D. Brown

22 papers receiving 559 citations

Peers

D. Brown
Comparison fields: 5 of 105
  • Human-Computer Interaction 255
  • Computer Vision and Pattern Recognition 287
  • Computer Graphics and Computer-Aided Design 23
  • Dermatology 48
  • Hematology 58
Replace Tomoaki Nakano with:
Tomoaki Nakano Japan
Allan Ponniah United Kingdom
Yuki Hashimoto Japan
Alexa Siu United States
G.J. Kim South Korea
Abhishek Ranjan India
Yuki Mori Japan
Shabnam Abtahi Iran
Brian D. Hall United States
Philippe Fuchs France
D. Brown relative to Tomoaki Nakano Japan Tomoaki Nakano's profile →
Citations per field
00.5×10×16×
Tomoaki Nakano · 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 25 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 200979
3 200677
4 197160
5 200254
6 199454
7 200254
8 200424
9 200621
10 201720
11 196720
12 200617
13 200315
14
Virtual reality and rapid prototyping
199314
15 19759
16 20038
17 19813
18 19652
19 19741
20
Urban Terrain Modeling For Augmented Reality
20011

About D. Brown

D. Brown is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Automotive Engineering, Molecular Biology and Dermatology, having authored 26 papers that have together received 617 indexed citations. Recurring topics across this work include Augmented Reality Applications (8 papers), Interactive and Immersive Displays (5 papers), Spatial Cognition and Navigation (4 papers), Virtual Reality Applications and Impacts (4 papers), Dermatology and Skin Diseases (3 papers), Psychological Testing and Assessment (2 papers), Contact Dermatitis and Allergies (2 papers) and Food Allergy and Anaphylaxis Research (2 papers). The work is most often cited by research in Human-Computer Interaction (255 citations), Computer Vision and Pattern Recognition (287 citations), Computer Graphics and Computer-Aided Design (23 citations), Dermatology (48 citations) and Hematology (58 citations). D. Brown has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Yohan Baillot, Simon Julier, J. Edward Swan, Mark Livingston, Deborah Hix, Joseph L. Gabbard, Marco Lanzagorta, Stephen Michaels, Tobias Höllerer and Yiguo Hu. Their work appears in journals such as Journal of Psychosomatic Research, Experimental Biology and Medicine, Structure and bonding, Psychotherapy and Psychosomatics and Leukemia.

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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