Michael Dewar
Impact in
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- Neural dynamics and brain function
- Communication top 10%
- Social Media and Politics
Papers in
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- Motor Control and Adaptation 2
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- Control Systems and Identification 3
- Co-authors
- Visakan Kadirkamanathan (8 shared papers)Tom Stafford (2 shared papers)Guido Sanguinetti (4 shared papers)Andrew Zammit‐Mangion (3 shared papers)Dean Robert Freestone (1 shared paper)David Bruce Grayden (1 shared paper)Deen Freelon (1 shared paper)Marc Lynch (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (3 papers)Cognitive Science (1 paper)PLoS ONE (1 paper)Psychological Science (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Michael Dewar
13 papers receiving 387 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 69
- Communication 29
- Developmental and Educational Psychology 41
- General Social Sciences 7
- Sociology and Political Science 81
Countries citing papers authored by Michael Dewar
This map shows the geographic impact of Michael Dewar'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 Michael Dewar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dewar more than expected).
Fields of papers citing papers by Michael Dewar
This network shows the impact of papers produced by Michael Dewar. 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 Michael Dewar. The network helps show where Michael Dewar may publish in the future.
Co-authors
The 20 scholars most cited alongside Michael Dewar, 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 | 2012 | 96 | |
| 2 | 2013 | 88 | |
| 3 | 2011 | 52 | |
| 4 | 2013 | 43 | |
| 5 | 2011 | 33 | |
| 6 | 2008 | 31 | |
| 7 | 2010 | 24 | |
| 8 | 2008 | 20 | |
| 9 | 2007 | 18 | |
| 10 | 2011 | 9 | |
| 11 | Testing theories of skill learning using a very large sample of online game players | 2013 | 2 |
| 12 | 2013 | 1 | |
| 13 | 2013 | 1 |
About Michael Dewar
Michael Dewar is a scholar working on Cognitive Neuroscience, Control and Systems Engineering, Economics and Econometrics, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 13 papers that have together received 418 indexed citations. Recurring topics across this work include Control Systems and Identification (3 papers), Spatial and Panel Data Analysis (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Motor Control and Adaptation (2 papers), Cognitive Abilities and Testing (2 papers), Politics and Conflicts in Afghanistan, Pakistan, and Middle East (2 papers), Sport Psychology and Performance (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cognitive Neuroscience (69 citations), Communication (29 citations), Developmental and Educational Psychology (41 citations), General Social Sciences (7 citations) and Sociology and Political Science (81 citations). Michael Dewar has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Visakan Kadirkamanathan, Tom Stafford, Guido Sanguinetti, Andrew Zammit‐Mangion, Dean Robert Freestone, David Bruce Grayden, Deen Freelon, Marc Lynch, John M. Sides and Sean Aday. Their work appears in journals such as IEEE Transactions on Signal Processing, Cognitive Science, PLoS ONE, Psychological Science and BMC Systems Biology.
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.