Connor Z. Lin

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 493 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 Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (3 papers). Connor Z. Lin is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (3 papers). Connor Z. Lin collaborates with scholars based in United States. Connor Z. Lin's co-authors include Eric R. Chan, Gordon Wetzstein, Leonidas Guibas, Tero Karras, Koki Nagano, Sameh Khamis, Matthew A. Chan, Boxiao Pan, Shalini De Mello and Orazio Gallo 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

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

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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.

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).

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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