Chris DeVita
Impact in
- Cognitive Neuroscience top 5%
- Neurobiology of Language and Bilingualism
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
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- Reading and Literacy Development
- Child and Animal Learning Development
Papers in
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- Neurobiology of Language and Bilingualism 8
- Neural and Behavioral Psychology Studies 5
- Memory and Neural Mechanisms 1
- Memory Processes and Influences 1
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- Reading and Literacy Development 3
- Child and Animal Learning Development 2
- Co-authors
- Murray Grossman (9 shared papers)James C. Gee (5 shared papers)David C. Alsop (5 shared papers)Phyllis Koenig (6 shared papers)Guila Glosser (6 shared papers)John A. Detre (5 shared papers)Peachie Moore (6 shared papers)Corey T. McMillan (3 shared papers)
- Journals
- NeuroImage (4 papers)Brain and Language (1 paper)Cognitive Brain Research (1 paper)Human Brain Mapping (1 paper)Neuropsychology (1 paper)
- Partner nations
- United States
In The Last Decade
Chris DeVita
9 papers receiving 615 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 562
- Developmental and Educational Psychology 200
- Experimental and Cognitive Psychology 125
- Social Psychology 168
- Psychiatry and Mental health 90
Countries citing papers authored by Chris DeVita
This map shows the geographic impact of Chris DeVita'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 Chris DeVita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris DeVita more than expected).
Fields of papers citing papers by Chris DeVita
This network shows the impact of papers produced by Chris DeVita. 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 Chris DeVita. The network helps show where Chris DeVita may publish in the future.
Co-authors
The 11 scholars most cited alongside Chris DeVita, 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 | 2002 | 138 | |
| 2 | 2002 | 109 | |
| 3 | 2002 | 102 | |
| 4 | 2001 | 89 | |
| 5 | 2004 | 75 | |
| 6 | 2002 | 50 | |
| 7 | 2003 | 32 | |
| 8 | 2004 | 25 | |
| 9 | 2003 | 13 |
About Chris DeVita
Chris DeVita is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Social Psychology, Psychiatry and Mental health and Infectious Diseases, having authored 9 papers that have together received 633 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (8 papers), Neural and Behavioral Psychology Studies (5 papers), Action Observation and Synchronization (3 papers), Reading and Literacy Development (3 papers), Dementia and Cognitive Impairment Research (2 papers), Child and Animal Learning Development (2 papers), Memory and Neural Mechanisms (1 paper) and Memory Processes and Influences (1 paper). The work is most often cited by research in Cognitive Neuroscience (562 citations), Developmental and Educational Psychology (200 citations), Experimental and Cognitive Psychology (125 citations), Social Psychology (168 citations) and Psychiatry and Mental health (90 citations). Chris DeVita has collaborated with scholars based in United States. Frequent co-authors include Murray Grossman, James C. Gee, David C. Alsop, Phyllis Koenig, Guila Glosser, John A. Detre, Peachie Moore, Corey T. McMillan, Ayanna Cooke and Edward E. Smith. Their work appears in journals such as NeuroImage, Brain and Language, Cognitive Brain Research, Human Brain Mapping and Neuropsychology.
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.