International Journal of Computational Geometry & Applications

8.3k citations

634 papers · indexed · active since 1950

Computer Graphics and Computer-Aided Design top 0.5%
Computer Vision and Pattern Recognition top 5%
Computational Mechanics top 10%
Signal Processing top 5%
Computational Theory and Mathematics top 10%

Fields: Computer Graphics and Computer-Aided Design (511 papers)Computer Vision and Pattern Recognition (225 papers)Industrial and Manufacturing Engineering (106 papers)
Topics: Computational Geometry and Mesh GenerationAdvanced Numerical Analysis TechniquesData Management and Algorithms
Top scholars: Helmut Alt Michael Godau Leonidas Guibas Joseph S. B. Mitchell Pascal Lienhardt David M. Mount David Eppstein Joseph O’Rourke

In The Last Decade

International Journal of Computational Geometry & Applications

592 papers receiving 7.5k citations

Peers

Replace Graphical Models with:

Graphical Models China

ACM Transactions on Algorithms United States

Integrated Computer-Aided Engineering United States

Journal of Visual Languages & Computing United States

SIAM Journal on Imaging Sciences United States

EURASIP Journal on Image and Video Processing China

The International Journal of High Performance Computing Applications United States

Cartographica The International Journal for Geographic Information and Geovisualization United States

Journal of Computational Design and Engineering China

Information Visualization United States

International Journal of Computational Geometry & Applications relative to Graphical Models China Graphical Models's profile →

Citations per field

00.5×2×4×6.7×

Graphical Models · 1×

×1.3 4k/3k

CGCD

×0.7 3k/5k

CVPR

×0.5 2k/4k

CM

×6.7 1k/220

SP

×2.7 1k/467

CTM

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Countries where authors publish in International Journal of Computational Geometry & Applications

Since Specialization

Citations

This map shows the geographic impact of research published in International Journal of Computational Geometry & Applications. 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 papers published in International Journal of Computational Geometry & Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Computational Geometry & Applications more than expected).

Fields of papers published in International Journal of Computational Geometry & Applications

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Computational Geometry & Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Journal of Computational Geometry & Applications.

About International Journal of Computational Geometry & Applications

The 634 papers published in International Journal of Computational Geometry & Applications in the last decades have received a total of 8.3k indexed citations . Papers published in International Journal of Computational Geometry & Applications usually cover Computer Graphics and Computer-Aided Design (511 papers), Computer Vision and Pattern Recognition (225 papers) and Industrial and Manufacturing Engineering (106 papers) specifically the topics of Computational Geometry and Mesh Generation (498 papers), Advanced Numerical Analysis Techniques (127 papers) and Data Management and Algorithms (109 papers). The most active scholars publishing in International Journal of Computational Geometry & Applications are Helmut Alt, Michael Godau, Leonidas Guibas, Joseph S. B. Mitchell, Pascal Lienhardt, David M. Mount, David Eppstein, Joseph O’Rourke, Olivier Devillers and Tamal K. Dey.

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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