Tamara Vanderwal

2.6k citations
26 papers · 1.2k indexed · h-index 15

Impact in

Papers in

Tamara Vanderwal

23 papers receiving 1.2k citations

Peers

Tamara Vanderwal
Comparison fields: 5 of 67
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 272
  • Radiology, Nuclear Medicine and Imaging 278
  • Psychiatry and Mental health 130
  • Social Psychology 149
Replace Lauren M. DiNicola with:
Lauren M. DiNicola United States
Douglas H. Schultz United States
Juha M. Lahnakoski Germany
Lisa Byrge United States
Amanda V. Utevsky United States
Christine L. Cox United States
Hao-Ting Wang United Kingdom
Scott Marek United States
Shefali Brahmbhatt United States
Mariët van Buuren Netherlands
Tamara Vanderwal relative to Lauren M. DiNicola United States Lauren M. DiNicola's profile →
Citations per field
00.5×4.2×
Lauren M. DiNicola · 1×
Citations per year

Countries citing papers authored by Tamara Vanderwal

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Vanderwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20240
4 20240
5 20240
6 20241
7 202316
8 20235
9 202218
10 202210
11 202136
12 202068
13 202025
14 201934
15 201831
16 2018144
17 201768
18 20135
19 2008101
20 200518

About Tamara Vanderwal

Tamara Vanderwal is a scholar working on Cognitive Neuroscience, Biological Psychiatry, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (10 papers), Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Attention Deficit Hyperactivity Disorder (3 papers), Neural and Behavioral Psychology Studies (3 papers), Face Recognition and Perception (2 papers) and Infant Development and Preterm Care (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (272 citations), Radiology, Nuclear Medicine and Imaging (278 citations), Psychiatry and Mental health (130 citations) and Social Psychology (149 citations). Tamara Vanderwal has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey Eilbott, F. Xavier Castellanos, Mai Nguyen, Uri Hasson, Clare Kelly, Linda C. Mayes, Michael P. Milham, Emily S. Finn, R. Cameron Craddock and Adam Turnbull. Their work appears in journals such as NeuroImage, Frontiers in Human Neuroscience, Biological Psychiatry, Neuroscience & Biobehavioral Reviews and Brain stimulation.

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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