David Akers
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Mathematics top 10%
Papers in
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- Functional Brain Connectivity Studies 2
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- Usability and User Interface Design 3
- Interactive and Immersive Displays 2
- Innovative Human-Technology Interaction 2
- Co-authors
- Anthony J. Sherbondy (2 shared papers)Robert F. Dougherty (2 shared papers)Brian A. Wandell (2 shared papers)Terry Winograd (2 shared papers)Robin Jeffries (2 shared papers)Maneesh Agrawala (1 shared paper)Frank Losasso (1 shared paper)Jeff Klingner (1 shared paper)
- Journals
- IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)ACM Transactions on Computer-Human Interaction (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
David Akers
9 papers receiving 331 citations
Peers
Comparison fields: 5 of 66
- Computer Graphics and Computer-Aided Design 67
- Computational Mathematics 9
- Human-Computer Interaction 68
- Computer Vision and Pattern Recognition 123
- Cognitive Neuroscience 103
Countries citing papers authored by David Akers
This map shows the geographic impact of David Akers'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 Akers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Akers more than expected).
Fields of papers citing papers by David Akers
This network shows the impact of papers produced by David Akers. 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 Akers. The network helps show where David Akers may publish in the future.
Co-authors
The 12 scholars most cited alongside David Akers, 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 | 2005 | 100 | |
| 2 | 2004 | 59 | |
| 3 | 2006 | 47 | |
| 4 | 2005 | 45 | |
| 5 | 2009 | 40 | |
| 6 | 2006 | 34 | |
| 7 | 2012 | 14 | |
| 8 | 2002 | 7 | |
| 9 | 2007 | 4 |
About David Akers
David Akers is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging, Automotive Engineering and Information Systems, having authored 9 papers that have together received 350 indexed citations. Recurring topics across this work include Usability and User Interface Design (3 papers), Interactive and Immersive Displays (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Innovative Human-Technology Interaction (2 papers), Functional Brain Connectivity Studies (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Spatial Cognition and Navigation (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Computational Mathematics (9 citations), Human-Computer Interaction (68 citations), Computer Vision and Pattern Recognition (123 citations) and Cognitive Neuroscience (103 citations). David Akers has collaborated with scholars based in United States. Frequent co-authors include Anthony J. Sherbondy, Robert F. Dougherty, Brian A. Wandell, Terry Winograd, Robin Jeffries, Maneesh Agrawala, Frank Losasso, Jeff Klingner, John W. Rick and Pat Hanrahan. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction and Lecture notes in computer science.
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.