Shyam Sankaran

423 total citations · 1 hit paper
2 papers, 120 citations indexed

About

Shyam Sankaran is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Shyam Sankaran has authored 2 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Statistical and Nonlinear Physics, 1 paper in Mechanics of Materials and 1 paper in Computational Mechanics. Recurrent topics in Shyam Sankaran's work include Numerical methods in engineering (1 paper), Fluid Dynamics and Turbulent Flows (1 paper) and Model Reduction and Neural Networks (1 paper). Shyam Sankaran is often cited by papers focused on Numerical methods in engineering (1 paper), Fluid Dynamics and Turbulent Flows (1 paper) and Model Reduction and Neural Networks (1 paper). Shyam Sankaran collaborates with scholars based in United States. Shyam Sankaran's co-authors include Sifan Wang and Paris Perdikaris and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Shyam Sankaran

1 paper receiving 114 citations

Hit Papers

Respecting causality for training physics-informed neural... 2024 2026 2025 2024 40 80 120

Peers

Shyam Sankaran
Niccolò Dal Santo Switzerland
Zachary M. Prince United States
Pablo Fernández United States
Mohammad Rafi Malik Saudi Arabia
Niklas Fehn Germany
Shyam Sankaran
Citations per year, relative to Shyam Sankaran Shyam Sankaran (= 1×) peers Dragos B. Chirila

Countries citing papers authored by Shyam Sankaran

Since Specialization
Citations

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

Fields of papers citing papers by Shyam Sankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shyam Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of Shyam Sankaran. A scholar is included among the top collaborators of Shyam Sankaran 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 Shyam Sankaran. Shyam Sankaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Wang, Sifan, et al.. (2025). Micrometer: Micromechanics transformer for predicting full field mechanical responses of heterogeneous materials. Computer Methods in Applied Mechanics and Engineering. 448. 118373–118373.
2.
Wang, Sifan, Shyam Sankaran, & Paris Perdikaris. (2024). Respecting causality for training physics-informed neural networks. Computer Methods in Applied Mechanics and Engineering. 421. 116813–116813. 120 indexed citations breakdown →

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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