David A. Good
- Social Psychology
- Sociology and Political Science
- Political Science and International Relations
- Mechanical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Nathan CrillyP. John ClarksonDerek MatraversJ. McLachlanFiona PattersonAnne KandlerAriane BurkeKim Walker
- Topics
- Technology Use by Older Adults (4 papers)Public Policy and Administration Research (3 papers)Aging and Gerontology Research (3 papers)
- Cited by
- Public AdministrationHuman-Computer InteractionNeuropsychology and Physiological Psychology
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
David A. Good
24 papers receiving 246 citations
Peers
Comparison fields: 5 of 91
- Social Psychology 59
- Sociology and Political Science 41
- Political Science and International Relations 35
- Mechanical Engineering 35
- Public Health, Environmental and Occupational Health 33
Countries citing papers authored by David A. Good
This map shows the geographic impact of David A. Good'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 David A. Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Good more than expected).
Fields of papers citing papers by David A. Good
This network shows the impact of papers produced by David A. Good. 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 David A. Good. The network helps show where David A. Good may publish in the future.
Co-authorship network of co-authors of David A. Good
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Good. A scholar is included among the top collaborators of David A. Good 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 David A. Good. David A. Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 31 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 14 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 88 | |
| 12 | The politics of public money : spenders, guardians, priority setters, and financial watchdogs inside the Canadian government | 20 |
| 13 | Parliament and Public Money: Players and Police | 4 |
| 14 | Minority Government and Public Servants | 3 |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 4 |
About David A. Good
David A. Good is a scholar working on Neuropsychology and Physiological Psychology, Public Administration and Architecture, having authored 26 papers that have together received 281 indexed citations. Recurring topics across this work include Technology Use by Older Adults (4 papers), Public Policy and Administration Research (3 papers) and Aging and Gerontology Research (3 papers). The work is most often cited by research in Public Administration (22 citations), Human-Computer Interaction (27 citations) and Neuropsychology and Physiological Psychology (5 citations). David A. Good has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Nathan Crilly, P. John Clarkson, Derek Matravers, J. McLachlan, Fiona Patterson, Anne Kandler, Ariane Burke, Kim Walker, Fran Cousans and Mao Mao. Their work appears in journals such as Frontiers in Human Neuroscience, Journal of Policy Analysis and Management and Design Studies.
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.