Lior Yariv

872 citations
5 papers · 108 indexed · 1 hit paper · h-index 4
Topics
Computer Graphics and Visualization Techniques (4 papers)3D Shape Modeling and Analysis (4 papers)Advanced Vision and Imaging (3 papers)
Journals
arXiv (Cornell University)

In The Last Decade

Lior Yariv

5 papers receiving 107 citations

Hit Papers

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis20232026202420252023255075

Peers

Lior Yariv
Comparison fields: 5 of 23
  • Computer Vision and Pattern Recognition 71
  • Computer Graphics and Computer-Aided Design 70
  • Computational Mechanics 56
  • Geology 22
  • Environmental Engineering 9
Replace Binbin Huang with:
Binbin Huang China
Yajie Yan United States
Duygu Ceylan United States
Michael Oechsle Germany
Tomáš Jakab United Kingdom
Matan Atzmon Israel
Kirill Dmitriev Germany
Baorui Ma China
Urs Bergmann Germany
Daeyun Shin United States
Lior Yariv relative to Binbin Huang China Binbin Huang's profile →
Citations per field
00.5×2.9×
Binbin Huang · 1×
Citations per year

Countries citing papers authored by Lior Yariv

Since Specialization
Citations

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

Fields of papers citing papers by Lior Yariv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Yariv

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 3
2
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesisbreakdown →
91
3
Multiview Neural Surface Reconstruction with Implicit Lighting and Material
6
4
Universal Differentiable Renderer for Implicit Neural Representations.
3
5
Controlling Neural Level Sets
5

About Lior Yariv

Lior Yariv is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 5 papers that have together received 108 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Geology (22 citations) and Computer Vision and Pattern Recognition (71 citations). Lior Yariv has collaborated with scholars based in Israel, Germany and United Kingdom. Frequent co-authors include Dor Verbin, Rick Szeliski, Pratul P. Srinivasan, Christian Reiser, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Yaron Lipman, Matan Atzmon and Ronen Basri. Their work appears in journals such as arXiv (Cornell University).

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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