Ashutosh Garg

About

Ashutosh Garg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ashutosh Garg has authored 14 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ashutosh Garg’s work include Face and Expression Recognition (4 papers), Machine Learning and Algorithms (3 papers) and Algorithms and Data Compression (2 papers). Ashutosh Garg is often cited by papers focused on Face and Expression Recognition (4 papers), Machine Learning and Algorithms (3 papers) and Algorithms and Data Compression (2 papers). Ashutosh Garg collaborates with scholars based in United States, India and The Netherlands. Ashutosh Garg's co-authors include Nicu Sebe, Ira L. Cohen, Thomas S. Huang, Eric Horvitz, Nuria Oliver, Dan Roth, Simon Kasif, Vladimir Pavlović, Sariel Har-Peled and T. S. Jayram and has published in prestigious journals such as Bioinformatics, Computer Vision and Image Understanding and Annals of Mathematics and Artificial Intelligence.

In The Last Decade

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

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Fields of papers citing papers by Ashutosh Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ashutosh Garg

Since Specialization

Citations

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