Danielle Perszyk
Impact in
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- Child and Animal Learning Development
- Language Development and Disorders
- Hearing Impairment and Communication
- Behavioral and Psychological Studies
- Developmental Biology top 10%
Papers in
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- Child and Animal Learning Development 7
- Language Development and Disorders 5
- Behavioral and Psychological Studies 1
- Pharmacy 6
- Infant Health and Development 6
- Co-authors
- Sandra R. Waxman (8 shared papers)James C. McPartland (3 shared papers)Linda C. Mayes (2 shared papers)Ryan F. Lei (1 shared paper)Jennifer A. Richeson (1 shared paper)Galen V. Bodenhausen (1 shared paper)Adam Naples (2 shared papers)Cora Mukerji (2 shared papers)
- Journals
- Developmental Science (3 papers)Scientific Reports (1 paper)Developmental Cognitive Neuroscience (1 paper)Journal of Neurodevelopmental Disorders (1 paper)Annual Review of Psychology (1 paper)
- Partner nations
- United StatesGermanyPhilippines
In The Last Decade
Danielle Perszyk
11 papers receiving 240 citations
Peers
Comparison fields: 5 of 41
- Developmental and Educational Psychology 121
- Developmental Biology 16
- Cognitive Neuroscience 98
- Pharmacy 24
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Danielle Perszyk
This map shows the geographic impact of Danielle Perszyk'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 Danielle Perszyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Perszyk more than expected).
Fields of papers citing papers by Danielle Perszyk
This network shows the impact of papers produced by Danielle Perszyk. 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 Danielle Perszyk. The network helps show where Danielle Perszyk may publish in the future.
Co-authors
The 20 scholars most cited alongside Danielle Perszyk, 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 | 2017 | 55 | |
| 2 | 2019 | 45 | |
| 3 | 2011 | 38 | |
| 4 | 2012 | 31 | |
| 5 | 2010 | 25 | |
| 6 | 2016 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2021 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2017 | 1 |
About Danielle Perszyk
Danielle Perszyk is a scholar working on Developmental and Educational Psychology, Pharmacy, Social Psychology, Developmental Biology and Cognitive Neuroscience, having authored 11 papers that have together received 252 indexed citations. Recurring topics across this work include Child and Animal Learning Development (7 papers), Infant Health and Development (6 papers), Language Development and Disorders (5 papers), Animal Vocal Communication and Behavior (2 papers), Behavioral and Psychological Studies (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Multisensory perception and integration (1 paper) and Social and Intergroup Psychology (1 paper). The work is most often cited by research in Developmental and Educational Psychology (121 citations), Developmental Biology (16 citations), Cognitive Neuroscience (98 citations), Pharmacy (24 citations) and Experimental and Cognitive Psychology (42 citations). Danielle Perszyk has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Sandra R. Waxman, James C. McPartland, Linda C. Mayes, Ryan F. Lei, Jennifer A. Richeson, Galen V. Bodenhausen, Adam Naples, Cora Mukerji, Jia Wu and Michael J. Crowley. Their work appears in journals such as Developmental Science, Scientific Reports, Developmental Cognitive Neuroscience, Journal of Neurodevelopmental Disorders and Annual Review of Psychology.
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.