Y. Fridman

802 total citations
10 papers, 562 citations indexed

About

Y. Fridman is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Y. Fridman has authored 10 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Materials Chemistry. Recurrent topics in Y. Fridman's work include Medical Image Segmentation Techniques (4 papers), Carbon Nanotubes in Composites (3 papers) and 3D Shape Modeling and Analysis (3 papers). Y. Fridman is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Carbon Nanotubes in Composites (3 papers) and 3D Shape Modeling and Analysis (3 papers). Y. Fridman collaborates with scholars based in United States, Ireland and France. Y. Fridman's co-authors include Stephen M. Pizer, Michael R. Jiroutek, Sarang Joshi, Erik D. Larson, Dorothy A. Erie, James T. Drummond, Paul A. Yushkevich, Mark Schofield, Chunwei Du and Zhe Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review B and International Journal of Computer Vision.

In The Last Decade

Y. Fridman

10 papers receiving 534 citations

Peers

Y. Fridman
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 181
  • Molecular Biology 151
  • Materials Chemistry 124
  • Biomedical Engineering 110
  • Pathology and Forensic Medicine 63
Replace Yun Zhou with:
Yun Zhou China
Lingxue Wang China
Xiaofen Wang China
Ruichen Luo China
Ching‐Wei Chang United States
Jaeyi Chun United States
Jacob I. Laughner United States
Elizabeth Jurrus United States
Justin S. Baba United States
Yun Zhou China View profile →
Citations per field, relative to Y. Fridman
Y. Fridman · 1×
Citations per year, relative to Y. Fridman
Y. Fridman · 1×

Countries citing papers authored by Y. Fridman

Since Specialization
Citations

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

Fields of papers citing papers by Y. Fridman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Fridman

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 2
2
DigiRoot ™ : New Software for Root Studies
5
3 2
4 12
5 10
6 34
7
Extracting branching object geometry via cores
2
8 124
9 213
10 158

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026