Graphical Models

637 papers and 8.2k indexed citations

About

The 637 papers published in Graphical Models in the last decades have received a total of 8.2k indexed citations. Papers published in Graphical Models usually cover Computational Mechanics (369 papers), Computer Graphics and Computer-Aided Design (341 papers) and Computer Vision and Pattern Recognition (335 papers) specifically the topics of 3D Shape Modeling and Analysis (281 papers), Computer Graphics and Visualization Techniques (280 papers) and Advanced Numerical Analysis Techniques (184 papers). The most active scholars publishing in Graphical Models are Falai Chen, Norman I. Badler, Andreas Aristidou, Joan Lasenby, Ambarish Goswami, Steve Oudot, Jean‐Daniel Boissonnat, Hans‐Peter Seidel, Ron Goldman and Hong Qin.

In The Last Decade

Graphical Models

576 papers receiving 7.7k citations

Fields of papers published in Graphical Models

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Graphical Models. 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 Graphical Models.

Countries where authors publish in Graphical Models

Since Specialization
Citations

This map shows the geographic impact of research published in Graphical Models. 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 Graphical Models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphical Models 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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