Ashim Garg

About

Ashim Garg is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ashim Garg has authored 12 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Graphics and Computer-Aided Design, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Ashim Garg’s work include Computational Geometry and Mesh Generation (9 papers), Graph Theory and Algorithms (5 papers) and Data Visualization and Analytics (4 papers). Ashim Garg is often cited by papers focused on Computational Geometry and Mesh Generation (9 papers), Graph Theory and Algorithms (5 papers) and Data Visualization and Analytics (4 papers). Ashim Garg collaborates with scholars based in United States and Italy. Ashim Garg's co-authors include Roberto Tamassia, Adrian Rusu, Francesco Vargiu, Giuseppe Di Battista, Giuseppe Liotta and Michael T. Goodrich and has published in prestigious journals such as SIAM Journal on Computing, Lecture notes in computer science and Discrete Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Ashim Garg i

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Fields of papers citing papers by Ashim Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashim Garg. 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 Ashim Garg. The network helps show where Ashim Garg may publish in the future.

Countries citing papers authored by Ashim Garg

Since Specialization

Citations

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