 paper)Health Risk & Society (1 paper)International Journal of Social Research Methodology (1 paper)Journal of Retailing (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Tom Douglass
8 papers receiving 322 citations
Tom Douglass's Hit Papers
Peers
Comparison fields: 5 of 66
- Marketing 180
- Information Systems and Management 74
- Organizational Behavior and Human Resource Management 47
- Health 31
- Sociology and Political Science 114
Countries citing papers authored by Tom Douglass
This map shows the geographic impact of Tom Douglass'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 Tom Douglass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Douglass more than expected).
Fields of papers citing papers by Tom Douglass
This network shows the impact of papers produced by Tom Douglass. 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 Tom Douglass. The network helps show where Tom Douglass may publish in the future.
Co-authors
The 18 scholars most cited alongside Tom Douglass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | How Technology is Changing Retail Hit paper breakdown → | 2020 | 267 |
| 2 | 2020 | 19 | |
| 3 | 2023 | 16 | |
| 4 | 2016 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 |
About Tom Douglass
Tom Douglass is a scholar working on Health, General Health Professions, Sociology and Political Science, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 336 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Viral Infections and Outbreaks Research (2 papers), Qualitative Research Methods and Ethics (2 papers), Ethics and Legal Issues in Pediatric Healthcare (2 papers), Health Policy Implementation Science (1 paper), Patient-Provider Communication in Healthcare (1 paper), Housing, Finance, and Neoliberalism (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Marketing (180 citations), Information Systems and Management (74 citations), Organizational Behavior and Human Resource Management (47 citations), Health (31 citations) and Sociology and Political Science (114 citations). Tom Douglass has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Alireza Golmohammadi, Pankaj Setia, Venkatesh Shankar, Kirthi Kalyanam, Seshadri Tirunillai, Michael Calnan, Richard Simmons, Bethan Benwell, Ruth Parry and Joana Mendonça. Their work appears in journals such as Vaccine X, Qualitative Health Research, Health Risk & Society, International Journal of Social Research Methodology and Journal of Retailing.
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.