Daiga Kamerāde
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Demography top 5%
- Clinical Psychology
- Social Psychology
- Co-authors
- Brendan BurchellSenhu WangAdam CouttsHelen RichardsonAngela Ellis PaineMatthew BennettTeela SandersLaura Connelly
- Topics
- Employment and Welfare Studies (10 papers)Nonprofit Sector and Volunteering (7 papers)Health disparities and outcomes (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaSocial Science & MedicineHuman Relations
- Partner nations
- United KingdomSingaporeLatvia
In The Last Decade
Daiga Kamerāde
29 papers receiving 424 citations
Peers
Comparison fields: 5 of 79
- General Health Professions 221
- Sociology and Political Science 198
- Demography 90
- Clinical Psychology 58
- Social Psychology 53
Countries citing papers authored by Daiga Kamerāde
This map shows the geographic impact of Daiga Kamerāde'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 Daiga Kamerāde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiga Kamerāde more than expected).
Fields of papers citing papers by Daiga Kamerāde
This network shows the impact of papers produced by Daiga Kamerāde. 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 Daiga Kamerāde. The network helps show where Daiga Kamerāde may publish in the future.
Co-authorship network of co-authors of Daiga Kamerāde
This figure shows the co-authorship network connecting the top 25 collaborators of Daiga Kamerāde. A scholar is included among the top collaborators of Daiga Kamerāde based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daiga Kamerāde. Daiga Kamerāde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 12 | |
| 5 | The impacts of volunteering on the subjective wellbeing of volunteers: A rapid evidence assessment | 10 |
| 6 | 32 | |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 83 | |
| 11 | 18 | |
| 12 | 50 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | Anomia as a factor predicting subjective well-being | 4 |
| 16 | 9 | |
| 17 | 31 | |
| 18 | Volunteering during unemployment: more skills but where is the job? | 1 |
| 19 | Group role-play as a method of facilitating student to student interaction and making theory relevant | 5 |
| 20 | 2 |
About Daiga Kamerāde
Daiga Kamerāde is a scholar working on Health, Tourism, Leisure and Hospitality Management and Demography, having authored 32 papers that have together received 447 indexed citations. Recurring topics across this work include Employment and Welfare Studies (10 papers), Nonprofit Sector and Volunteering (7 papers) and Health disparities and outcomes (7 papers). The work is most often cited by research in General Health Professions (221 citations), Demography (90 citations) and Health (49 citations). Daiga Kamerāde has collaborated with scholars based in United Kingdom, Singapore and Latvia. Frequent co-authors include Brendan Burchell, Senhu Wang, Adam Coutts, Helen Richardson, Angela Ellis Paine, Matthew Bennett, Teela Sanders, Laura Connelly, Mags Adams and Graeme Sherriff. Their work appears in journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Human Relations.
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.