Noah Lewis
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Functional Brain Connectivity Studies 12
- Neural dynamics and brain function 7
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- Advanced Neuroimaging Techniques and Applications 4
- Co-authors
- Zening Fu (7 shared papers)Armin Iraji (9 shared papers)Vince D. Calhoun (14 shared papers)Ashkan Faghiri (4 shared papers)Srinivas Rachakonda (2 shared papers)Sergey Plis (6 shared papers)Jiayu Chen (2 shared papers)Md Abdur Rahaman (2 shared papers)
- Journals
- Human Brain Mapping (3 papers)Social Cognitive and Affective Neuroscience (1 paper)Brain and Behavior (1 paper)Cerebral Cortex (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Noah Lewis
16 papers receiving 199 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 131
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 64
- Experimental and Cognitive Psychology 22
- Computational Mathematics 1
Countries citing papers authored by Noah Lewis
This map shows the geographic impact of Noah Lewis'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 Noah Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Lewis more than expected).
Fields of papers citing papers by Noah Lewis
This network shows the impact of papers produced by Noah Lewis. 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 Noah Lewis. The network helps show where Noah Lewis may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Lewis, 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 | 2020 | 75 | |
| 2 | 2021 | 27 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 13 | |
| 5 | 2020 | 12 | |
| 6 | 2017 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2008 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Noah Lewis
Noah Lewis is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Experimental and Cognitive Psychology and Electrical and Electronic Engineering, having authored 18 papers that have together received 200 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Mental Health Research Topics (3 papers), Machine Learning in Healthcare (2 papers), Advanced Memory and Neural Computing (2 papers), Neuroscience and Neural Engineering (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Cognitive Neuroscience (131 citations), Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (64 citations), Experimental and Cognitive Psychology (22 citations) and Computational Mathematics (1 citation). Noah Lewis has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Zening Fu, Armin Iraji, Vince D. Calhoun, Ashkan Faghiri, Srinivas Rachakonda, Sergey Plis, Jiayu Chen, Md Abdur Rahaman, Harshvardhan Gazula and Theo G.M. van Erp. Their work appears in journals such as Human Brain Mapping, Social Cognitive and Affective Neuroscience, Brain and Behavior, Cerebral Cortex and Scientific Reports.
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.