Manjari Narayan
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
Papers in
-
- Functional Brain Connectivity Studies 8
-
- Mental Health Research Topics 4
- Co-authors
- Wei Wu (3 shared papers)Amit Etkin (3 shared papers)Genevera I. Allen (5 shared papers)Corey J. Keller (1 shared paper)David M. Eagleman (1 shared paper)Arian Maleki (2 shared papers)Russell Toll (2 shared papers)Richard G. Baraniuk (2 shared papers)
- Journals
- Frontiers in Neuroscience (2 papers)Developmental Cognitive Neuroscience (1 paper)American Journal of Psychiatry (1 paper)Journal of Neuroscience (1 paper)Brain stimulation (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Manjari Narayan
14 papers receiving 249 citations
Peers
Comparison fields: 5 of 54
- Neurology 78
- Cognitive Neuroscience 163
- Computational Mathematics 2
- Experimental and Cognitive Psychology 42
- Sensory Systems 14
Countries citing papers authored by Manjari Narayan
This map shows the geographic impact of Manjari Narayan'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 Manjari Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjari Narayan more than expected).
Fields of papers citing papers by Manjari Narayan
This network shows the impact of papers produced by Manjari Narayan. 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 Manjari Narayan. The network helps show where Manjari Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Manjari Narayan, 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 | 93 | |
| 2 | 2019 | 39 | |
| 3 | 2015 | 26 | |
| 4 | 2013 | 23 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2012 | 11 | |
| 8 | 2024 | 7 | |
| 9 | 2017 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2011 | 2 |
About Manjari Narayan
Manjari Narayan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 14 papers that have together received 251 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Image Fusion Techniques (2 papers), Mathematical Analysis and Transform Methods (2 papers), Advanced MRI Techniques and Applications (2 papers) and Health, Environment, Cognitive Aging (2 papers). The work is most often cited by research in Neurology (78 citations), Cognitive Neuroscience (163 citations), Computational Mathematics (2 citations), Experimental and Cognitive Psychology (42 citations) and Sensory Systems (14 citations). Manjari Narayan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Wu, Amit Etkin, Genevera I. Allen, Corey J. Keller, David M. Eagleman, Arian Maleki, Russell Toll, Richard G. Baraniuk, Carlo de los Angeles and Parker Longwell. Their work appears in journals such as Frontiers in Neuroscience, Developmental Cognitive Neuroscience, American Journal of Psychiatry, Journal of Neuroscience and Brain stimulation.
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.