Matthew Erhart

1.1k total citations
9 papers, 201 citations indexed

About

Matthew Erhart is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Developmental and Educational Psychology. According to data from OpenAlex, Matthew Erhart has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Developmental and Educational Psychology. Recurrent topics in Matthew Erhart's work include Language Development and Disorders (3 papers), Advanced MRI Techniques and Applications (3 papers) and Autism Spectrum Disorder Research (3 papers). Matthew Erhart is often cited by papers focused on Language Development and Disorders (3 papers), Advanced MRI Techniques and Applications (3 papers) and Autism Spectrum Disorder Research (3 papers). Matthew Erhart collaborates with scholars based in United States and France. Matthew Erhart's co-authors include Timothy T. Brown, Anders M. Dale, Dan Rettmann, Joshua Kuperman, Eric Han, J. Cooper Roddey, Nathan S. White, Ajit Shankaranarayanan, Eric Halgren and Mazyar Ahmadi Golsefidi and has published in prestigious journals such as NeuroImage, Neuropsychologia and Clinical Neurophysiology.

In The Last Decade

Matthew Erhart

8 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Erhart United States 6 117 102 46 23 21 9 201
Qinlin Yu China 8 132 1.1× 142 1.4× 129 2.8× 7 0.3× 10 0.5× 10 286
John Dell United States 9 81 0.7× 266 2.6× 62 1.3× 67 2.9× 55 2.6× 10 323
Natasa Mateljevic United States 5 62 0.5× 82 0.8× 33 0.7× 4 0.2× 17 0.8× 5 144
Juanita Ramirez United States 4 71 0.6× 190 1.9× 116 2.5× 18 0.8× 9 0.4× 6 275
Ralica Dimitrova United Kingdom 10 94 0.8× 135 1.3× 158 3.4× 6 0.3× 28 1.3× 16 342
Mahshid Farzinfar United States 5 213 1.8× 103 1.0× 97 2.1× 14 0.6× 22 1.0× 9 285
Lisa Bruckert United States 9 97 0.8× 56 0.5× 103 2.2× 46 2.0× 33 1.6× 23 221
Anne Elisabeth Sølsnes Norway 7 33 0.3× 93 0.9× 162 3.5× 14 0.6× 30 1.4× 9 251
Nikolay Balov United States 5 191 1.6× 202 2.0× 55 1.2× 9 0.4× 36 1.7× 8 328
Dominick T. Newell United States 6 87 0.7× 89 0.9× 26 0.6× 7 0.3× 42 2.0× 11 173

Countries citing papers authored by Matthew Erhart

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Erhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Erhart

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Erhart. A scholar is included among the top collaborators of Matthew Erhart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Erhart. Matthew Erhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Ng, Rowena, Timothy T. Brown, Anna Järvinen, et al.. (2015). Structural integrity of the limbic–prefrontal connection: Neuropathological correlates of anxiety in Williams syndrome. Social Neuroscience. 11(2). 187–192. 5 indexed citations
3.
Ng, Rowena, Timothy T. Brown, Matthew Erhart, et al.. (2015). Morphological differences in the mirror neuron system in Williams syndrome. Social Neuroscience. 11(3). 277–288. 8 indexed citations
4.
Irimia, Andrei, Matthew Erhart, & Timothy T. Brown. (2014). Variability of magnetoencephalographic sensor sensitivity measures as a function of age, brain volume and cortical area. Clinical Neurophysiology. 125(10). 1973–1984. 6 indexed citations
5.
Brown, Timothy T., Matthew Erhart, Daniel Avesar, et al.. (2014). Atypical Right Hemisphere Specialization for Object Representations in an Adolescent with Specific Language Impairment. Frontiers in Human Neuroscience. 8. 82–82. 10 indexed citations
6.
Mills, Brian D., Timothy T. Brown, Matthew Erhart, et al.. (2013). White matter microstructure correlates of narrative production in typically developing children and children with high functioning autism. Neuropsychologia. 51(10). 1933–1941. 24 indexed citations
7.
Mills, Brian D., Timothy T. Brown, Matthew Erhart, et al.. (2013). Gray Matter Structure and Morphosyntax Within a Spoken Narrative in Typically Developing Children and Children With High Functioning Autism. Developmental Neuropsychology. 38(7). 461–480. 4 indexed citations
8.
Kuperman, Joshua, Timothy T. Brown, Mazyar Ahmadi Golsefidi, et al.. (2011). Prospective motion correction improves diagnostic utility of pediatric MRI scans. Pediatric Radiology. 41(12). 1578–1582. 43 indexed citations
9.
Brown, Timothy T., Joshua Kuperman, Matthew Erhart, et al.. (2010). Prospective motion correction of high-resolution magnetic resonance imaging data in children. NeuroImage. 53(1). 139–145. 101 indexed citations

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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