George Leifman

962 total citations
21 papers, 644 citations indexed

About

George Leifman is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, George Leifman has authored 21 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in George Leifman's work include 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers) and Image Processing and 3D Reconstruction (5 papers). George Leifman is often cited by papers focused on 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers) and Image Processing and 3D Reconstruction (5 papers). George Leifman collaborates with scholars based in Israel, United States and India. George Leifman's co-authors include Ayellet Tal, Sagi Katz, Ron Meir, Michael Kolomenkin, Ilan Shimshoni, Ronen Basri, Lihi Zelnik‐Manor, Tal Hassner, Tomer Golany and Tristan Swedish and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Investigative Ophthalmology & Visual Science and Computer Graphics Forum.

In The Last Decade

George Leifman

18 papers receiving 603 citations

Peers

George Leifman
Comparison fields: 5 of 65
  • Computational Mechanics 453
  • Computer Vision and Pattern Recognition 419
  • Computer Graphics and Computer-Aided Design 296
  • Geology 83
  • Aerospace Engineering 54
Replace Hongzhi Wu with:
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Jeremy Reizenstein United Kingdom
Wan‐Chun Ma United States
Ryota Natsume Japan
Ibraheem Alhashim Canada
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Minhyuk Sung South Korea
Rundi Wu United States
Hongzhi Wu China View profile →
Citations per field, relative to George Leifman
George Leifman · 1×
Citations per year, relative to George Leifman
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Countries citing papers authored by George Leifman

Since Specialization
Citations

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

Fields of papers citing papers by George Leifman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Leifman

This figure shows the co-authorship network connecting the top 25 collaborators of George Leifman. A scholar is included among the top collaborators of George Leifman 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 George Leifman. George Leifman 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 0
2 1
3 0
4 2
5 1
6 2
7 1
8
Crowd-sourcing meets deep learning: A hybrid approach for retinal image annotation
2
9 44
10 4
11 4
12 7
13 52
14 65
15 13
16 13
17
Signatures of 3D Models for Retrieval
9
18 10
19 89
20 65

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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