Nicholas V. Metcalf
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 18
- Neural dynamics and brain function 9
- EEG and Brain-Computer Interfaces 9
- Visual perception and processing mechanisms 4
- Spatial Neglect and Hemispheric Dysfunction 3
- Neural and Behavioral Psychology Studies 3
- Rehabilitation top 5%
- Neurology top 5%
-
- Advanced Neuroimaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 4
- Psychiatry and Mental health top 10%
- Co-authors
- Maurizio CorbettaGordon L. ShulmanLenny RamseyAntonello BaldassarreJoshua S. SiegelJoseph C. GriffisAbraham Z. SnyderCarl D. Hacker
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Nicholas V. Metcalf
27 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 1.1k
- Rehabilitation 155
- Neurology 184
- Radiology, Nuclear Medicine and Imaging 503
- Psychiatry and Mental health 123
Countries citing papers authored by Nicholas V. Metcalf
This map shows the geographic impact of Nicholas V. Metcalf'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 Nicholas V. Metcalf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas V. Metcalf more than expected).
Fields of papers citing papers by Nicholas V. Metcalf
This network shows the impact of papers produced by Nicholas V. Metcalf. 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 Nicholas V. Metcalf. The network helps show where Nicholas V. Metcalf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas V. Metcalf, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 41 | |
| 9 | 2021 | 87 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 47 | |
| 13 | 2019 | 127 | |
| 14 | 2018 | 40 | |
| 15 | 2018 | 23 | |
| 16 | 2016 | 36 | |
| 17 | 2016 | 11 | |
| 18 | 2015 | 45 | |
| 19 | 2014 | 37 | |
| 20 | 2014 | 136 |
About Nicholas V. Metcalf
Nicholas V. Metcalf is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Virology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Visual perception and processing mechanisms (4 papers), Advanced MRI Techniques and Applications (4 papers), Spatial Neglect and Hemispheric Dysfunction (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Rehabilitation (155 citations) and Neurology (184 citations). Nicholas V. Metcalf has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Maurizio Corbetta, Gordon L. Shulman, Lenny Ramsey, Antonello Baldassarre, Joshua S. Siegel, Joseph C. Griffis, Abraham Z. Snyder, Carl D. Hacker, Ravi V. Chacko and Kilian Q. Weinberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.