Siddhartha Mishra

5.5k total citations · 1 hit paper
129 papers, 3.5k citations indexed

About

Siddhartha Mishra is a scholar working on Computational Mechanics, Applied Mathematics and Atmospheric Science. According to data from OpenAlex, Siddhartha Mishra has authored 129 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computational Mechanics, 35 papers in Applied Mathematics and 20 papers in Atmospheric Science. Recurrent topics in Siddhartha Mishra's work include Computational Fluid Dynamics and Aerodynamics (52 papers), Fluid Dynamics and Turbulent Flows (49 papers) and Navier-Stokes equation solutions (21 papers). Siddhartha Mishra is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (52 papers), Fluid Dynamics and Turbulent Flows (49 papers) and Navier-Stokes equation solutions (21 papers). Siddhartha Mishra collaborates with scholars based in Switzerland, United States and Norway. Siddhartha Mishra's co-authors include Roberto Molinaro, Ulrik Skre Fjordholm, Eitan Tadmor, T. DebRoy, Roger Käppeli, Adimurthi, G. D. Veerappa Gowda, Deep Ray, Nils Henrik Risebro and Jonas Šukys and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Applied Physics.

In The Last Decade

Siddhartha Mishra

122 papers receiving 3.2k citations

Hit Papers

Estimates on the generalization error of physics-informed... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Estimates on the generalization error of physics-informed neural networks for approximating a class of inverse problems for PDEs
    2021 206 citations Siddhartha Mishra, Roberto Molinaro profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Siddhartha Mishra Switzerland 33 1.6k 749 684 649 310 129 3.5k
Zhiping Mao United States 18 927 0.6× 1.6k 2.1× 306 0.4× 216 0.3× 397 1.3× 37 3.1k
David E. Keyes Saudi Arabia 33 2.7k 1.7× 468 0.6× 202 0.3× 236 0.4× 502 1.6× 233 5.1k
M. Y. Hussaini United States 18 2.8k 1.7× 586 0.8× 375 0.5× 601 0.9× 818 2.6× 41 6.4k
Tobin A. Driscoll United States 29 1.9k 1.2× 459 0.6× 239 0.3× 319 0.5× 772 2.5× 78 4.0k
José M. Vega Spain 29 1.5k 0.9× 1.0k 1.4× 235 0.3× 217 0.3× 98 0.3× 152 2.7k
Olivier Pironneau France 36 4.3k 2.6× 392 0.5× 317 0.5× 683 1.1× 1.1k 3.5× 153 6.1k
David W. Zingg Canada 37 3.9k 2.4× 571 0.8× 146 0.2× 536 0.8× 213 0.7× 246 5.0k
A. H. Nayfeh United States 17 996 0.6× 790 1.1× 490 0.7× 150 0.2× 625 2.0× 42 4.4k
Jan Nordström Sweden 35 3.8k 2.3× 358 0.5× 142 0.2× 456 0.7× 446 1.4× 220 4.8k
Taku Nonomura Japan 35 3.3k 2.1× 328 0.4× 295 0.4× 365 0.6× 150 0.5× 325 4.7k

Countries citing papers authored by Siddhartha Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Siddhartha Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddhartha Mishra

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

All Works

20 of 20 papers shown
1.
Mishra, Siddhartha, et al.. (2025). Universal approximation theorem for nonlinear resistive networks. Physical Review Applied. 23(4).
2.
3.
Mishra, Siddhartha, et al.. (2025). Resolving data bias improves generalization in binding affinity prediction. Nature Machine Intelligence. 7(10). 1713–1725. 1 indexed citations
4.
Heinlein, Alexander, et al.. (2025). Overlapping Schwarz preconditioners for randomized neural networks with domain decomposition. Computer Methods in Applied Mechanics and Engineering. 442. 118011–118011. 1 indexed citations
5.
Shahvandi, Mostafa Kiani, Siddhartha Mishra, & Benedikt Soja. (2024). Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids. Computers & Geosciences. 196. 105818–105818. 4 indexed citations
6.
Shahvandi, Mostafa Kiani, Santiago Belda, Siddhartha Mishra, & Benedikt Soja. (2024). Short-term prediction of celestial pole offsets with interpretable machine learning. Earth Planets and Space. 76(1). 6 indexed citations
7.
Shahvandi, Mostafa Kiani, Surendra Adhikari, Mathieu Dumberry, et al.. (2024). Contributions of core, mantle and climatological processes to Earth’s polar motion. Nature Geoscience. 17(7). 705–710. 17 indexed citations
8.
Shahvandi, Mostafa Kiani, Siddhartha Mishra, & Benedikt Soja. (2024). BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day. Earth Planets and Space. 76(1). 8 indexed citations
9.
Molinaro, Roberto, et al.. (2024). Phase-field modeling of fracture with physics-informed deep learning. Computer Methods in Applied Mechanics and Engineering. 429. 117104–117104. 27 indexed citations
10.
Kissas, Georgios, Siddhartha Mishra, Eleni Chatzi, & Laura De Lorenzis. (2024). The language of hyperelastic materials. Computer Methods in Applied Mechanics and Engineering. 428. 117053–117053. 12 indexed citations
11.
Fjordholm, Ulrik Skre, et al.. (2024). On the Vanishing Viscosity Limit of Statistical Solutions of the Incompressible Navier–Stokes Equations. SIAM Journal on Mathematical Analysis. 56(4). 5099–5143. 2 indexed citations
12.
Shahvandi, Mostafa Kiani, Surendra Adhikari, Mathieu Dumberry, Siddhartha Mishra, & Benedikt Soja. (2024). The increasingly dominant role of climate change on length of day variations. Proceedings of the National Academy of Sciences. 121(30). e2406930121–e2406930121. 18 indexed citations
13.
Shahvandi, Mostafa Kiani, et al.. (2024). Revisiting the Excitation of Free Core Nutation. Journal of Geophysical Research Solid Earth. 129(9). 2 indexed citations
14.
Shahvandi, Mostafa Kiani, Robert Dill, Henryk Dobslaw, et al.. (2023). Geophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters. Journal of Geophysical Research Solid Earth. 128(10). 17 indexed citations
15.
Mishra, Siddhartha, et al.. (2023). Error analysis for deep neural network approximations of parametric hyperbolic conservation laws. Mathematics of Computation. 6 indexed citations
16.
Lanthaler, Samuel, Siddhartha Mishra, & F.V. Weber. (2022). On Bayesian data assimilation for PDEs with ill-posed forward problems. Inverse Problems. 38(8). 85012–85012. 1 indexed citations
17.
Mishra, Siddhartha, et al.. (2021). Higher-Order Quasi-Monte Carlo Training of Deep Neural Networks. SIAM Journal on Scientific Computing. 43(6). A3938–A3966. 9 indexed citations
18.
Mishra, Siddhartha & Roberto Molinaro. (2020). Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs II: A class of inverse problems.. arXiv (Cornell University). 14 indexed citations
19.
Lanthaler, Samuel & Siddhartha Mishra. (2019). On the convergence of the spectral viscosity method for the incompressible Euler equations with rough initial data. arXiv (Cornell University). 1 indexed citations
20.
Svärd, Magnus & Siddhartha Mishra. (2010). Implicit–explicit schemes for flow equations with stiff source terms. Journal of Computational and Applied Mathematics. 235(6). 1564–1577. 10 indexed citations

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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