Scott Cohen

11.6k citations
121 papers · 5.9k indexed · 2 hit papers · h-index 42

Scott Cohen

116 papers receiving 5.7k citations

Hit Papers

Towards unified depth and semantic prediction from a sing...2872012202620162021100200300400500

Peers

Scott Cohen
Comparison fields: 5 of 184
  • Nephrology 1.2k
  • Computer Vision and Pattern Recognition 3.3k
  • Media Technology 1.1k
  • Computer Graphics and Computer-Aided Design 123
  • Psychiatry and Mental health 508
Replace Yanfeng Li with:
Yanfeng Li China
Xing Xu China
David Field United Kingdom
Thomas Lehmann Germany
Bradley J. Erickson United States
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Steffen E. Petersen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Scott Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20231
3 20220
4 20224
5 201923
6 201939
7 20182
8 201731
9 201772
10
Progressive Attention Networks for Visual Attribute Prediction
20163
11 201220
12 201118
13 201021
14 201062
15
Applying Individualized Marketing to the Workplace
20081
16 200881
17 200866
18 2007120
19 199726
20
Gis Applications for Disease Risk Analysis
19930

About Scott Cohen

Scott Cohen is a scholar working on Nephrology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Transplantation and Media Technology, having authored 121 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (18 papers), Dialysis and Renal Disease Management (17 papers), Image Enhancement Techniques (14 papers), Renal Diseases and Glomerulopathies (12 papers), Advanced Image Processing Techniques (11 papers), Visual Attention and Saliency Detection (10 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Nephrology (1.2k citations), Computer Vision and Pattern Recognition (3.3k citations), Media Technology (1.1k citations), Computer Graphics and Computer-Aided Design (123 citations) and Psychiatry and Mental health (508 citations). Scott Cohen has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Brian Price, Paul L. Kimmel, Zhe Lin, Shuicheng Yan, Jordan B. Peterson, Daniel Cukor, Zhaowen Wang, Thomas S. Huang, Bryan S. Morse and Ming–Hsuan Yang. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, Journal of the American Society of Nephrology, Current Opinion in Critical Care, IEEE Transactions on Image Processing and American Journal of Nephrology.

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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