Malik Hassanaly

673 total citations
39 papers, 430 citations indexed

About

Malik Hassanaly is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Statistical and Nonlinear Physics. According to data from OpenAlex, Malik Hassanaly has authored 39 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 12 papers in Fluid Flow and Transfer Processes and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Malik Hassanaly's work include Combustion and flame dynamics (18 papers), Advanced Combustion Engine Technologies (12 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Malik Hassanaly is often cited by papers focused on Combustion and flame dynamics (18 papers), Advanced Combustion Engine Technologies (12 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Malik Hassanaly collaborates with scholars based in United States, Germany and Netherlands. Malik Hassanaly's co-authors include Venkat Raman, Heeseok Koo, Michael E. Mueller, Klaus Peter Geigle, Ryan King, Brandon Sforzo, Jerry Seitzman, Subhayan De, Alireza Doostan and Supraj Prakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Computational Physics.

In The Last Decade

Malik Hassanaly

38 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malik Hassanaly United States 14 287 180 81 74 60 39 430
Wai Tong Chung United States 6 225 0.8× 139 0.8× 75 0.9× 67 0.9× 25 0.4× 14 380
Mathis Bode Germany 16 461 1.6× 232 1.3× 149 1.8× 33 0.4× 54 0.9× 46 590
Shashank Yellapantula United States 9 186 0.6× 84 0.5× 112 1.4× 28 0.4× 36 0.6× 33 313
Corentin Lapeyre France 10 233 0.8× 121 0.7× 73 0.9× 53 0.7× 31 0.5× 20 323
Guilhem Lacaze United States 18 765 2.7× 361 2.0× 281 3.5× 83 1.1× 91 1.5× 31 943
Marta García-Gasulla Spain 12 269 0.9× 79 0.4× 62 0.8× 14 0.2× 31 0.5× 46 442
Vamshi Korivi United States 17 464 1.6× 71 0.4× 121 1.5× 102 1.4× 7 0.1× 44 621
Jean‐François Boussuge France 15 655 2.3× 54 0.3× 321 4.0× 18 0.2× 31 0.5× 44 736
Jens Neumann Germany 15 355 1.2× 154 0.9× 204 2.5× 31 0.4× 2 0.0× 56 549
Stefan P. Domino United States 12 167 0.6× 12 0.1× 85 1.0× 27 0.4× 92 1.5× 30 298

Countries citing papers authored by Malik Hassanaly

Since Specialization
Citations

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

Fields of papers citing papers by Malik Hassanaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malik Hassanaly

This figure shows the co-authorship network connecting the top 25 collaborators of Malik Hassanaly. A scholar is included among the top collaborators of Malik Hassanaly 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 Malik Hassanaly. Malik Hassanaly 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.
Hassanaly, Malik, Peter J. Weddle, Ryan King, et al.. (2024). PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model. Journal of Energy Storage. 98. 113103–113103. 14 indexed citations
2.
Hassanaly, Malik, et al.. (2024). Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms. Combustion and Flame. 270. 113740–113740. 2 indexed citations
3.
Hassanaly, Malik, et al.. (2024). a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. Engineering Applications of Artificial Intelligence. 141. 109821–109821. 1 indexed citations
4.
Sahu, Abhijeet, et al.. (2024). Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. IEEE Access. 13. 12411–12426. 2 indexed citations
5.
Hassanaly, Malik, Peter J. Weddle, Ryan King, et al.. (2024). PINN surrogate of Li-ion battery models for parameter inference, Part II: Regularization and application of the pseudo-2D model. Journal of Energy Storage. 98. 113104–113104. 13 indexed citations
6.
Day, Marc, Lucas Esclapez, David J. Gardner, et al.. (2024). SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations. The International Journal of High Performance Computing Applications. 39(1). 123–146. 1 indexed citations
7.
Hassanaly, Malik, et al.. (2024). Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. 1–5. 1 indexed citations
8.
9.
Hassanaly, Malik. (2023). A minimally-dissipative low-Mach number solver for complex reacting flows in Open$\mathrm{FOAM}$. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 13 indexed citations
10.
De, Subhayan, et al.. (2023). Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets. Computational Mechanics. 71(6). 1251–1267. 25 indexed citations
11.
Martínez‐Tossas, Luis A., et al.. (2023). A baseline for ensemble-based, time-resolved inflow reconstruction for a single turbine using large-eddy simulations and latent diffusion models. Journal of Physics Conference Series. 2505(1). 12018–12018. 3 indexed citations
12.
Hassanaly, Malik, Bruce A. Perry, Michael E. Mueller, & Shashank Yellapantula. (2023). Uniform-in-phase-space data selection with iterative normalizing flows. SHILAP Revista de lepidopterología. 4. 3 indexed citations
13.
Esclapez, Lucas, Marc Henry de Frahan, Malik Hassanaly, et al.. (2023). Visualizations of a methane/diesel RCCI engine using PeleC and PeleLMeX. Physical Review Fluids. 8(11). 2 indexed citations
14.
Hassanaly, Malik, et al.. (2021). Adversarial sampling of unknown and high-dimensional conditional distributions. arXiv (Cornell University). 15 indexed citations
15.
Hassanaly, Malik, et al.. (2020). Probabilistic modeling of forced ignition of alternative jet fuels. Proceedings of the Combustion Institute. 38(2). 2589–2596. 17 indexed citations
16.
Ganesh, Harish, et al.. (2020). Data-based analysis of multimodal partial cavity shedding dynamics. Experiments in Fluids. 61(4). 17 indexed citations
17.
Hassanaly, Malik. (2019). Extreme Events in Turbulent Combustion. Deep Blue (University of Michigan). 1 indexed citations
18.
Hassanaly, Malik, et al.. (2018). A Comparison of Experimental-based Data Driven Models for Predicting Spontaneous Cavitation Mode Switching on a NACA 0015 Hydrofoil. Bulletin of the American Physical Society. 1 indexed citations
19.
Koo, Heeseok, Malik Hassanaly, Venkat Raman, Michael E. Mueller, & Klaus Peter Geigle. (2016). Large Eddy Simulation of Soot Formation in a Model Gas Turbine Combustor. elib (German Aerospace Center). 19 indexed citations
20.
Hassanaly, Malik, et al.. (2014). LES of Premixed Flame Flashback in a Turbulent Channel. 52nd Aerospace Sciences Meeting. 9 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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