Prejaas Tewarie
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 54
- Neural dynamics and brain function 39
- EEG and Brain-Computer Interfaces 16
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- Multiple Sclerosis Research Studies 25
- Ophthalmology top 1%
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- Advanced Neuroimaging Techniques and Applications 20
- Advanced MRI Techniques and Applications 13
- Neurology top 5%
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- Mental Health Research Topics 6
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- Complex Network Analysis Techniques 5
- Co-authors
- Arjan HillebrandCornelis J. StamMatthew J. BrookesEdwin van DellenLisanne J. BalkPiet Van MieghemFrederik BarkhofMark W. Woolrich
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)NeuroImage (17 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Prejaas Tewarie
82 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cognitive Neuroscience 3.0k
- Pathology and Forensic Medicine 1.1k
- Ophthalmology 497
- Radiology, Nuclear Medicine and Imaging 1.1k
- Neurology 247
Countries citing papers authored by Prejaas Tewarie
This map shows the geographic impact of Prejaas Tewarie'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 Prejaas Tewarie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prejaas Tewarie more than expected).
Fields of papers citing papers by Prejaas Tewarie
This network shows the impact of papers produced by Prejaas Tewarie. 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 Prejaas Tewarie. The network helps show where Prejaas Tewarie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prejaas Tewarie, 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 | 2024 | 5 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 22 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 106 | |
| 10 | 2016 | 135 | |
| 11 | 2015 | 17 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 115 | |
| 14 | 2015 | 27 | |
| 15 | 2014 | 252 | |
| 16 | 2013 | 112 | |
| 17 | 2013 | 16 | |
| 18 | 2013 | 37 | |
| 19 | The OSCAR-IB Consensus Criteria for Retinal OCT Quality Assessmentbreakdown → | 2012 | 430 |
| 20 | 2012 | 2 |
About Prejaas Tewarie
Prejaas Tewarie is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 83 papers that have together received 4.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (54 papers), Neural dynamics and brain function (39 papers), Multiple Sclerosis Research Studies (25 papers), Advanced Neuroimaging Techniques and Applications (20 papers), EEG and Brain-Computer Interfaces (16 papers), Advanced MRI Techniques and Applications (13 papers), Mental Health Research Topics (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Pathology and Forensic Medicine (1.1k citations) and Ophthalmology (497 citations). Prejaas Tewarie has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Arjan Hillebrand, Cornelis J. Stam, Matthew J. Brookes, Edwin van Dellen, Lisanne J. Balk, Piet Van Mieghem, Frederik Barkhof, Mark W. Woolrich, Axel Petzold and Bernard M.J. Uitdehaag. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.