Daniel Afergan
- Human-Computer Interaction top 2%
- Interactive and Immersive Displays 2
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 8
- Tactile and Sensory Interactions 3
- Neural dynamics and brain function 2
- Software top 10%
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- Data Visualization and Analytics 2
- Human Factors and Ergonomics top 10%
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- Optical Imaging and Spectroscopy Techniques 5
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- Non-Invasive Vital Sign Monitoring 3
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- User Authentication and Security Systems 2
- Co-authors
- Evan M. PeckRobert J. K. JacobRemco ChangRanjitha KumarJeffrey NicholsBiplab DekaYang LiLane Harrison
- Journals
- ACM Transactions on Computer-Human Interaction (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Military Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel Afergan
16 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 163
- Cognitive Neuroscience 234
- Software 43
- Computer Vision and Pattern Recognition 203
- Human Factors and Ergonomics 16
Countries citing papers authored by Daniel Afergan
This map shows the geographic impact of Daniel Afergan'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 Daniel Afergan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Afergan more than expected).
Fields of papers citing papers by Daniel Afergan
This network shows the impact of papers produced by Daniel Afergan. 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 Daniel Afergan. The network helps show where Daniel Afergan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Afergan, 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 | Ricobreakdown → | 2017 | 267 |
| 2 | 2016 | 27 | |
| 3 | 2016 | 6 | |
| 4 | Beyond detection: investing in practical and theoretical applications of emotion + visualization | 2016 | 1 |
| 5 | 2016 | 94 | |
| 6 | 2015 | 4 | |
| 7 | 2015 | 69 | |
| 8 | 2015 | 45 | |
| 9 | 2015 | 9 | |
| 10 | 2014 | 3 | |
| 11 | 2014 | 13 | |
| 12 | 2014 | 104 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 18 | |
| 15 | 2008 | 11 | |
| 16 | 2008 | 1 |
About Daniel Afergan
Daniel Afergan is a scholar working on Human-Computer Interaction, General Decision Sciences and Cognitive Neuroscience, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), Tactile and Sensory Interactions (3 papers), Neural dynamics and brain function (2 papers), User Authentication and Security Systems (2 papers), Data Visualization and Analytics (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Cognitive Neuroscience (234 citations) and Software (43 citations). Daniel Afergan has collaborated with scholars based in United States and Canada. Frequent co-authors include Evan M. Peck, Robert J. K. Jacob, Remco Chang, Ranjitha Kumar, Jeffrey Nichols, Biplab Deka, Yang Li, Lane Harrison, Beste F. Yuksel and Erin Solovey. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, IEEE Transactions on Visualization and Computer Graphics, Military Medicine, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.