Aashit Shah
Impact in
- Psychiatry and Mental health top 0.5%
- Epilepsy research and treatment
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Epilepsy research and treatment 59
-
- EEG and Brain-Computer Interfaces 26
- Neural dynamics and brain function 10
- Co-authors
- Harry T. ChuganiEishi AsanoJagdish ShahCsaba JuhászOtto MuzikSandeep SoodDiane C. ChuganiCraig Watson
- Journals
- Epilepsia (14 papers)Neurology (11 papers)Journal of the Neurological Sciences (10 papers)Clinical Neurophysiology (9 papers)Epilepsy Research (6 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Aashit Shah
100 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 124
- Psychiatry and Mental health 1.9k
- Cognitive Neuroscience 1.2k
- Cellular and Molecular Neuroscience 1.1k
- Pediatrics, Perinatology and Child Health 798
- Neurology 406
Countries citing papers authored by Aashit Shah
This map shows the geographic impact of Aashit Shah'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 Aashit Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aashit Shah more than expected).
Fields of papers citing papers by Aashit Shah
This network shows the impact of papers produced by Aashit Shah. 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 Aashit Shah. The network helps show where Aashit Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Aashit Shah, 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 | 2021 | 0 | |
| 2 | 2019 | 1 | |
| 3 | 2018 | 21 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 11 | |
| 7 | 2015 | 13 | |
| 8 | Fast Detection of Brain Disorders using EEG Signal | 2014 | 1 |
| 9 | 2013 | 9 | |
| 10 | 2012 | 49 | |
| 11 | 2011 | 79 | |
| 12 | 2011 | 19 | |
| 13 | 2008 | 52 | |
| 14 | 2007 | 63 | |
| 15 | 2005 | 126 | |
| 16 | 2005 | 80 | |
| 17 | 2003 | 90 | |
| 18 | 2003 | 171 | |
| 19 | 1999 | 10 | |
| 20 | 1995 | 13 |
About Aashit Shah
Aashit Shah is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Neurology, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Epilepsy research and treatment (59 papers), Neuroscience and Neuropharmacology Research (30 papers), EEG and Brain-Computer Interfaces (26 papers), Pharmacological Effects and Toxicity Studies (21 papers), Neural dynamics and brain function (10 papers), Neonatal and fetal brain pathology (7 papers), Advanced MRI Techniques and Applications (6 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Psychiatry and Mental health (1.9k citations), Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (1.1k citations), Pediatrics, Perinatology and Child Health (798 citations) and Neurology (406 citations). Aashit Shah has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Harry T. Chugani, Eishi Asano, Jagdish Shah, Csaba Juhász, Otto Muzik, Sandeep Sood, Diane C. Chugani, Craig Watson, Sandeep Mittal and Darren R. Fuerst. Their work appears in journals such as Epilepsia, Neurology, Journal of the Neurological Sciences, Clinical Neurophysiology and Epilepsy Research.
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.