Deep Ray

20 papers and 665 indexed citations
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About

Deep Ray is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deep Ray has authored 20 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 10 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deep Ray’s work include Model Reduction and Neural Networks (14 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Deep Ray is often cited by papers focused on Model Reduction and Neural Networks (14 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Deep Ray collaborates with scholars based in United States, Switzerland and India. Deep Ray's co-authors include Jan S. Hesthaven, Qian Wang, Siddhartha Mishra, Praveen Chandrashekar, Assad A. Oberai, Dhruv Patel, Christian Rohde, Ulrik Skre Fjordholm, Béatrice Rivière and E. A. Johnson and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Co-authorship network of co-authors of Deep Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Deep Ray. A scholar is included among the top collaborators of Deep Ray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deep Ray. Deep Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Deep Ray

20 papers receiving 599 citations

Fields of papers citing papers by Deep Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deep Ray

Since Specialization
Citations

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