D. Brown

20 papers receiving 491 citations

Peers

D. Brown
Comparison fields: 5 of 67
  • Human-Computer Interaction 161
  • Computer Vision and Pattern Recognition 255
  • Dermatology 48
  • Media Technology 27
  • Psychiatry and Mental health 46
Replace Anastassia Angelopoulou with:
Anastassia Angelopoulou United Kingdom
Heather M. Oonk United States
Shujun Zhang China
Kunihiro Chihara Japan
Akira Tomono Japan
Agostino Gibaldi Italy
Harry L. Snyder United States
David S. Wooding United Kingdom
Tsutomu Miyasato Japan
Marc Wolter Germany
D. Brown relative to Anastassia Angelopoulou United Kingdom Anastassia Angelopoulou's profile →
Citations per field
00.5×2×3.1×
Anastassia Angelopoulou · 1×
Citations per year

Countries citing papers authored by D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside D. Brown, 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 D. Brown Line = papers co-authored together D. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 200677
3 197159
4 200255
5 200254
6 199452
7 200624
8 200422
9 201722
10 196719
11 200616
12 200315
13
Virtual reality and rapid prototyping
199314
14 19759
15 20037
16 19813
17 19652
18
Urban Terrain Modeling For Augmented Reality
20011
19
Virtual Targets for the Real World
20051
20 20051

About D. Brown

D. Brown is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Dermatology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 22 papers that have together received 536 indexed citations. Recurring topics across this work include Augmented Reality Applications (8 papers), Dermatology and Skin Diseases (4 papers), Interactive and Immersive Displays (3 papers), Psychosomatic Disorders and Their Treatments (3 papers), Virtual Reality Applications and Impacts (2 papers), Teleoperation and Haptic Systems (1 paper), Usability and User Interface Design (1 paper) and Psychotherapy Techniques and Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (161 citations), Computer Vision and Pattern Recognition (255 citations), Dermatology (48 citations), Media Technology (27 citations) and Psychiatry and Mental health (46 citations). D. Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Yohan Baillot, Simon Julier, J. Edward Swan, Joseph L. Gabbard, Deborah Hix, Mark A. Livingston, Marco O. Lanzagorta, Tobias Höllerer, H. S. Smallman and Paul S. Freemont. Their work appears in journals such as Journal of Psychosomatic Research, Journal of Neural Engineering, IEEE Computer Graphics and Applications, Experimental Biology and Medicine and Proceedings of the National Academy of Sciences.

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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