Haggai Maron

1.8k total citations · 1 hit paper
16 papers, 670 citations indexed

About

Haggai Maron is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Haggai Maron has authored 16 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Haggai Maron's work include 3D Shape Modeling and Analysis (5 papers), Advanced Graph Neural Networks (4 papers) and Human Pose and Action Recognition (3 papers). Haggai Maron is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Advanced Graph Neural Networks (4 papers) and Human Pose and Action Recognition (3 papers). Haggai Maron collaborates with scholars based in Israel, United Kingdom and United States. Haggai Maron's co-authors include Gal Chechik, Yaron Lipman, Or Patashnik, Amit H. Bermano, Rinon Gal, Nadav Dym, Daniel Cohen‐Or, Noam Aigerman, Vladimir G. Kim and Ersin Yumer and has published in prestigious journals such as ACM Transactions on Graphics, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Haggai Maron

16 papers receiving 649 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

StyleGAN-NADA

2022 269 citations Rinon Gal, Or Patashnik et al. ACM Transactions on Graphics profile →

Peers

Haggai Maron

CVPR

CM

CGCD

AI

GEOLO

Yilun Du United States

Pengfei Wan China

Zhixin Shu United States

Cengiz Öztireli Switzerland

Luca Cosmo Italy

Marcin Novotni Germany

Abhishek Kar United States

Guocheng Qian Saudi Arabia

Vincent Casser United States

Ding‐Yun Chen Taiwan

Yilun Du United States

Haggai Maron

391 ×0.9

CVPR

245 ×0.9

CM

221 ×1.2

CGCD

120 ×1.0

AI

58 ×0.6

GEOLO

Citations per year, relative to Haggai Maron Haggai Maron (= 1×) peers Yilun Du

Countries citing papers authored by Haggai Maron

Since Specialization

Citations

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

Fields of papers citing papers by Haggai Maron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haggai Maron

This figure shows the co-authorship network connecting the top 25 collaborators of Haggai Maron. A scholar is included among the top collaborators of Haggai Maron 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 Haggai Maron. Haggai Maron 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:

16 of 16 papers shown

1.

Frasca, Fabrizio, et al.. (2024). A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening. 101168–101222. 1 indexed citations

2.

Gal, Rinon, Or Patashnik, Haggai Maron, et al.. (2022). StyleGAN-NADA. ACM Transactions on Graphics. 41(4). 1–13. 269 indexed citations breakdown →

3.

Dym, Nadav & Haggai Maron. (2021). On the Universality of Rotation Equivariant Point Cloud Networks. International Conference on Learning Representations. 1 indexed citations

4.

Fetaya, Ethan, et al.. (2021). On Size Generalization in Graph Neural Networks. arXiv (Cornell University). 1 indexed citations

5.

Maron, Haggai, et al.. (2021). Self-Supervised Learning for Domain Adaptation on Point Clouds. 123–133. 101 indexed citations

6.

Maron, Haggai, Or Litany, Gal Chechik, & Ethan Fetaya. (2021). On Learning Sets of Symmetric Elements (Extended Abstract). 4794–4798. 5 indexed citations

7.

Shlomi, J., et al.. (2020). Set2Graph: Learning Graphs From Sets. arXiv (Cornell University). 33. 22080–22091. 1 indexed citations

8.

Maron, Haggai, Or Litany, Gal Chechik, & Ethan Fetaya. (2020). On Learning Sets of Symmetric Elements. International Conference on Machine Learning. 1. 6734–6744. 8 indexed citations

9.

Galun, Meirav, et al.. (2020). Learning Algebraic Multigrid Using Graph Neural Networks. 1. 6489–6499. 2 indexed citations

10.

Atzmon, Matan, et al.. (2019). Controlling Neural Level Sets. arXiv (Cornell University). 32. 2032–2041. 5 indexed citations

11.

Maron, Haggai, et al.. (2018). Invariant and Equivariant Graph Networks. arXiv (Cornell University). 19 indexed citations

12.

Maron, Haggai & Yaron Lipman. (2018). (Probably) Concave Graph Matching. arXiv (Cornell University). 31. 406–416. 4 indexed citations

13.

Dym, Nadav, Haggai Maron, & Yaron Lipman. (2017). DS++. ACM Transactions on Graphics. 36(6). 1–14. 38 indexed citations

14.

Maron, Haggai, Meirav Galun, Noam Aigerman, et al.. (2017). Convolutional neural networks on surfaces via seamless toric covers. ACM Transactions on Graphics. 36(4). 1–10. 134 indexed citations

15.

Levin, Anat, et al.. (2016). Passive light and viewpoint sensitive display of 3D content. Zenodo (CERN European Organization for Nuclear Research). 1–15. 6 indexed citations

16.

Maron, Haggai, et al.. (2016). Point registration via efficient convex relaxation. ACM Transactions on Graphics. 35(4). 1–12. 75 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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