Haggai Maron

89 total papers · 1.8k total citations
16 papers, 658 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 658 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 6 papers in Artificial Intelligence. Recurrent topics in Haggai Maron's work include 3D Shape Modeling and Analysis (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Graph Neural Networks (3 papers). Haggai Maron is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Graph Neural Networks (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, Nadav Dym, Daniel Cohen‐Or, Amit H. Bermano, Or Patashnik, Rinon Gal, Meirav Galun, Ersin Yumer and Noam Aigerman 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

15 papers receiving 637 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Haggai Maron 433 276 181 121 98 16 658
Rongfei Jia 358 0.8× 185 0.7× 202 1.1× 283 2.3× 62 0.6× 17 722
Stephan R. Richter 420 1.0× 240 0.9× 152 0.8× 36 0.3× 114 1.2× 19 635
Kangxue Yin 463 1.1× 355 1.3× 354 2.0× 53 0.4× 75 0.8× 16 712
Yilun Du 388 0.9× 238 0.9× 218 1.2× 118 1.0× 56 0.6× 16 600
Amir Hertz 445 1.0× 307 1.1× 263 1.5× 80 0.7× 68 0.7× 12 722
Xiaoshuai Zhang 595 1.4× 221 0.8× 328 1.8× 38 0.3× 63 0.6× 19 761
Lee M. Seversky 227 0.5× 214 0.8× 143 0.8× 62 0.5× 143 1.5× 16 565
Mehdi S. M. Sajjadi 488 1.1× 129 0.5× 193 1.1× 167 1.4× 28 0.3× 16 707
Yi Wei 548 1.3× 181 0.7× 130 0.7× 94 0.8× 95 1.0× 31 790
Roee Litman 470 1.1× 362 1.3× 103 0.6× 61 0.5× 75 0.8× 15 607

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

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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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