Casey Paquola

7.6k citations
57 papers · 3.1k indexed · 4 hit papers · h-index 29

Casey Paquola

56 papers receiving 3.1k citations

Hit Papers

BrainSpace: a toolbox for the analysis of macroscale grad...3252019202620212023100200300

Peers

Casey Paquola
Comparison fields: 5 of 114
  • Cognitive Neuroscience 2.5k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Experimental and Cognitive Psychology 402
  • Behavioral Neuroscience 81
  • Psychiatry and Mental health 327
Replace Prantik Kundu with:
Prantik Kundu United States
Richard A. I. Bethlehem United Kingdom
Ru Kong Singapore
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Casey Paquola relative to Prantik Kundu United States Prantik Kundu's profile →
Citations per field
00.5×3.5×
Prantik Kundu · 1×
Citations per year

Countries citing papers authored by Casey Paquola

Since Specialization
Citations

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

Fields of papers citing papers by Casey Paquola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 202320
4 202239
5 202235
6 202215
7 202259
8 202226
9 202249
10 202210
11 20216
12 20211
13 202153
14 202120
15 202140
16
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasetsbreakdown →
2020325
17 202037
18
Gradients of structure–function tethering across neocortexbreakdown →
2019291
19
Atypical functional connectome hierarchy in autismbreakdown →
2019301
20 201843

About Casey Paquola

Casey Paquola is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (43 papers), Advanced Neuroimaging Techniques and Applications (32 papers), Neural dynamics and brain function (21 papers), Advanced MRI Techniques and Applications (14 papers), Autism Spectrum Disorder Research (7 papers), Memory and Neural Mechanisms (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Attention Deficit Hyperactivity Disorder (2 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Experimental and Cognitive Psychology (402 citations). Casey Paquola has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Boris C. Bernhardt, Reinder Vos de Wael, Seok‐Jun Hong, Jonathan Smallwood, Sara Larivière, Daniel S. Margulies, Richard A. I. Bethlehem, Bratislav Mišić, Sofie L. Valk and Jim Lagopoulos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

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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