Roman Goldenberg

1.3k citations
41 papers · 772 · h-index 13

Impact in

Papers in

Roman Goldenberg

39 papers receiving 729 citations

Peers

Roman Goldenberg
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 464
  • Computer Graphics and Computer-Aided Design 36
  • Radiology, Nuclear Medicine and Imaging 158
  • Biophysics 34
  • Media Technology 51
Replace Yan Xia with:
Yan Xia China
Shireen Elhabian United States
Jean‐Louis Dillenseger France
Klaus Tönnies Germany
Thomas Hartkens United Kingdom
Amod Jog United States
Su Huang Singapore
Xiaolan Zeng United States
Bisser Raytchev Japan
Pengcheng Xi Canada
Roman Goldenberg relative to Yan Xia China Yan Xia's profile →
Citations per field
00.5×1.5×1.9×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001273
2 200285
3 200950
4 199346
5 200339
6 200535
7 201228
8 200428
9 201322
10 199922
11 201219
12 201113
13 202312
14 200210
15 20029
16 20148
17 20137
18 20027
19 20236
20 20235

About Roman Goldenberg

Roman Goldenberg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Computational Mechanics, having authored 41 papers that have together received 772 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Colorectal Cancer Screening and Detection (7 papers), Cardiac Imaging and Diagnostics (6 papers), Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Image Retrieval and Classification Techniques (4 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (464 citations), Computer Graphics and Computer-Aided Design (36 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Biophysics (34 citations) and Media Technology (51 citations). Roman Goldenberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Michael Rudzsky, Ron Kimmel, Ehud Rivlin, J.P. Huston, Nathan Peled, Jaime Fornaguera, Heinz Steiner, Rainer K.W. Schwarting, U. Joseph Schoepf and Christian Thilo. Their work appears in journals such as European Radiology, International Journal of Computer Assisted Radiology and Surgery, Pattern Recognition, IEEE Transactions on Semiconductor Manufacturing and IEEE Transactions on Medical Imaging.

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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