Dana Berman

10 total papers · 2.1k total citations
3 papers, 1.4k citations indexed

About

Dana Berman is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Infectious Diseases. According to data from OpenAlex, Dana Berman has authored 3 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 0 papers in Infectious Diseases. Recurrent topics in Dana Berman's work include Image Enhancement Techniques (3 papers), Advanced Image Processing Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). Dana Berman is often cited by papers focused on Image Enhancement Techniques (3 papers), Advanced Image Processing Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). Dana Berman collaborates with scholars based in Israel. Dana Berman's co-authors include Tali Treibitz and Shai Avidan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dana Berman

3 papers receiving 1.4k citations

Hit Papers

Non-local Image Dehazing 2016 2026 2019 2022 2016 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dana Berman 1.4k 815 149 47 42 3 1.4k
Jiaming Mai 1.7k 1.2× 959 1.2× 201 1.3× 68 1.4× 48 1.1× 13 1.8k
Dengpan Fu 1.5k 1.1× 671 0.8× 184 1.2× 108 2.3× 27 0.6× 6 1.6k
Boyi Li 1.4k 1.0× 738 0.9× 176 1.2× 39 0.8× 29 0.7× 12 1.5k
Boyi Li 1.5k 1.1× 703 0.9× 191 1.3× 42 0.9× 30 0.7× 17 1.6k
Louis Kratz 1.0k 0.7× 291 0.4× 54 0.4× 116 2.5× 25 0.6× 8 1.2k
Billy Chen 986 0.7× 500 0.6× 35 0.2× 66 1.4× 170 4.0× 13 1.2k
Mingming He 1.3k 0.9× 329 0.4× 76 0.5× 20 0.4× 242 5.8× 18 1.5k
Yifan Jiang 1.5k 1.0× 560 0.7× 15 0.1× 69 1.5× 14 0.3× 10 1.6k
Yiping Deng 1.1k 0.8× 538 0.7× 16 0.1× 80 1.7× 19 0.5× 3 1.4k
Seungjun Nah 1.6k 1.2× 760 0.9× 6 0.0× 70 1.5× 34 0.8× 8 1.8k

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-authorship network of co-authors of Dana Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Berman. A scholar is included among the top collaborators of Dana Berman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana Berman. Dana Berman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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