Eric D. Marsh
- Psychiatry and Mental health top 0.5%
- Epilepsy research and treatment 48
- Cognitive Neuroscience top 1%
- Autism Spectrum Disorder Research 44
- EEG and Brain-Computer Interfaces 20
- Neural dynamics and brain function 13
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- Neuroscience and Neuropharmacology Research 25
- Pharmacology top 0.5%
- Genetics top 1%
- Genetics and Neurodevelopmental Disorders 86
- Genomic variations and chromosomal abnormalities 13
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- Family and Disability Support Research 21
- Co-authors
- Orrin DevinskyLinda LauxElizabeth A. ThieleIan MillerJ. Helen CrossStephen WrightIngrid E. SchefferRima Nabbout
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Eric D. Marsh
152 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Psychiatry and Mental health 2.0k
- Cognitive Neuroscience 1.7k
- Cellular and Molecular Neuroscience 1.5k
- Pharmacology 1.2k
- Genetics 1.8k
Countries citing papers authored by Eric D. Marsh
This map shows the geographic impact of Eric D. Marsh'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 Eric D. Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Marsh more than expected).
Fields of papers citing papers by Eric D. Marsh
This network shows the impact of papers produced by Eric D. Marsh. 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 Eric D. Marsh. The network helps show where Eric D. Marsh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric D. Marsh, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 23 | |
| 19 | 2015 | 30 | |
| 20 | Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG. | 2007 | 12 |
About Eric D. Marsh
Eric D. Marsh is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Genetics, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 165 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (86 papers), Epilepsy research and treatment (48 papers), Autism Spectrum Disorder Research (44 papers), Neuroscience and Neuropharmacology Research (25 papers), Family and Disability Support Research (21 papers), EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (13 papers) and Genomic variations and chromosomal abnormalities (13 papers). The work is most often cited by research in Psychiatry and Mental health (2.0k citations), Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (1.5k citations), Pharmacology (1.2k citations) and Genetics (1.8k citations). Eric D. Marsh has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Orrin Devinsky, Linda Laux, Elizabeth A. Thiele, Ian Miller, J. Helen Cross, Stephen Wright, Ingrid E. Scheffer, Rima Nabbout, D. G. Sale and Alan J. McComas. Their work appears in journals such as Epilepsia, Epilepsy Research, Neurology, Brain and Journal of Neurodevelopmental Disorders.
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.