Connor Z. Lin

11 total papers · 1.2k total citations
4 papers, 708 citations indexed

About

Connor Z. Lin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Connor Z. Lin has authored 4 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Connor Z. Lin's work include Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Connor Z. Lin is often cited by papers focused on Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Connor Z. Lin collaborates with scholars based in United States. Connor Z. Lin's co-authors include Gordon Wetzstein, Eric R. Chan, Shalini De Mello, Boxiao Pan, Matthew A. Chan, Koki Nagano, Leonidas Guibas, Sameh Khamis, Orazio Gallo and Tero Karras and has published in prestigious journals such as ACM Transactions on Graphics, ACM Transactions on Applied Perception and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Connor Z. Lin

4 papers receiving 696 citations

Hit Papers

Efficient Geometry-aware ... 2022 2026 2023 2024 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Connor Z. Lin 571 338 319 49 45 4 708
Matthew A. Chan 539 0.9× 325 1.0× 296 0.9× 53 1.1× 35 0.8× 4 659
Eric R. Chan 669 1.2× 407 1.2× 373 1.2× 62 1.3× 48 1.1× 8 849
Tom Davis 362 0.6× 357 1.1× 280 0.9× 48 1.0× 47 1.0× 10 828
Boxiao Pan 717 1.3× 292 0.9× 281 0.9× 52 1.1× 115 2.6× 9 836
Craig Kolb 414 0.7× 483 1.4× 219 0.7× 26 0.5× 47 1.0× 7 701
James Bigler 430 0.8× 562 1.7× 357 1.1× 35 0.7× 24 0.5× 9 892
Gabriel Schwartz 667 1.2× 405 1.2× 371 1.2× 55 1.1× 23 0.5× 12 813
Vickie Ye 743 1.3× 442 1.3× 330 1.0× 35 0.7× 26 0.6× 6 876
Amir Hertz 445 0.8× 263 0.8× 307 1.0× 46 0.9× 80 1.8× 12 722
Anpei Chen 603 1.1× 360 1.1× 280 0.9× 22 0.4× 23 0.5× 14 682

Countries citing papers authored by Connor Z. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Connor Z. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor Z. Lin. 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 Connor Z. Lin. The network helps show where Connor Z. Lin may publish in the future.

Co-authorship network of co-authors of Connor Z. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Connor Z. Lin. A scholar is included among the top collaborators of Connor Z. Lin 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 Connor Z. Lin. Connor Z. Lin 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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