Daniel S. Barron

1.8k citations
39 papers · 1.2k · h-index 15

Impact in

Papers in

Daniel S. Barron

34 papers receiving 1.2k citations

Peers

Daniel S. Barron
Comparison fields: 5 of 106
  • Cognitive Neuroscience 700
  • Experimental and Cognitive Psychology 201
  • Psychiatry and Mental health 173
  • Radiology, Nuclear Medicine and Imaging 209
  • Neurology 93
Replace Andrea Escelsior with:
Andrea Escelsior Italy
Ottavia Dipasquale United Kingdom
Ricardo Magalhães Portugal
Valerie J. Sydnor United States
Jeremy A. Elman United States
Kathrine Skak Madsen Denmark
Wes S. Houston United States
Crystal Cooper United States
A. Fornito Australia
Xueling Suo China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Barron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019259
2 201599
3 201487
4 202284
5 201578
6 201867
7 201265
8 201463
9 202063
10 201944
11 201542
12 202042
13 201441
14 202041
15 201040
16 20218
17 20188
18 20106
19 20175
20 20084

About Daniel S. Barron

Daniel S. Barron is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Mental Health Research Topics (4 papers), Advanced MRI Techniques and Applications (4 papers), Mental Health and Psychiatry (3 papers), Neural dynamics and brain function (3 papers), Health, Environment, Cognitive Aging (3 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (700 citations), Experimental and Cognitive Psychology (201 citations), Psychiatry and Mental health (173 citations), Radiology, Nuclear Medicine and Imaging (209 citations) and Neurology (93 citations). Daniel S. Barron has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Peter T. Fox, R. Todd Constable, Dustin Scheinost, Simon B. Eickhoff, Mehraveh Salehi, P. Mickle Fox, Stephanie Noble, Abigail S. Greene, Corey Horien and Jack L. Lancaster. Their work appears in journals such as NeuroImage Clinical, Human Brain Mapping, Emergency Medicine Journal, Journal of the International Neuropsychological Society and NeuroImage.

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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