Eric Earl

10.1k citations
41 papers · 1.2k · h-index 18

Impact in

Papers in

Eric Earl

38 papers receiving 1.2k citations

Peers

Eric Earl
Comparison fields: 5 of 115
  • Cognitive Neuroscience 504
  • Behavioral Neuroscience 61
  • Cancer Research 179
  • Radiology, Nuclear Medicine and Imaging 265
  • Experimental and Cognitive Psychology 131
Replace Yingxue Gao with:
Yingxue Gao China
Valeria Latorre Italy
Shi-Yu Zhou China
Michelle Zhang United States
Yang Zheng China
Hongjun Peng China
Peter Mulders Netherlands
Lisa Squassante Italy
Ying Hé China
Christina Antke Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eric Earl

Since Specialization
Citations

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

Fields of papers citing papers by Eric Earl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Earl. 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 Eric Earl. The network helps show where Eric Earl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014280
2 2017175
3 2018137
4 201378
5 202062
6 201745
7 202044
8 201639
9 201831
10 201828
11 202028
12 201824
13 201723
14 201822
15 201920
16 201818
17 201717
18 201917
19 201815
20
Deploying wide-scale in-home assessment technology
200814

About Eric Earl

Eric Earl is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Behavioral Neuroscience, Atomic and Molecular Physics, and Optics and Psychiatry and Mental health, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (19 papers), Advanced MRI Techniques and Applications (10 papers), Stress Responses and Cortisol (6 papers), Atomic and Subatomic Physics Research (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Attention Deficit Hyperactivity Disorder (4 papers), Neonatal and fetal brain pathology (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (504 citations), Behavioral Neuroscience (61 citations), Cancer Research (179 citations), Radiology, Nuclear Medicine and Imaging (265 citations) and Experimental and Cognitive Psychology (131 citations). Eric Earl has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Damien A. Fair, Óscar Miranda-Domínguez, Amy J. Hawkins, Ralph J. DeBerardinis, Robert A. Egnatchik, Lei Jiang, Jared Rutter, John C. Schell, Kristofor A. Olson and Jonathan G. Van Vranken. Their work appears in journals such as NeuroImage, Developmental Cognitive Neuroscience, Cerebral Cortex, Journal of Neuroscience and Translational Stroke Research.

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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