J. Eric Schmitt
Impact in
- Developmental Neuroscience top 0.5%
- Williams Syndrome Research
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies
Papers in
-
- Williams Syndrome Research 11
- Co-authors
- Allan L. ReissStéphan EliezMichael C. NealeKenneth S. KendlerJay N. GieddUrsula BellugiSteven H. AggenChristopher D. White
- Journals
- American Journal of Neuroradiology (7 papers)NeuroImage (6 papers)Human Brain Mapping (6 papers)Biological Psychiatry (5 papers)Cerebral Cortex (5 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
J. Eric Schmitt
115 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 153
- Developmental Neuroscience 700
- Cognitive Neuroscience 1.7k
- Radiology, Nuclear Medicine and Imaging 980
- Experimental and Cognitive Psychology 543
- Psychiatry and Mental health 534
Countries citing papers authored by J. Eric Schmitt
This map shows the geographic impact of J. Eric Schmitt'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 J. Eric Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Eric Schmitt more than expected).
Fields of papers citing papers by J. Eric Schmitt
This network shows the impact of papers produced by J. Eric Schmitt. 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 J. Eric Schmitt. The network helps show where J. Eric Schmitt may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Eric Schmitt, 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 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 10 | |
| 14 | 2015 | 38 | |
| 15 | 2013 | 9 | |
| 16 | 2005 | 8 | |
| 17 | 2005 | 7 | |
| 18 | 2001 | 6 | |
| 19 | 2001 | 64 | |
| 20 | Factors influencing competence and possibilities of supporting competence at old age. | 1999 | 3 |
About J. Eric Schmitt
J. Eric Schmitt is a scholar working on Neuropsychology and Physiological Psychology, Developmental Neuroscience, Experimental and Cognitive Psychology, Cognitive Neuroscience and Critical Care and Intensive Care Medicine, having authored 119 papers that have together received 5.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Congenital heart defects research (21 papers), Cognitive Abilities and Testing (14 papers), Genetic Associations and Epidemiology (12 papers), Williams Syndrome Research (11 papers), Coronary Artery Anomalies (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Genetics and Neurodevelopmental Disorders (9 papers). The work is most often cited by research in Developmental Neuroscience (700 citations), Cognitive Neuroscience (1.7k citations), Radiology, Nuclear Medicine and Imaging (980 citations), Experimental and Cognitive Psychology (543 citations) and Psychiatry and Mental health (534 citations). J. Eric Schmitt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Allan L. Reiss, Stéphan Eliez, Michael C. Neale, Kenneth S. Kendler, Jay N. Giedd, Ursula Bellugi, Steven H. Aggen, Christopher D. White, Carol A. Prescott and Joseph D. Pinter. Their work appears in journals such as American Journal of Neuroradiology, NeuroImage, Human Brain Mapping, Biological Psychiatry and Cerebral Cortex.
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.