Darrell A. Worthy

60 papers receiving 1.4k citations

Peers

Darrell A. Worthy
Comparison fields: 5 of 116
  • General Decision Sciences 338
  • Applied Psychology 264
  • Neuropsychology and Physiological Psychology 69
  • Cognitive Neuroscience 628
  • Experimental and Cognitive Psychology 331
Replace Karolina M. Lempert with:
Karolina M. Lempert United States
Sam J. Maglio Canada
Nichole R. Lighthall United States
Vinod Venkatraman United States
A. Ross Otto Canada
G. Elliott Wimmer United States
Joseph Hilgard United States
Peter N. C. Mohr Germany
Paul Whitney United States
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Darrell A. Worthy relative to Karolina M. Lempert United States Karolina M. Lempert's profile →
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Citations per year

Countries citing papers authored by Darrell A. Worthy

Since Specialization
Citations

This map shows the geographic impact of Darrell A. Worthy'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 Darrell A. Worthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell A. Worthy more than expected).

Fields of papers citing papers by Darrell A. Worthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell A. Worthy. 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 Darrell A. Worthy. The network helps show where Darrell A. Worthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Darrell A. Worthy, 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 Darrell A. Worthy Line = papers co-authored together Darrell A. Worthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011117
2 2012107
3 201491
4 201474
5 201364
6 202063
7 201258
8 200750
9 201347
10 201942
11 201240
12 201439
13 201338
14 201535
15 201233
16 200929
17 201629
18 201528
19 201225
20 201324

About Darrell A. Worthy

Darrell A. Worthy is a scholar working on Cognitive Neuroscience, General Decision Sciences, Applied Psychology, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (31 papers), Decision-Making and Behavioral Economics (28 papers), Behavioral Health and Interventions (15 papers), Mental Health Research Topics (9 papers), Child and Animal Learning Development (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in General Decision Sciences (338 citations), Applied Psychology (264 citations), Neuropsychology and Physiological Psychology (69 citations), Cognitive Neuroscience (628 citations) and Experimental and Cognitive Psychology (331 citations). Darrell A. Worthy has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include W. Todd Maddox, Kaileigh A. Byrne, A. Ross Otto, Arthur B. Markman, Marissa A. Gorlick, Melissa J. Hawthorne, Bo Pang, David M. Schnyer, Jennifer Pacheco and Yangming Shi. Their work appears in journals such as Cognitive Affective & Behavioral Neuroscience, Psychonomic Bulletin & Review, Cognition, Personality and Individual Differences and Frontiers in 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.

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