Michael S. Brown

5.9k citations
129 papers · 3.6k indexed · 2 hit papers · h-index 31

Michael S. Brown

124 papers receiving 3.5k citations

Hit Papers

As-Projective-As-Possible Image Stitching with Moving DLT3262011202620162021100200300

Peers

Michael S. Brown
Comparison fields: 5 of 174
  • Computer Vision and Pattern Recognition 2.0k
  • Computer Graphics and Computer-Aided Design 303
  • Media Technology 734
  • Human-Computer Interaction 333
  • Geology 109
Replace Xu Li with:
Xu Li China
Hiroshi Murase Japan
Nahum Kiryati Israel
Alvy Ray Smith United States
Edmund Y. Lam Hong Kong
Frank Y. Shih United States
Zhu Li China
Janusz Konrad United States
Michael Wand Germany
Zhibo Chen China
Michael S. Brown relative to Xu Li China Xu Li's profile →
Citations per field
00.5×6.4×
Xu Li · 1×
Citations per year

Countries citing papers authored by Michael S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20222
3 202234
4 20196
5
Sensor-Independent Illumination Estimation for DNN Models.
20197
6 201799
7 201717
8 2016199
9 201367
10 20132
11 2012107
12 20112
13 200980
14
Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
20082
15 200763
16
Doing Adventure Education the 'Right' Way
20041
17 200317
18 200140
19 19971
20 198519

About Michael S. Brown

Michael S. Brown is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 129 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Image Enhancement Techniques (20 papers), Spectroscopy and Laser Applications (17 papers), Color Science and Applications (16 papers), Computer Graphics and Visualization Techniques (15 papers), Interactive and Immersive Displays (14 papers), Image Processing Techniques and Applications (10 papers) and Combustion and flame dynamics (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Computer Graphics and Computer-Aided Design (303 citations) and Media Technology (734 citations). Michael S. Brown has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Yu‐Wing Tai, Tat-Jun Chin, David Suter, Julio H. Zaragoza, Ruigang Yang, Jaesik Park, In-So Kweon, Hyeongwoo Kim, W. Brent Seales and Joseph L. Goldstein. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.

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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