Daniel S. Barron

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

Impact in

Papers in

Daniel S. Barron

37 papers receiving 1.2k citations

Peers

Daniel S. Barron
Comparison fields: 5 of 105
  • Cognitive Neuroscience 735
  • Experimental and Cognitive Psychology 212
  • Psychiatry and Mental health 180
  • Radiology, Nuclear Medicine and Imaging 210
  • Neurology 98
Replace Kathrine Skak Madsen with:
Kathrine Skak Madsen Denmark
Azeez Ayodeji Adebimpe United States
Dennis Hernaus Netherlands
Ottavia Dipasquale United Kingdom
Ozlem Korucuoglu Netherlands
Timothy Hendrickson United States
Marcel Daamen Germany
Marion Delarue France
Wes S. Houston United States
Rune Jonassen Norway
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Citations per field
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Kathrine Skak Madsen · 1×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019278
2 2022105
3 2015100
4 201491
5 201577
6 201869
7 202066
8 201264
9 201464
10 201948
11 201544
12 202043
13 201441
14 202041
15 201040
16 202111
17 20188
18 20106
19 20215
20 20175

About Daniel S. Barron

Daniel S. Barron is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Pharmacology and Toxicology, having authored 40 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), Advanced MRI Techniques and Applications (4 papers), Mental Health Research Topics (4 papers), Neural dynamics and brain function (3 papers), Health, Environment, Cognitive Aging (3 papers), Mental Health and Psychiatry (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cognitive Neuroscience (735 citations), Experimental and Cognitive Psychology (212 citations), Psychiatry and Mental health (180 citations), Radiology, Nuclear Medicine and Imaging (210 citations) and Neurology (98 citations). Daniel S. Barron has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Peter T. Fox, Robert Todd Constable, Dustin Scheinost, Simon Bodo Eickhoff, Abigail S. Greene, Stephanie M. Noble, Mehraveh Salehi, P. Mickle Fox, Corey L. Horien and Xilin Shen. Their work appears in journals such as NeuroImage Clinical, Human Brain Mapping, NeuroImage, Journal of the International Neuropsychological Society and Emergency Medicine Journal.

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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