Matan Atzmon

810 total citations
5 papers, 56 citations indexed

About

Matan Atzmon is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Matan Atzmon has authored 5 papers receiving a total of 56 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 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Matan Atzmon's work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Vision and Imaging (2 papers). Matan Atzmon is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Vision and Imaging (2 papers). Matan Atzmon collaborates with scholars based in Israel and Canada. Matan Atzmon's co-authors include Sanja Fidler, Žan Gojčič, Jiahui Huang, Or Litany, FRANCIS H. WILLIAMS, Lior Yariv, Yaron Lipman, Sameh Khamis, Ronen Basri and Koki Nagano and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Matan Atzmon

5 papers receiving 55 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matan Atzmon Israel	4	37	30	22	12	11	5	56
Abdullah Hamdi Saudi Arabia	5	18 0.5×	15 0.5×	38 1.7×	10 0.8×	6 0.5×	10	66
Lior Yariv Israel	4	56 1.5×	70 2.3×	71 3.2×	22 1.8×	9 0.8×	5	108
Rahul Goel India	3	16 0.4×	18 0.6×	30 1.4×	8 0.7×	5 0.5×	6	56
Benjamin Eckart United States	3	30 0.8×	6 0.2×	27 1.2×	30 2.5×	17 1.5×	4	56
Christine Allen-Blanchette United States	3	32 0.9×	7 0.2×	44 2.0×	16 1.3×	3 0.3×	5	73
Urs Bergmann Germany	3	35 0.9×	45 1.5×	84 3.8×	6 0.5×	2 0.2×	5	100
Yajie Yan United States	6	93 2.5×	88 2.9×	61 2.8×	10 0.8×	5 0.5×	13	132
Spencer W. Thomas United States	4	21 0.6×	36 1.2×	22 1.0×	3 0.3×	3 0.3×	7	56

Countries citing papers authored by Matan Atzmon

Since Specialization

Citations

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

Fields of papers citing papers by Matan Atzmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matan Atzmon

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Huang, Jiahui, Žan Gojčič, Matan Atzmon, et al.. (2023). Neural Kernel Surface Reconstruction. 4369–4379. 38 indexed citations

2.

Atzmon, Matan, Koki Nagano, Sanja Fidler, Sameh Khamis, & Yaron Lipman. (2022). Frame Averaging for Equivariant Shape Space Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 621–631. 4 indexed citations

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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