Daniel Afergan

1.1k citations
23 papers · 853 · 1 hit paper · h-index 12

Impact in

Papers in

Daniel Afergan

23 papers receiving 826 citations

Daniel Afergan's Hit Papers

Rico 2017 · 306 citations
3060+3+6Years since publication100200300

Peers

Daniel Afergan
Comparison fields: 5 of 83
  • Human-Computer Interaction 190
  • Cognitive Neuroscience 302
  • Computer Vision and Pattern Recognition 246
  • Software 45
  • Human Factors and Ergonomics 17
Replace Thorsten Karrer with:
Thorsten Karrer Germany
Francisco R. Ortega United States
Pavel Slavı́k Czechia
Buntarou Shizuki Japan
Andrea Bianchi South Korea
Meera Blattner United States
Luis A. Leiva Spain
Bart Peintner United States
David R. McGee United States
Juha Kela Finland
Daniel Afergan relative to Thorsten Karrer Germany Thorsten Karrer's profile →
Citations per field
00.5×7.8×
Thorsten Karrer · 1×
Citations per year

Countries citing papers authored by Daniel Afergan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Afergan Line = papers co-authored together Daniel Afergan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rico
Hit paper breakdown →
2017306
2 2014124
3 2016107
4 201575
5 201551
6 201631
7 201427
8 201321
9 201418
10 201615
11 201512
12 200811
13 201511
14 20167
15 20117
16 20147
17 20075
18 20115
19 20155
20 20144

About Daniel Afergan

Daniel Afergan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Information Systems, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 23 papers that have together received 853 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Optical Imaging and Spectroscopy Techniques (7 papers), Non-Invasive Vital Sign Monitoring (4 papers), User Authentication and Security Systems (3 papers), Neural dynamics and brain function (3 papers), Tactile and Sensory Interactions (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Human-Computer Interaction (190 citations), Cognitive Neuroscience (302 citations), Computer Vision and Pattern Recognition (246 citations), Software (45 citations) and Human Factors and Ergonomics (17 citations). Daniel Afergan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert J.K Jacob, Evan M. Peck, Remco Chang, Jeffrey Nichols, Yang Li, Ranjitha Kumar, Biplab Deka, Beste F. Yuksel, Lane Harrison and Erin Solovey. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, Lecture notes in computer science, Military Medicine and Smith ScholarWorks (Smith College).

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.

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