Lior Yariv

872 total citations · 1 hit paper
5 papers, 108 citations indexed

About

Lior Yariv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Lior Yariv has authored 5 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Lior Yariv's work include Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers) and Advanced Vision and Imaging (3 papers). Lior Yariv is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers) and Advanced Vision and Imaging (3 papers). Lior Yariv collaborates with scholars based in Israel, Germany and United Kingdom. Lior Yariv's co-authors include Jonathan T. Barron, Pratul P. Srinivasan, Dor Verbin, Peter Hedman, Ben Mildenhall, Rick Szeliski, Christian Reiser, Yaron Lipman, Matan Atzmon and Ronen Basri and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Lior Yariv

5 papers receiving 107 citations

Hit Papers

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lior Yariv Israel 4 71 70 56 22 9 5 108
Binbin Huang China 2 85 1.2× 50 0.7× 39 0.7× 19 0.9× 11 1.2× 4 137
Yajie Yan United States 6 61 0.9× 88 1.3× 93 1.7× 10 0.5× 5 0.6× 13 132
Matan Atzmon Israel 4 22 0.3× 30 0.4× 37 0.7× 12 0.5× 11 1.2× 5 56
Duygu Ceylan United States 5 129 1.8× 36 0.5× 22 0.4× 27 1.2× 13 1.4× 11 150
Daeyun Shin United States 3 126 1.8× 47 0.7× 87 1.6× 46 2.1× 15 1.7× 5 166
Matt Whalen United States 3 173 2.4× 105 1.5× 34 0.6× 8 0.4× 6 0.7× 3 189
Urs Bergmann Germany 3 84 1.2× 45 0.6× 35 0.6× 6 0.3× 2 0.2× 5 100
Michael Oechsle Germany 3 104 1.5× 63 0.9× 94 1.7× 11 0.5× 3 0.3× 4 143
Ramesh Ashok Tabib India 7 131 1.8× 14 0.2× 36 0.6× 39 1.8× 26 2.9× 28 166
Geoffrey Oxholm United States 5 197 2.8× 82 1.2× 27 0.5× 39 1.8× 2 0.2× 8 213

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
1.
Yariv, Lior, et al.. (2024). Mosaic-SDF for 3D Generative Models. 4630–4639. 3 indexed citations
2.
Yariv, Lior, Peter Hedman, Christian Reiser, et al.. (2023). BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis. 1–9. 91 indexed citations breakdown →
3.
Yariv, Lior, Yoni Kasten, Dror Moran, et al.. (2020). Multiview Neural Surface Reconstruction with Implicit Lighting and Material. arXiv (Cornell University). 6 indexed citations
4.
Yariv, Lior, Matan Atzmon, & Yaron Lipman. (2020). Universal Differentiable Renderer for Implicit Neural Representations.. 3 indexed citations
5.
Atzmon, Matan, et al.. (2019). Controlling Neural Level Sets. arXiv (Cornell University). 32. 2032–2041. 5 indexed citations

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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