Yanir Kleiman

1.0k total citations · 1 hit paper
15 papers, 683 citations indexed

About

Yanir Kleiman is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yanir Kleiman has authored 15 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yanir Kleiman's work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers) and 3D Shape Modeling and Analysis (5 papers). Yanir Kleiman is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers) and 3D Shape Modeling and Analysis (5 papers). Yanir Kleiman collaborates with scholars based in Israel, Canada and Switzerland. Yanir Kleiman's co-authors include Daniel Cohen‐Or, Oliver van Kaick, Hao Zhang, Paul Guerrero, Maks Ovsjanikov, Niloy J. Mitra, Noa Fish, Joel Lanir, Olga Sorkine‐Hornung and Yael Amsterdamer and has published in prestigious journals such as ACM Transactions on Graphics, Theoretical Computer Science and Computer Graphics Forum.

In The Last Decade

Yanir Kleiman

14 papers receiving 667 citations

Hit Papers

PCPNet Learning Local Sha... 2018 2026 2020 2023 2018 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yanir Kleiman 490 439 250 183 84 15 683
Melinos Averkiou 370 0.8× 307 0.7× 178 0.7× 168 0.9× 78 0.9× 16 517
Minhyuk Sung 471 1.0× 370 0.8× 206 0.8× 266 1.5× 113 1.3× 31 695
Rana Hanocka 404 0.8× 308 0.7× 235 0.9× 121 0.7× 50 0.6× 22 604
Kangxue Yin 363 0.7× 467 1.1× 361 1.4× 75 0.4× 44 0.5× 16 725
Alexander Berner 262 0.5× 394 0.9× 176 0.7× 148 0.8× 76 0.9× 15 578
Henry Johan 465 0.9× 621 1.4× 244 1.0× 118 0.6× 27 0.3× 69 791
Qiangeng Xu 328 0.7× 537 1.2× 232 0.9× 187 1.0× 141 1.7× 7 771
I‐Chao Shen 629 1.3× 457 1.0× 275 1.1× 429 2.3× 200 2.4× 39 930
Mutian Xu 332 0.7× 190 0.4× 125 0.5× 252 1.4× 160 1.9× 10 516

Countries citing papers authored by Yanir Kleiman

Since Specialization
Citations

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

Fields of papers citing papers by Yanir Kleiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanir Kleiman

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

All Works

15 of 15 papers shown
1.
Gafni, Oran, Yanir Kleiman, Natalia Neverova, et al.. (2024). Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. 9532–9564.
2.
Шаповалов, Роман, Yanir Kleiman, Ignacio Rocco, et al.. (2023). Replay: Multi-modal Multi-view Acted Videos for Casual Holography. 20281–20291. 3 indexed citations
3.
Kleiman, Yanir, et al.. (2019). Boosting VFX production with deep learning. 1–2. 1 indexed citations
4.
Kleiman, Yanir, et al.. (2018). Dance to the beat: Synchronizing motion to audio. Computational Visual Media. 4(3). 197–208. 8 indexed citations
5.
Guerrero, Paul, Yanir Kleiman, Maks Ovsjanikov, & Niloy J. Mitra. (2018). PCPNet Learning Local Shape Properties from Raw Point Clouds. Computer Graphics Forum. 37(2). 75–85. 198 indexed citations breakdown →
6.
Kleiman, Yanir, et al.. (2016). Time-varying weathering in texture space. ACM Transactions on Graphics. 35(4). 1–11. 21 indexed citations
7.
Kleiman, Yanir, et al.. (2016). Toward semantic image similarity from crowdsourced clustering. The Visual Computer. 32(6-8). 1045–1055. 4 indexed citations
8.
Kleiman, Yanir, et al.. (2015). DynamicMaps. 995–1004. 14 indexed citations
9.
Kleiman, Yanir, Oliver van Kaick, Olga Sorkine‐Hornung, & Daniel Cohen‐Or. (2015). SHED. ACM Transactions on Graphics. 34(6). 1–11. 19 indexed citations
10.
Kaick, Oliver van, et al.. (2014). Shape Segmentation by Approximate Convexity Analysis. ACM Transactions on Graphics. 34(1). 1–11. 86 indexed citations
11.
Kleiman, Yanir, Noa Fish, Joel Lanir, & Daniel Cohen‐Or. (2013). Dynamic Maps for Exploring and Browsing Shapes. Computer Graphics Forum. 32(5). 187–196. 16 indexed citations
12.
13.
Kaick, Oliver van, et al.. (2011). Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering. ACM Transactions on Graphics. 30(6). 1–10. 135 indexed citations
14.
Kaick, Oliver van, et al.. (2011). Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering. 1–10. 169 indexed citations
15.
Epstein, Leah, Yanir Kleiman, Jiřı́ Sgall, & Rob van Stee. (2007). Paging with connections: FIFO strikes again. Theoretical Computer Science. 377(1-3). 55–64. 1 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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