Lior Yariv

13 total papers · 524 total citations
5 papers, 106 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 106 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 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Lior Yariv is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Lior Yariv collaborates with scholars based in Israel, Germany and United States. Lior Yariv's co-authors include Dor Verbin, Pratul P. Srinivasan, Rick Szeliski, Christian Reiser, Jonathan T. Barron, Peter Hedman, Ben Mildenhall, Yaron Lipman, Matan Atzmon and Yoni Kasten and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Lior Yariv

5 papers receiving 106 citations

Hit Papers

BakedSDF: Meshing Neural ... 2023 2026 2024 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
    2023 89 citations Lior Yariv, Peter Hedman et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lior Yariv 70 69 56 21 9 5 106
Binbin Huang 45 0.6× 77 1.1× 35 0.6× 17 0.8× 20 2.2× 4 116
Michael Oechsle 61 0.9× 102 1.5× 92 1.6× 11 0.5× 12 1.3× 4 138
Yawar Siddiqui 128 1.8× 155 2.2× 126 2.3× 31 1.5× 16 1.8× 8 226
Alexander W. Bergman 42 0.6× 77 1.1× 30 0.5× 7 0.3× 11 1.2× 6 113
Matan Atzmon 29 0.4× 21 0.3× 36 0.6× 12 0.6× 7 0.8× 5 54
Tomáš Jakab 30 0.4× 95 1.4× 47 0.8× 13 0.6× 16 1.8× 9 121
Guanjun Wu 69 1.0× 134 1.9× 57 1.0× 14 0.7× 25 2.8× 8 250
Christian Reiser 143 2.0× 155 2.2× 105 1.9× 31 1.5× 17 1.9× 5 226
Oscar Michel 95 1.4× 149 2.2× 96 1.7× 32 1.5× 19 2.1× 2 225
Aravind Kalaiah 119 1.7× 109 1.6× 113 2.0× 9 0.4× 10 1.1× 6 216

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

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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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