Roman Goldenberg

1.3k citations
32 papers · 622 · h-index 11

Impact in

Papers in

Roman Goldenberg

31 papers receiving 589 citations

Peers

Roman Goldenberg
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 354
  • Computer Graphics and Computer-Aided Design 28
  • Radiology, Nuclear Medicine and Imaging 138
  • Media Technology 47
  • Biophysics 27
Replace Yan Xia with:
Yan Xia China
Amod Jog United States
Su Huang Singapore
Xiaolan Zeng United States
Pengcheng Xi Canada
S. Kovacic Slovenia
David Tucker United States
Gil J. Ettinger United States
Yonggang Shi China
S.B. Gokturk United States
Roman Goldenberg relative to Yan Xia China Yan Xia's profile →
Citations per field
00.5×1.7×
Yan Xia · 1×
Citations per year

Countries citing papers authored by Roman Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Roman Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001233
2 200263
3 200946
4 199340
5 200337
6 200529
7 200427
8 201226
9 201321
10 201219
11 201113
12 20148
13 20137
14 20027
15 20235
16 20045
17 19905
18 20025
19 20134
20 20244

About Roman Goldenberg

Roman Goldenberg is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Mechanics and Oncology, having authored 32 papers that have together received 622 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Medical Image Segmentation Techniques (5 papers), Colorectal Cancer Screening and Detection (4 papers), Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (3 papers), Video Surveillance and Tracking Methods (3 papers), Image Retrieval and Classification Techniques (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (354 citations), Computer Graphics and Computer-Aided Design (28 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Media Technology (47 citations) and Biophysics (27 citations). Roman Goldenberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Michael Rudzsky, Ron Kimmel, Ehud Rivlin, Nathan Peled, J.P. Huston, Heinz Steiner, Rainer K.W. Schwarting, Jaime Fornaguera, U. Joseph Schoepf and Peter L. Zwerner. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, European Radiology, Pattern Recognition, IEEE Transactions on Semiconductor Manufacturing and Journal of Hepatology.

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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