Aaron Duane

735 citations
20 papers · 490 · h-index 10

Impact in

Papers in

Aaron Duane

19 papers receiving 475 citations

Peers

Aaron Duane
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 191
  • Automotive Engineering 66
  • Cognitive Neuroscience 65
  • Human-Computer Interaction 15
  • Artificial Intelligence 74
Replace Maria Beatriz Carmo with:
Maria Beatriz Carmo Portugal
Nadine Marie Moacdieh Lebanon
Marc Schickler Germany
Tan Tang China
Wayne L. Waag United States
Germán Montoro Spain
Katie Anne Gilligan-Lee United Kingdom
Mélodie Boulay France
Simon Butscher Germany
Rebeca I. García-Betances Spain
Aaron Duane relative to Maria Beatriz Carmo Portugal Maria Beatriz Carmo's profile →
Citations per field
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Maria Beatriz Carmo · 1×
Citations per year

Countries citing papers authored by Aaron Duane

Since Specialization
Citations

This map shows the geographic impact of Aaron Duane'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 Aaron Duane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Duane more than expected).

Fields of papers citing papers by Aaron Duane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Duane. 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 Aaron Duane. The network helps show where Aaron Duane may publish in the future.

Co-authors

The 25 scholars most cited alongside Aaron Duane, 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 Aaron Duane Line = papers co-authored together Aaron Duane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A standardized road-map test of direction sense
1965148
2 201789
3 201959
4 201755
5 201828
6 202325
7 202315
8 202015
9 202114
10 202110
11 20219
12 20188
13 20174
14 20233
15
Visual Insights from Personal Lifelogs: Insight at the NTCIR-12 Lifelog LIT Task.
20162
16 20222
17
DCU at the NTCIR-13 Lifelog-2 Task
20171
18 20221
19 20251
20 20221

About Aaron Duane

Aaron Duane is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Management, Demography and Computer Networks and Communications, having authored 20 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Video Analysis and Summarization (7 papers), Multimodal Machine Learning Applications (6 papers), Topic Modeling (3 papers), Technology Use by Older Adults (2 papers), Human Pose and Action Recognition (2 papers), Scientific Computing and Data Management (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Automotive Engineering (66 citations), Cognitive Neuroscience (65 citations), Human-Computer Interaction (15 citations) and Artificial Intelligence (74 citations). Aaron Duane has collaborated with scholars based in Denmark, Ireland and Netherlands. Frequent co-authors include John Money, Cathal Gurrin, Björn Þór Jónsson, Moira Smith, James Stanley, Alan F. Smeaton, Tim Chambers, Amber L. Pearson, Jiang Zhou and Janet Hoek. Their work appears in journals such as Multimedia Systems, American Journal of Preventive Medicine, IEEE Access, ITE Transactions on Media Technology and Applications and International Journal of Behavioral Nutrition and Physical Activity.

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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