ACM Transactions on Graphics

5.4k papers and 299.2k indexed citations i.

About

The 5.4k papers published in ACM Transactions on Graphics in the last decades have received a total of 299.2k indexed citations. Papers published in ACM Transactions on Graphics usually cover Computer Vision and Pattern Recognition (3.2k papers), Computer Graphics and Computer-Aided Design (3.0k papers) and Computational Mechanics (2.5k papers) specifically the topics of Computer Graphics and Visualization Techniques (2.7k papers), 3D Shape Modeling and Analysis (2.0k papers) and Advanced Vision and Imaging (1.6k papers). The most active scholars publishing in ACM Transactions on Graphics are Raanan Fattal, Daniel Cohen‐Or, Frédo Durand, Hugues Hoppe, Ravi Ramamoorthi, Richard Szeliski, Andrew Blake, Dani Lischinski, Markus Groß and Leonidas Guibas.

In The Last Decade

Fields of papers published in ACM Transactions on Graphics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on 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 ACM Transactions on Graphics.

Countries where authors publish in ACM Transactions on Graphics

Since Specialization
Citations

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