Daniel Goldberg‐Zimring

641 total citations
16 papers, 481 citations indexed

About

Daniel Goldberg‐Zimring is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Goldberg‐Zimring has authored 16 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Goldberg‐Zimring's work include Multiple Sclerosis Research Studies (9 papers), Ultrasound Imaging and Elastography (4 papers) and Medical Image Segmentation Techniques (3 papers). Daniel Goldberg‐Zimring is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Ultrasound Imaging and Elastography (4 papers) and Medical Image Segmentation Techniques (3 papers). Daniel Goldberg‐Zimring collaborates with scholars based in United States, Israel and United Kingdom. Daniel Goldberg‐Zimring's co-authors include Simon K. Warfield, Anat Achiron, Haim Azhari, Charles R.G. Guttmann, Andrea U. J. Mewes, Kelly H. Zou, Steven Haker, David C. Alsop, Ion‐Florin Talos and Maria K. Houtchens and has published in prestigious journals such as NeuroImage, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Daniel Goldberg‐Zimring

16 papers receiving 472 citations

Peers

Daniel Goldberg‐Zimring
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 212
  • Pathology and Forensic Medicine 201
  • Computer Vision and Pattern Recognition 96
  • Biomedical Engineering 82
  • Molecular Biology 44
Replace Refaat E. Gabr with:
Refaat E. Gabr United States
I Leng Tan Netherlands
Robertus H.C. Bisschops Netherlands
Eugenio Maria Covelli Italy
Mário João Fartaria Switzerland
Michaël Sdika France
László G. Nyúl Hungary
Boubakeur Belaroussi France
Zhizheng Zhuo China
Yoshiharu Higashida Japan
Refaat E. Gabr United States View profile →
Citations per field, relative to Daniel Goldberg‐Zimring
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Citations per year, relative to Daniel Goldberg‐Zimring
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Countries citing papers authored by Daniel Goldberg‐Zimring

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goldberg‐Zimring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Goldberg‐Zimring. 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 Daniel Goldberg‐Zimring. The network helps show where Daniel Goldberg‐Zimring may publish in the future.

Co-authorship network of co-authors of Daniel Goldberg‐Zimring

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Goldberg‐Zimring. A scholar is included among the top collaborators of Daniel Goldberg‐Zimring 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 Daniel Goldberg‐Zimring. Daniel Goldberg‐Zimring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 39
2 79
3 1
4 71
5 7
6 4
7 11
8 57
9 39
10 8
11 28
12 52
13 2
14 19
15 14
16 50

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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2026