Maya L. Rosen

2.7k total citations
53 papers, 1.8k citations indexed

About

Maya L. Rosen is a scholar working on Cognitive Neuroscience, Clinical Psychology and Behavioral Neuroscience. According to data from OpenAlex, Maya L. Rosen has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 20 papers in Clinical Psychology and 10 papers in Behavioral Neuroscience. Recurrent topics in Maya L. Rosen's work include Child and Adolescent Psychosocial and Emotional Development (17 papers), Functional Brain Connectivity Studies (13 papers) and Visual perception and processing mechanisms (11 papers). Maya L. Rosen is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (17 papers), Functional Brain Connectivity Studies (13 papers) and Visual perception and processing mechanisms (11 papers). Maya L. Rosen collaborates with scholars based in United States, Australia and United Kingdom. Maya L. Rosen's co-authors include Katie A. McLaughlin, Margaret A. Sheridan, Andrew N. Meltzoff, Kelly Sambrook, Natalie L. Colich, Eileen Williams, David C. Somers, Jessica L. Jenness, Meg Dennison and Samantha Michalka and has published in prestigious journals such as Neuron, Journal of Neuroscience and Psychological Bulletin.

In The Last Decade

Maya L. Rosen

48 papers receiving 1.8k citations

Peers

Maya L. Rosen
Comparison fields: 5 of 114
  • Clinical Psychology 820
  • Cognitive Neuroscience 574
  • Experimental and Cognitive Psychology 342
  • Education 286
  • Behavioral Neuroscience 248
Replace Meg Dennison with:
Meg Dennison Australia
Michael S. Gaffrey United States
Erika J. Ruberry United States
Matthew D. Albaugh United States
Hilary K. Lambert United States
David Pagliaccio United States
Jennifer M. McDermott United States
Emily C. Merz United States
Eve G. Spratt United States
Pedro Mário Pan Brazil
Meg Dennison Australia View profile →
Citations per field, relative to Maya L. Rosen
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Citations per year, relative to Maya L. Rosen
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Countries citing papers authored by Maya L. Rosen

Since Specialization
Citations

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

Fields of papers citing papers by Maya L. Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya L. Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of Maya L. Rosen. A scholar is included among the top collaborators of Maya L. Rosen 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 Maya L. Rosen. Maya L. Rosen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 22
3 0
4 7
5 2
6 0
7 25
8 17
9 11
10 101
11 22
12 130
13 31
14 21
15 119
16 12
17 56
18 66
19
Functional correlates of optic flow motion processing in Parkinson’s disease.
5
20 13

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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