Chase C. Dougherty
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Attention Deficit Hyperactivity Disorder
Papers in
-
- Functional Brain Connectivity Studies 3
- Autism Spectrum Disorder Research 2
- EEG and Brain-Computer Interfaces 2
- Face Recognition and Perception 1
- Surgery 2
- Head and Neck Surgical Oncology 2
- Co-authors
- Andrew M. Michael (6 shared papers)David W. Evans (4 shared papers)Stefi A. Baum (2 shared papers)Tonya White (1 shared paper)Chao Zhang (1 shared paper)Gregory J. Moore (2 shared papers)Scott M. Myers (1 shared paper)Kimberly L. H. Carpenter (1 shared paper)
- Journals
- Brain Connectivity (1 paper)Neuropsychology Review (1 paper)Frontiers in Human Neuroscience (1 paper)Annals of Epidemiology (1 paper)Molecular Autism (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Chase C. Dougherty
7 papers receiving 338 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 265
- Psychiatry and Mental health 63
- Computational Mathematics 2
- Radiology, Nuclear Medicine and Imaging 64
- Experimental and Cognitive Psychology 34
Countries citing papers authored by Chase C. Dougherty
This map shows the geographic impact of Chase C. Dougherty'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 Chase C. Dougherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chase C. Dougherty more than expected).
Fields of papers citing papers by Chase C. Dougherty
This network shows the impact of papers produced by Chase C. Dougherty. 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 Chase C. Dougherty. The network helps show where Chase C. Dougherty may publish in the future.
Co-authors
The 14 scholars most cited alongside Chase C. Dougherty, 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 | 2018 | 111 | |
| 2 | 2015 | 73 | |
| 3 | 2021 | 66 | |
| 4 | 2016 | 37 | |
| 5 | 2016 | 29 | |
| 6 | 2016 | 27 | |
| 7 | 2022 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 |
About Chase C. Dougherty
Chase C. Dougherty is a scholar working on Cognitive Neuroscience, Surgery, Genetics, Psychiatry and Mental health and Otorhinolaryngology, having authored 9 papers that have together received 344 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (3 papers), Autism Spectrum Disorder Research (2 papers), Attention Deficit Hyperactivity Disorder (2 papers), EEG and Brain-Computer Interfaces (2 papers), Head and Neck Surgical Oncology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Face Recognition and Perception (1 paper) and Sinusitis and nasal conditions (1 paper). The work is most often cited by research in Cognitive Neuroscience (265 citations), Psychiatry and Mental health (63 citations), Computational Mathematics (2 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Experimental and Cognitive Psychology (34 citations). Chase C. Dougherty has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Andrew M. Michael, David W. Evans, Stefi A. Baum, Tonya White, Chao Zhang, Gregory J. Moore, Scott M. Myers, Kimberly L. H. Carpenter, Gajendra J. Katuwal and Ingrid R. Olson. Their work appears in journals such as Brain Connectivity, Neuropsychology Review, Frontiers in Human Neuroscience, Annals of Epidemiology and Molecular Autism.
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.