Maya L. Rosen
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 10
- Clinical Psychology top 2%
- Child and Adolescent Psychosocial and Emotional Development 17
- Child Abuse and Trauma 11
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 13
- Visual perception and processing mechanisms 11
- Neural and Behavioral Psychology Studies 11
- Neural dynamics and brain function 9
- Biological Psychiatry top 10%
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- Early Childhood Education and Development 8
- Co-authors
- Katie A. McLaughlinMargaret A. SheridanAndrew N. MeltzoffKelly SambrookNatalie L. ColichEileen WilliamsDavid C. SomersJessica L. Jenness
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Maya L. Rosen
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Behavioral Neuroscience 248
- Clinical Psychology 820
- Cognitive Neuroscience 574
- Experimental and Cognitive Psychology 342
- Biological Psychiatry 32
Countries citing papers authored by Maya L. Rosen
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
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
The 25 scholars most cited alongside Maya L. Rosen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 22 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 101 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 130 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 119 | |
| 16 | 2017 | 12 | |
| 17 | 2017 | 56 | |
| 18 | 2015 | 66 | |
| 19 | Functional correlates of optic flow motion processing in Parkinson’s disease. | 2014 | 5 |
| 20 | 2014 | 13 |
About Maya L. Rosen
Maya L. Rosen is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Clinical Psychology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (17 papers), Functional Brain Connectivity Studies (13 papers), Visual perception and processing mechanisms (11 papers), Child Abuse and Trauma (11 papers), Neural and Behavioral Psychology Studies (11 papers), Stress Responses and Cortisol (10 papers), Neural dynamics and brain function (9 papers) and Early Childhood Education and Development (8 papers). The work is most often cited by research in Behavioral Neuroscience (248 citations), Clinical Psychology (820 citations) and Cognitive Neuroscience (574 citations). Maya L. Rosen has collaborated with scholars based in United States, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Neuron, Journal of Neuroscience and Psychological Bulletin.
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.