Mario Gregorio
Impact in
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- Aging and Gerontology Research
- Social Psychology top 10%
- Social Robot Interaction and HRI
Papers in
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- Geriatric Care and Nursing Homes 6
- Mental Health and Patient Involvement 5
- Community Health and Development 2
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- Social Robot Interaction and HRI 4
- Co-authors
- Lillian Hung (16 shared papers)Jim Mann (12 shared papers)Annette Berndt (11 shared papers)Neil Horne (9 shared papers)Christine Wallsworth (9 shared papers)Habib Chaudhury (6 shared papers)Andy Au-Yeung (3 shared papers)Cindy H. Liu (3 shared papers)
- Journals
- BMJ Open (3 papers)Dementia (2 papers)International Journal of Older People Nursing (1 paper)BMC Geriatrics (1 paper)Innovation in Aging (1 paper)
- Partner nations
- CanadaUnited StatesSouth Sudan
In The Last Decade
Mario Gregorio
17 papers receiving 450 citations
Mario Gregorio's Hit Papers
Peers
Comparison fields: 5 of 61
- Neuropsychology and Physiological Psychology 19
- Social Psychology 146
- Health Informatics 9
- Demography 78
- Applied Psychology 28
Countries citing papers authored by Mario Gregorio
This map shows the geographic impact of Mario Gregorio'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 Mario Gregorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Gregorio more than expected).
Fields of papers citing papers by Mario Gregorio
This network shows the impact of papers produced by Mario Gregorio. 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 Mario Gregorio. The network helps show where Mario Gregorio may publish in the future.
Co-authors
The 20 scholars most cited alongside Mario Gregorio, 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 | The benefits of and barriers to using a social robot PARO in care settings: a scoping review Hit paper breakdown → | 2019 | 191 |
| 2 | 2019 | 58 | |
| 3 | 2021 | 51 | |
| 4 | 2020 | 36 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 31 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 |
About Mario Gregorio
Mario Gregorio is a scholar working on General Health Professions, Social Psychology, Sociology and Political Science, Psychiatry and Mental health and Health, having authored 18 papers that have together received 458 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (6 papers), Mental Health and Patient Involvement (5 papers), Social Robot Interaction and HRI (4 papers), Dementia and Cognitive Impairment Research (3 papers), Technology Use by Older Adults (2 papers), Health disparities and outcomes (2 papers), Community Health and Development (2 papers) and Intergenerational Family Dynamics and Caregiving (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (19 citations), Social Psychology (146 citations), Health Informatics (9 citations), Demography (78 citations) and Applied Psychology (28 citations). Mario Gregorio has collaborated with scholars based in Canada, United States and South Sudan. Frequent co-authors include Lillian Hung, Jim Mann, Annette Berndt, Neil Horne, Christine Wallsworth, Habib Chaudhury, Andy Au-Yeung, Cindy H. Liu, Lily Wong and Lynn Jackson. Their work appears in journals such as BMJ Open, Dementia, International Journal of Older People Nursing, BMC Geriatrics and Innovation in Aging.
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.