Lior Weizman

561 total citations
33 papers, 413 citations indexed

About

Lior Weizman is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lior Weizman has authored 33 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computational Mechanics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lior Weizman's work include Sparse and Compressive Sensing Techniques (10 papers), Advanced MRI Techniques and Applications (9 papers) and Medical Imaging Techniques and Applications (7 papers). Lior Weizman is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Advanced MRI Techniques and Applications (9 papers) and Medical Imaging Techniques and Applications (7 papers). Lior Weizman collaborates with scholars based in Israel, United Kingdom and United States. Lior Weizman's co-authors include Yonina C. Eldar, Jacob Goldberger, Dafna Ben Bashat, Leo Joskowicz, Shlomi Constantini, Ben Shofty, Assaf Tal, Liat Ben‐Sira, João F. C. Mota and Miguel R. D. Rodrigues and has published in prestigious journals such as International Journal of Remote Sensing, Medical Physics and Medical Image Analysis.

In The Last Decade

Lior Weizman

33 papers receiving 401 citations

Peers

Lior Weizman
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 164
  • Computer Vision and Pattern Recognition 119
  • Neurology 77
  • Epidemiology 70
  • Computational Mechanics 64
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Citations per field, relative to Lior Weizman
Lior Weizman · 1×
Citations per year, relative to Lior Weizman
Lior Weizman · 1×

Countries citing papers authored by Lior Weizman

Since Specialization
Citations

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

Fields of papers citing papers by Lior Weizman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Weizman

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 51
2
Joint Multicontrast MRI Reconstruction
1
3 2
4 9
5 17
6 3
7
The application of Compressed Sensing for Longitudinal MRI.
7
8 24
9 5
10 5
11 18
12 9
13 60
14 2
15 13
16 4
17 40
18 1
19 5
20 3

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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