Dana Berman

2.2k citations
4 papers · 1.5k · 1 hit paper · h-index 3

Impact in

    • Advanced Image Fusion Techniques
    • Image Enhancement Techniques
    • Advanced Image Processing Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Advanced Neural Network Applications

Papers in

Dana Berman

3 papers receiving 1.5k citations

Dana Berman's Hit Papers

Non-local Image Dehazing 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Dana Berman
Comparison fields: 5 of 39
  • Media Technology 834
  • Computer Vision and Pattern Recognition 1.5k
  • Acoustics and Ultrasonics 16
  • Safety, Risk, Reliability and Quality 156
  • Computer Graphics and Computer-Aided Design 47
Replace Mingye Ju with:
Mingye Ju China
Yuda Song China
Jiangyong Duan China
Yongrui Ma China
Jaehee You South Korea
Ketan Tang Hong Kong
Lerenhan Li China
Jiandong Tian China
Minjun Hou China
Shuzhou Yang China
Dana Berman relative to Mingye Ju China Mingye Ju's profile →
Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Dana Berman

Since Specialization
Citations

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

Fields of papers citing papers by Dana Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Dana Berman, 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 Dana Berman Line = papers co-authored together Dana Berman links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Non-local Image Dehazing
Hit paper breakdown →
20161144
2 2018228
3 2017134
4 20220

About Dana Berman

Dana Berman is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Advanced Image Processing Techniques (2 papers), Advanced Image Fusion Techniques (2 papers), Cardiac Imaging and Diagnostics (1 paper), Video Surveillance and Tracking Methods (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Media Technology (834 citations), Computer Vision and Pattern Recognition (1.5k citations), Acoustics and Ultrasonics (16 citations), Safety, Risk, Reliability and Quality (156 citations) and Computer Graphics and Computer-Aided Design (47 citations). Dana Berman has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Shai Avidan, Tali Treibitz and Alexander C. Razavi. Their work appears in journals such as Journal of cardiovascular computed tomography and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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