Rachel K. Greene
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research 16
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- Behavioral and Psychological Studies 3
- Psychiatry and Mental health top 10%
- Attention Deficit Hyperactivity Disorder 3
- Clinical Psychology top 10%
- Obsessive-Compulsive Spectrum Disorders 4
- Family and Disability Support Research 4
- Child and Adolescent Psychosocial and Emotional Development 3
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- Genetics and Neurodevelopmental Disorders 3
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- Child Development and Digital Technology 3
- Co-authors
- Matthew W. MosconiDavid E. VaillancourtGabriel S. DichterMaya G. MosnerJessica L. KinardJohn A. SweeneyEdwin H. CookErin C. Walsh
- Journals
- Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Rachel K. Greene
23 papers receiving 510 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 376
- Developmental and Educational Psychology 110
- Psychiatry and Mental health 128
- Clinical Psychology 123
- Genetics 104
Countries citing papers authored by Rachel K. Greene
This map shows the geographic impact of Rachel K. Greene'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 Rachel K. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel K. Greene more than expected).
Fields of papers citing papers by Rachel K. Greene
This network shows the impact of papers produced by Rachel K. Greene. 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 Rachel K. Greene. The network helps show where Rachel K. Greene may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel K. Greene, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 40 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 24 | |
| 15 | 2019 | 47 | |
| 16 | 2018 | 37 | |
| 17 | 2018 | 21 | |
| 18 | 2018 | 7 | |
| 19 | 2017 | 28 | |
| 20 | 2015 | 109 |
About Rachel K. Greene
Rachel K. Greene is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health, having authored 26 papers that have together received 513 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (16 papers), Obsessive-Compulsive Spectrum Disorders (4 papers), Family and Disability Support Research (4 papers), Attention Deficit Hyperactivity Disorder (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Behavioral and Psychological Studies (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (376 citations), Developmental and Educational Psychology (110 citations) and Psychiatry and Mental health (128 citations). Rachel K. Greene has collaborated with scholars based in United States and Australia. Frequent co-authors include Matthew W. Mosconi, David E. Vaillancourt, Gabriel S. Dichter, Maya G. Mosner, Jessica L. Kinard, John A. Sweeney, Edwin H. Cook, Erin C. Walsh, Zheng Wang and Stormi P. White. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Neurophysiology.
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.