Sarah E. Goodale

402 citations
19 papers · 253 · h-index 7

Impact in

Papers in

Sarah E. Goodale

17 papers receiving 250 citations

Peers

Sarah E. Goodale
Comparison fields: 5 of 41
  • Cognitive Neuroscience 173
  • Psychiatry and Mental health 72
  • Radiology, Nuclear Medicine and Imaging 45
  • Cellular and Molecular Neuroscience 27
  • Neurology 18
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Samia Elkommos United Kingdom
Alicia C. Williams United States
Bárbara Avelar‐Pereira Sweden
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Joanne Kenney Ireland
Brady J. Williamson United States
Daniel W. Shrey United States
Hanneke E. Ronner Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Sarah E. Goodale

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Goodale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Goodale. 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 Sarah E. Goodale. The network helps show where Sarah E. Goodale may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202058
2 201938
3 201938
4 202130
5 201929
6 201817
7 201916
8 20246
9 20235
10 20224
11 20182
12 20232
13 20252
14 20192
15 20222
16 20251
17 20191
18 20250
19 20250

About Sarah E. Goodale

Sarah E. Goodale is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Radiation and Computational Mechanics, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (4 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Sparse and Compressive Sensing Techniques (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (173 citations), Psychiatry and Mental health (72 citations), Radiology, Nuclear Medicine and Imaging (45 citations), Cellular and Molecular Neuroscience (27 citations) and Neurology (18 citations). Sarah E. Goodale has collaborated with scholars based in United States, Singapore and Türkiye. Frequent co-authors include Victoria L. Morgan, Dario J. Englot, Hernán F. J. González, Benoît M. Dawant, Kanupriya Gupta, Baxter P. Rogers, Graham W. Johnson, John D. Rolston, Kevin F. Haas and Srijata Chakravorti. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Journal of Neurology Neurosurgery & Psychiatry, Epilepsia and Magnetic Resonance Imaging.

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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