Daniel A. Good

488 citations
7 papers · 383 · h-index 6

Impact in

    • Neural and Behavioral Psychology Studies
    • Autism Spectrum Disorder Research
    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Obsessive-Compulsive Spectrum Disorders
    • Eating Disorders and Behaviors
    • Body Image and Dysmorphia Studies

Papers in

Daniel A. Good

7 papers receiving 375 citations

Peers

Daniel A. Good
Comparison fields: 5 of 51
  • Cognitive Neuroscience 200
  • Clinical Psychology 184
  • Experimental and Cognitive Psychology 117
  • General Decision Sciences 10
  • Applied Psychology 21
Replace Sharon Niv with:
Sharon Niv United States
Achala H. Rodrigo Canada
Merav H. Silverman United States
Pedro Marset Spain
Raoul Dieterich Germany
Licheng Mo China
Alexander A. Jendrusina United States
A. Hunter Threadgill United States
Margot A. Schel Netherlands
Marieke B.J. Toffolo Netherlands
Daniel A. Good relative to Sharon Niv United States Sharon Niv's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Good

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel A. Good Line = papers co-authored together Daniel A. Good links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Daniel A. Good

Daniel A. Good is a scholar working on Cognitive Neuroscience, Clinical Psychology, Experimental and Cognitive Psychology, Applied Psychology and General Decision Sciences, having authored 7 papers that have together received 383 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Decision-Making and Behavioral Economics (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Eating Disorders and Behaviors (2 papers), Autism Spectrum Disorder Research (1 paper), Behavioral Health and Interventions (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Cognitive Neuroscience (200 citations), Clinical Psychology (184 citations), Experimental and Cognitive Psychology (117 citations), General Decision Sciences (10 citations) and Applied Psychology (21 citations). Daniel A. Good has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael J. Larson, Scott A. Baldwin, Dean McKay, Mirela A. Aldea, Arjan Berkeljon, Tanya K. Murphy, Eric A. Storch, William M. Perlstein, Tricia L. Merkley and Erin D. Bigler. Their work appears in journals such as Psychophysiology, Journal of the International Neuropsychological Society, Biological Psychology, Clinical Psychology Review and Journal of Addiction Medicine.

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.

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