Deanna M. Barch
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 26
- Neural and Behavioral Psychology Studies 9
- Neural dynamics and brain function 7
- Psychiatry and Mental health top 0.5%
- Schizophrenia research and treatment 9
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- Mental Health Research Topics 11
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 8
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- Advanced Neuroimaging Techniques and Applications 7
- Biological Psychiatry top 2%
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- Child and Adolescent Psychosocial and Emotional Development 15
- Co-authors
- Kâmil UǧurbilDavid C. Van EssenTimothy E.J. BehrensEssa YacoubStephen M. SmithJoan L. LubyGrega RepovšTodd S. Braver
- Journals
- Proceedings of the National Academy of Sciences (1 paper)NeuroImage (4 papers)American Journal of Psychiatry (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Deanna M. Barch
63 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cognitive Neuroscience 4.6k
- Psychiatry and Mental health 1.6k
- Experimental and Cognitive Psychology 1.4k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Biological Psychiatry 200
Countries citing papers authored by Deanna M. Barch
This map shows the geographic impact of Deanna M. Barch'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 Deanna M. Barch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna M. Barch more than expected).
Fields of papers citing papers by Deanna M. Barch
This network shows the impact of papers produced by Deanna M. Barch. 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 Deanna M. Barch. The network helps show where Deanna M. Barch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deanna M. Barch, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2021 | 78 | |
| 4 | 2020 | 47 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 34 | |
| 8 | 2018 | 35 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 14 | |
| 11 | 2016 | 44 | |
| 12 | 2015 | 98 | |
| 13 | 2014 | 38 | |
| 14 | The WU-Minn Human Connectome Project: An overviewbreakdown → | 2013 | 3446 |
| 15 | 2013 | 16 | |
| 16 | 2012 | 69 | |
| 17 | 2010 | 145 | |
| 18 | 2010 | 245 | |
| 19 | 2010 | 151 | |
| 20 | 1998 | 115 |
About Deanna M. Barch
Deanna M. Barch is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 66 papers that have together received 7.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (26 papers), Child and Adolescent Psychosocial and Emotional Development (15 papers), Mental Health Research Topics (11 papers), Schizophrenia research and treatment (9 papers), Neural and Behavioral Psychology Studies (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers), Neural dynamics and brain function (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (4.6k citations), Psychiatry and Mental health (1.6k citations) and Experimental and Cognitive Psychology (1.4k citations). Deanna M. Barch has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Kâmil Uǧurbil, David C. Van Essen, Timothy E.J. Behrens, Essa Yacoub, Stephen M. Smith, Joan L. Luby, Grega Repovš, Todd S. Braver, John G. Csernansky and Caroline A. Racine. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and American Journal of Psychiatry.
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.