Lyne P. Tchapmi

924 citations
4 papers · 499 indexed · 1 hit paper · h-index 4
Topics
3D Shape Modeling and Analysis (2 papers)3D Surveying and Cultural Heritage (1 paper)Advanced Image and Video Retrieval Techniques (1 paper)
Journals
Applied Energy2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Partner nations
United StatesAustralia

In The Last Decade

Lyne P. Tchapmi

4 papers receiving 486 citations

Hit Papers

TopNet: Structural Point Cloud Decoder20192026202120232019100200300

Peers

Lyne P. Tchapmi
Comparison fields: 5 of 67
  • Computational Mechanics 255
  • Computer Vision and Pattern Recognition 198
  • Geology 169
  • Computer Graphics and Computer-Aided Design 137
  • Environmental Engineering 101
Replace Minh-Khoi Tran with:
Minh-Khoi Tran Singapore
Tianxin Huang China
Chaoda Zheng China
Zuozhuo Dai Canada
Xianzhi Li China
Mutian Xu China
Julie Digne France
Philipp Jenke Germany
Michal Jančošek Czechia
Lyne P. Tchapmi relative to Minh-Khoi Tran Singapore Minh-Khoi Tran's profile →
Citations per field
00.5×1.5×
Minh-Khoi Tran · 1×
Citations per year

Countries citing papers authored by Lyne P. Tchapmi

Since Specialization
Citations

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

Fields of papers citing papers by Lyne P. Tchapmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyne P. Tchapmi. 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 Lyne P. Tchapmi. The network helps show where Lyne P. Tchapmi may publish in the future.

Co-authorship network of co-authors of Lyne P. Tchapmi

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

All Works

About Lyne P. Tchapmi

Lyne P. Tchapmi is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 499 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (2 papers), 3D Surveying and Cultural Heritage (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (137 citations), Geology (169 citations) and Computational Mechanics (255 citations). Lyne P. Tchapmi has collaborated with scholars based in United States and Australia. Frequent co-authors include Silvio Savarese, Hamid Rezatofighi, Vineet Kosaraju, Ian Reid, Mike McGuire, Jingfan Wang, Clay Bell, Arvind Ravikumar, Adam R. Brandt and Roberto Martín-Martín. Their work appears in journals such as Applied Energy and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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