Daniel M. Stout

715 citations
29 papers · 452 · h-index 12

Impact in

Papers in

Daniel M. Stout

28 papers receiving 442 citations

Peers

Daniel M. Stout
Comparison fields: 5 of 58
  • Experimental and Cognitive Psychology 249
  • Behavioral Neuroscience 58
  • Cognitive Neuroscience 281
  • Clinical Psychology 125
  • Applied Psychology 20
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Kreshnik Burani United States
David Torrents‐Rodas Spain
Onno Kruse Germany
Marissa Krimsky United States
Jennifer K. Lenow United States
Juyoen Hur United States
Chuguang Wei China
Katharina Geier Germany
Stella Berboth Austria
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Stout

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Stout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Stout. 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 M. Stout. The network helps show where Daniel M. Stout may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 201475
3 201730
4 200928
5 201222
6 202122
7 201818
8 201717
9 201816
10 201816
11 201911
12 201811
13 201811
14 201910
15 20219
16 20087
17 20216
18 20196
19 20166
20 20235

About Daniel M. Stout

Daniel M. Stout is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Behavioral Neuroscience and Epidemiology, having authored 29 papers that have together received 452 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (12 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (11 papers), Memory and Neural Mechanisms (7 papers), Mental Health Research Topics (7 papers), Posttraumatic Stress Disorder Research (5 papers), Stress Responses and Cortisol (5 papers), Functional Brain Connectivity Studies (5 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (249 citations), Behavioral Neuroscience (58 citations), Cognitive Neuroscience (281 citations), Clinical Psychology (125 citations) and Applied Psychology (20 citations). Daniel M. Stout has collaborated with scholars based in United States. Frequent co-authors include Christine L. Larson, Alexander J. Shackman, Victoria B. Risbrough, Alan N. Simmons, Jeffrey S. Johnson, Paul D. Rokke, Dean T. Acheson, Tara A. Miskovich, Daniel E. Glenn and Jessica Bomyea. Their work appears in journals such as Behaviour Research and Therapy, Biological Psychology, Current topics in behavioral neurosciences, Emotion and Neurobiology of Stress.

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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