Daniel A. Good
Impact in
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Papers in
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- Neural and Behavioral Psychology Studies 3
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 2
- Mental Health Research Topics 1
- Sleep and related disorders 1
- Co-authors
- Michael J. Larson (6 shared papers)Scott A. Baldwin (4 shared papers)Eric A. Storch (1 shared paper)Mirela A. Aldea (1 shared paper)Tanya K. Murphy (1 shared paper)Arjan Berkeljon (2 shared papers)Dean McKay (1 shared paper)Tricia L. Merkley (1 shared paper)
- Journals
- Psychophysiology (2 papers)Journal of Addiction Medicine (1 paper)Journal of the International Neuropsychological Society (1 paper)Clinical Psychology Review (1 paper)Biological Psychology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel A. Good
7 papers receiving 363 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 212
- Experimental and Cognitive Psychology 135
- Clinical Psychology 193
- General Decision Sciences 10
- Applied Psychology 23
Countries citing papers authored by Daniel A. Good
This map shows the geographic impact of Daniel 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 Daniel 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 Daniel A. Good more than expected).
Fields of papers citing papers by Daniel A. Good
This network shows the impact of papers produced by Daniel 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 Daniel A. Good. The network helps show where Daniel A. Good may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel A. Good, 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 | 2009 | 176 | |
| 2 | 2010 | 79 | |
| 3 | 2009 | 51 | |
| 4 | 2013 | 28 | |
| 5 | 2010 | 26 | |
| 6 | 2015 | 7 | |
| 7 | 2010 | 2 |
About Daniel A. Good
Daniel A. Good is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Applied Psychology and General Decision Sciences, having authored 7 papers that have together received 369 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (3 papers), Decision-Making and Behavioral Economics (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Eating Disorders and Behaviors (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Mental Health Research Topics (1 paper), Sleep and related disorders (1 paper) and Optimism, Hope, and Well-being (1 paper). The work is most often cited by research in Cognitive Neuroscience (212 citations), Experimental and Cognitive Psychology (135 citations), Clinical Psychology (193 citations), General Decision Sciences (10 citations) and Applied Psychology (23 citations). Daniel A. Good has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael J. Larson, Scott A. Baldwin, Eric A. Storch, Mirela A. Aldea, Tanya K. Murphy, Arjan Berkeljon, Dean McKay, Tricia L. Merkley, William M. Perlstein and Erin D. Bigler. Their work appears in journals such as Psychophysiology, Journal of Addiction Medicine, Journal of the International Neuropsychological Society, Clinical Psychology Review and Biological Psychology.
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.