David E. Stark
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Hemispheric Asymmetry in Neuroscience
- Health top 5%
- Gun Ownership and Violence Research
Papers in
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- Neural dynamics and brain function 2
- Functional Brain Connectivity Studies 2
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- Ophthalmology and Visual Health Research 1
- Co-authors
- Nigam H. Shah (2 shared papers)Daniel S. Margulies (2 shared papers)Marie T. Banich (2 shared papers)Clare Kelly (2 shared papers)Lucina Q. Uddin (2 shared papers)Dylan G. Gee (2 shared papers)Zarrar Shehzad (2 shared papers)Michael P. Milham (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Journal of Experimental Psychology Human Perception & Performance (1 paper)NeuroImage (1 paper)Journal of Neuroscience (1 paper)JAMA (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
David E. Stark
8 papers receiving 595 citations
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 295
- Health 99
- Radiology, Nuclear Medicine and Imaging 135
- Health Information Management 27
- Medical Terminology 1
Countries citing papers authored by David E. Stark
This map shows the geographic impact of David E. Stark'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 David E. Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Stark more than expected).
Fields of papers citing papers by David E. Stark
This network shows the impact of papers produced by David E. Stark. 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 David E. Stark. The network helps show where David E. Stark may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Stark, 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 | 2008 | 269 | |
| 2 | 2017 | 109 | |
| 3 | 2016 | 106 | |
| 4 | 2010 | 53 | |
| 5 | 2006 | 30 | |
| 6 | 2015 | 21 | |
| 7 | 2017 | 14 | |
| 8 | 2016 | 6 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About David E. Stark
David E. Stark is a scholar working on Cognitive Neuroscience, Ophthalmology, Surgery, Molecular Biology and Automotive Engineering, having authored 10 papers that have together received 608 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Functional Brain Connectivity Studies (2 papers), Diabetes Management and Research (1 paper), Chronic Disease Management Strategies (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Web Data Mining and Analysis (1 paper), Ophthalmology and Visual Health Research (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Cognitive Neuroscience (295 citations), Health (99 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Health Information Management (27 citations) and Medical Terminology (1 citation). David E. Stark has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Nigam H. Shah, Daniel S. Margulies, Marie T. Banich, Clare Kelly, Lucina Q. Uddin, Dylan G. Gee, Zarrar Shehzad, Michael P. Milham, F. Xavier Castellanos and Philip T. Reiss. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Experimental Psychology Human Perception & Performance, NeuroImage, Journal of Neuroscience and JAMA.
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.