Yanir Kleiman

1.0k citations
15 papers · 683 indexed · 1 hit paper · h-index 9
Topics
Image Retrieval and Classification Techniques (6 papers)Medical Image Segmentation Techniques (5 papers)3D Shape Modeling and Analysis (5 papers)
Partner nations
IsraelCanadaSwitzerland

In The Last Decade

Yanir Kleiman

14 papers receiving 667 citations

Hit Papers

PCPNet Learning Local Shape Properties from Raw Point Clouds2018202620202023201850100150

Peers

Yanir Kleiman
Comparison fields: 5 of 59
  • Computational Mechanics 490
  • Computer Vision and Pattern Recognition 439
  • Computer Graphics and Computer-Aided Design 250
  • Geology 183
  • Environmental Engineering 84
Replace Minhyuk Sung with:
Minhyuk Sung South Korea
I‐Chao Shen Taiwan
Alexander Berner Germany
Melinos Averkiou Cyprus
Qiangeng Xu United States
Mutian Xu China
Minh-Khoi Tran Singapore
Rana Hanocka United States
Kangxue Yin Canada
Yanir Kleiman relative to Minhyuk Sung South Korea Minhyuk Sung's profile →
Citations per field
00.5×5.9×
Minhyuk Sung · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 1
4 8
5
PCPNet Learning Local Shape Properties from Raw Point Cloudsbreakdown →
198
6 21
7 4
8 14
9 19
10 86
11 16
12 135
13 169
14 8
15 1

About Yanir Kleiman

Yanir Kleiman is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 15 papers that have together received 683 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (250 citations), Geology (183 citations) and Computational Mechanics (490 citations). Yanir Kleiman has collaborated with scholars based in Israel, Canada and Switzerland. Frequent co-authors include Daniel Cohen‐Or, Oliver van Kaick, Hao Zhang, Maks Ovsjanikov, Paul Guerrero, Niloy J. Mitra, Noa Fish, Joel Lanir, Olga Sorkine‐Hornung and Yael Amsterdamer. Their work appears in journals such as ACM Transactions on Graphics, Theoretical Computer Science and Computer Graphics Forum.

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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