Justin Dainer‐Best
- Experimental and Cognitive Psychology top 5%
- Clinical Psychology top 5%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Behavioral Neuroscience top 10%
- Co-authors
- Christopher G. BeeversJason ShumakeAmishi P. JhaAlexandra B. MorrisonSuzanne C. ParkerElizabeth A. StanleyGili FreedmanRebecca J. Compton
- Topics
- Mental Health Research Topics (13 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers)Neural and Behavioral Psychology Studies (5 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Justin Dainer‐Best
17 papers receiving 551 citations
Peers
Comparison fields: 5 of 62
- Experimental and Cognitive Psychology 320
- Clinical Psychology 261
- Cognitive Neuroscience 243
- Social Psychology 87
- Behavioral Neuroscience 43
Countries citing papers authored by Justin Dainer‐Best
This map shows the geographic impact of Justin Dainer‐Best'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 Justin Dainer‐Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Dainer‐Best more than expected).
Fields of papers citing papers by Justin Dainer‐Best
This network shows the impact of papers produced by Justin Dainer‐Best. 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 Justin Dainer‐Best. The network helps show where Justin Dainer‐Best may publish in the future.
Co-authorship network of co-authors of Justin Dainer‐Best
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Dainer‐Best. A scholar is included among the top collaborators of Justin Dainer‐Best 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 Justin Dainer‐Best. Justin Dainer‐Best is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 88 | |
| 8 | 11 | |
| 9 | 43 | |
| 10 | 20 | |
| 11 | 24 | |
| 12 | 39 | |
| 13 | 64 | |
| 14 | 143 | |
| 15 | 42 | |
| 16 | 63 | |
| 17 | 2 |
About Justin Dainer‐Best
Justin Dainer‐Best is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Cognitive Neuroscience, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Mental Health Research Topics (13 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (320 citations), Cognitive Neuroscience (243 citations) and Clinical Psychology (261 citations). Justin Dainer‐Best has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Christopher G. Beevers, Jason Shumake, Amishi P. Jha, Alexandra B. Morrison, Suzanne C. Parker, Elizabeth A. Stanley, Gili Freedman, Rebecca J. Compton, John E. McGeary and John J. B. Allen. Their work appears in journals such as PLoS ONE, Journal of Abnormal Psychology and Behaviour Research and Therapy.
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.