Computers & Graphics

3.7k papers and 41.1k indexed citations i.

About

The 3.7k papers published in Computers & Graphics in the last decades have received a total of 41.1k indexed citations. Papers published in Computers & Graphics usually cover Computer Vision and Pattern Recognition (2.0k papers), Computer Graphics and Computer-Aided Design (1.5k papers) and Computational Mechanics (1.3k papers) specifically the topics of Computer Graphics and Visualization Techniques (1.4k papers), 3D Shape Modeling and Analysis (1.0k papers) and Advanced Vision and Imaging (622 papers). The most active scholars publishing in Computers & Graphics are Ja‐Chen Lin, Alexandre Boulch, Muhammad Sarfraz, Roberto Scopigno, Timothy S. Newman, Hong Yi, Dieter Schmalstieg, Paolo Cignoni, Juan E. Garrido and Ricardo Cartaxo Modesto de Souza.

In The Last Decade

Fields of papers published in Computers & Graphics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computers & Graphics. 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 Computers & Graphics.

Countries where authors publish in Computers & Graphics

Since Specialization
Citations

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