Mark S. Drew

6.6k citations
150 papers · 3.7k · 1 hit paper · h-index 28

Impact in

Papers in

Mark S. Drew

145 papers receiving 3.4k citations

Mark S. Drew's Hit Papers

On the removal of shadows from images 2006 · 453 citations
4530+6+13Years since publication100200300400

Peers

Mark S. Drew
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 2.9k
  • Computer Graphics and Computer-Aided Design 447
  • Media Technology 620
  • Atomic and Molecular Physics, and Optics 1.4k
  • Signal Processing 185
Replace Todd Zickler with:
Todd Zickler United States
Thrasyvoulos N. Pappas United States
Sumanta Pattanaik United States
Aseem Agarwala United States
Jack Tumblin United States
Marcelo Bertalmı́o Spain
Yuichi Ohta Japan
Glenn Healey United States
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Jan‐Mark Geusebroek Netherlands
Mark S. Drew relative to Todd Zickler United States Todd Zickler's profile →
Citations per field
00.5×2.8×
Todd Zickler · 1×
Citations per year

Countries citing papers authored by Mark S. Drew

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the removal of shadows from images
Hit paper breakdown →
2006453
2 1994244
3 2009244
4 2005244
5 1994158
6 1991111
7 2013103
8 200699
9 200772
10 199069
11 200268
12 200261
13 200659
14 201456
15 200754
16 199354
17 200253
18 199252
19 199947
20 200344

About Mark S. Drew

Mark S. Drew is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Media Technology and Cognitive Neuroscience, having authored 150 papers that have together received 3.7k indexed citations. Recurring topics across this work include Color Science and Applications (68 papers), Image Enhancement Techniques (62 papers), Advanced Vision and Imaging (39 papers), Computer Graphics and Visualization Techniques (26 papers), Advanced Image and Video Retrieval Techniques (20 papers), Image Retrieval and Classification Techniques (14 papers), Video Surveillance and Tracking Methods (12 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Computer Graphics and Computer-Aided Design (447 citations), Media Technology (620 citations), Atomic and Molecular Physics, and Optics (1.4k citations) and Signal Processing (185 citations). Mark S. Drew has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Graham D. Finlayson, Brian Funt, Cheng Lu, Ze-Nian Li, S. D. Hordley, Hamid Reza Vaezi Joze, Rajeev Ramanath, Jian Wei Ho, W.E. Snyder and Youngjun Yoo. Their work appears in journals such as Journal of the Optical Society of America A, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Solar Energy and Image and Vision Computing.

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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