Maya Misra

2.0k citations
14 papers · 1.4k · h-index 11

Impact in

Papers in

Maya Misra

14 papers receiving 1.3k citations

Peers

Maya Misra
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 1.0k
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 225
  • Statistics and Probability 131
  • Language and Linguistics 128
Replace Anat Prior with:
Anat Prior Israel
Alessandro Laudanna Italy
Oliver Sawi United States
Taeko N. Wydell United Kingdom
Jakub Szewczyk Poland
Annabel S. C. Thorn United Kingdom
P.M. Lavorel France
Daniela Paolieri Spain
Jussi Niemi Finland
Stephanie F. Stokes Hong Kong
Maya Misra relative to Anat Prior Israel Anat Prior's profile →
Citations per field
00.5×3.2×
Anat Prior · 1×
Citations per year

Countries citing papers authored by Maya Misra

Since Specialization
Citations

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

Fields of papers citing papers by Maya Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Maya Misra, 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 Maya Misra Line = papers co-authored together Maya Misra links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008367
2 2011199
3 2012192
4 2003146
5 2004111
6 2003110
7 2005102
8 201256
9 200538
10 201334
11 201113
12 20156
13 20215
14 20225

About Maya Misra

Maya Misra is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Statistics and Probability, Experimental and Cognitive Psychology and Infectious Diseases, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reading and Literacy Development (14 papers), Neurobiology of Language and Bilingualism (12 papers), Language Development and Disorders (4 papers), Neural and Behavioral Psychology Studies (3 papers), Cognitive and developmental aspects of mathematical skills (2 papers), EEG and Brain-Computer Interfaces (2 papers), Memory Processes and Influences (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Developmental and Educational Psychology (1.0k citations), Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (225 citations), Statistics and Probability (131 citations) and Language and Linguistics (128 citations). Maya Misra has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Judith F. Kroll, Taomei Guo, Susan C. Bobb, Phillip J. Holcomb, Zvia Breznitz, Hongyan Liu, Russell A. Poldrack, Maryanne Wolf, Jonathan Grainger and Joyce Tam. Their work appears in journals such as International Journal of Language & Communication Disorders, NeuroImage, Neuroreport, Brain and Language and Scientific Studies of Reading.

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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