Joseph G. Lambourne

672 total citations · 1 hit paper
11 papers, 349 citations indexed

About

Joseph G. Lambourne is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joseph G. Lambourne has authored 11 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 6 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joseph G. Lambourne's work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (5 papers) and Manufacturing Process and Optimization (4 papers). Joseph G. Lambourne is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (5 papers) and Manufacturing Process and Optimization (4 papers). Joseph G. Lambourne collaborates with scholars based in United States, Canada and South Korea. Joseph G. Lambourne's co-authors include Hang Chu, Aditya Sanghi, Karl D. D. Willis, Chin-Yi Cheng, Ye Wang, Yewen Pu, Pradeep Kumar Jayaraman, Wojciech Matusik, Armando Solar-Lezama and Jieliang Luo and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Computing and Information Science in Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Joseph G. Lambourne

11 papers receiving 336 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

2022 130 citations Aditya Sanghi, Hang Chu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Countries citing papers authored by Joseph G. Lambourne

Since Specialization

Citations

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

Fields of papers citing papers by Joseph G. Lambourne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph G. Lambourne. 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 Joseph G. Lambourne. The network helps show where Joseph G. Lambourne may publish in the future.

Co-authorship network of co-authors of Joseph G. Lambourne

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry 2024 ·ACM Transactions on Graphics ·(unknown), Joseph G. Lambourne, Pradeep Kumar Jayaraman, (unknown), Karl D. D. Willis, Yasutaka Furukawa	17
2	What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files 2023 ·Journal of Computing and Information Science in Engineering ·Peter C. Meltzer, Joseph G. Lambourne, (unknown)	8
3	CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation breakdown → 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, (unknown), (unknown)	130
4	JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, (unknown), Aditya Sanghi, (unknown), Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik	36
5	Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·(unknown), (unknown), Minhyuk Sung, (unknown), Joseph G. Lambourne, Tolga Birdal, Leonidas Guibas	30
6	Fusion 360 gallery 2021 ·ACM Transactions on Graphics ·Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik	81
7	Fusion 360 gallery 2021 ·ACM Transactions on Graphics ·Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik	2
8	Engineering Sketch Generation for Computer-Aided Design 2021 ·Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu	35
9	UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Peter C. Meltzer, (unknown), Amir Hosein Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne	2
10	UV-Net: Learning from Curve-Networks and Solids. 2020 ·Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, (unknown), (unknown), (unknown)	5
11	Calculation and visualisation of the thickness of 3D CAD models 2006 ·Joseph G. Lambourne, Z. Djurić, Djordje Brujić, Mihailo Ristic	3

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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