Mohammad Khalil

950 total citations
45 papers, 472 citations indexed

About

Mohammad Khalil is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Mohammad Khalil has authored 45 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 11 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Mohammad Khalil's work include Probabilistic and Robust Engineering Design (23 papers), Wind and Air Flow Studies (10 papers) and Structural Health Monitoring Techniques (8 papers). Mohammad Khalil is often cited by papers focused on Probabilistic and Robust Engineering Design (23 papers), Wind and Air Flow Studies (10 papers) and Structural Health Monitoring Techniques (8 papers). Mohammad Khalil collaborates with scholars based in United States, Canada and United Kingdom. Mohammad Khalil's co-authors include Abhijit Sarkar, Dominique Poirel, Sondipon Adhikari, Habib N. Najm, Joseph Oefelein, Guilhem Lacaze, Chris L. Pettit, Cosmin Safta, Moustapha Salem Mansour and H.A. Farag and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Combustion and Flame.

In The Last Decade

Mohammad Khalil

41 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Khalil United States 15 185 131 97 82 77 45 472
Rohit Tripathy United States 5 251 1.4× 89 0.7× 80 0.8× 124 1.5× 43 0.6× 7 584
David J. J. Toal United Kingdom 14 352 1.9× 151 1.2× 91 0.9× 86 1.0× 34 0.4× 33 742
Utz Wever Germany 12 127 0.7× 159 1.2× 106 1.1× 11 0.1× 54 0.7× 32 499
E. Andrés Spain 11 135 0.7× 146 1.1× 57 0.6× 40 0.5× 44 0.6× 28 604
Zhenghong Gao China 17 248 1.3× 408 3.1× 79 0.8× 49 0.6× 75 1.0× 125 964
Richard DeLoach United States 16 272 1.5× 252 1.9× 44 0.5× 17 0.2× 52 0.7× 64 774
Mengwu Guo Netherlands 11 279 1.5× 213 1.6× 143 1.5× 66 0.8× 26 0.3× 22 746
Hans-Jörg Starkloff Germany 5 244 1.3× 41 0.3× 77 0.8× 14 0.2× 66 0.9× 7 318
John Jasa United States 14 118 0.6× 174 1.3× 36 0.4× 12 0.1× 32 0.4× 30 584
Alex Gorodetsky United States 11 180 1.0× 25 0.2× 35 0.4× 58 0.7× 30 0.4× 56 385

Countries citing papers authored by Mohammad Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Khalil. A scholar is included among the top collaborators of Mohammad Khalil 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 Mohammad Khalil. Mohammad Khalil 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.
Azzam, Ahmed Y., Arjun Kalyanpur, Mohammad Khalil, et al.. (2025). Diagnostic performance and clinical applications of artificial intelligence for intracranial bleeding detection: A meta-analysis. Brain and Spine. 5. 105866–105866.
2.
Chen, Jacqueline H., et al.. (2024). A Hessian-based transfer learning approach for artificial neural networks based chemical kinetics with a sparse dataset. Proceedings of the Combustion Institute. 40(1-4). 105390–105390. 3 indexed citations
3.
Edwards, Jodi D., et al.. (2024). A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters. Infectious Disease Modelling. 9(4). 1224–1249. 1 indexed citations
4.
Jones, Reese E., et al.. (2023). Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations. Probabilistic Engineering Mechanics. 74. 103540–103540.
5.
Khalil, Mohammad, et al.. (2023). Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters. Journal of Sound and Vibration. 575. 118106–118106. 2 indexed citations
6.
Khalil, Mohammad, et al.. (2023). Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning. Journal of Sound and Vibration. 569. 117816–117816. 1 indexed citations
7.
Edwards, Jodi D., Tetyana Kendzerska, Chris L. Pettit, et al.. (2022). Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol. BMJ Open. 12(3). e052681–e052681. 5 indexed citations
8.
Teichert, Gregory H., Mohammad Khalil, Coleman Alleman, Krishna Garikipati, & Reese E. Jones. (2021). Sensitivity of void mediated failure to geometric design features of porous metals. International Journal of Solids and Structures. 236-237. 111309–111309. 2 indexed citations
9.
Khalil, Mohammad, et al.. (2020). Nonlinear sparse Bayesian learning for physics-based models. Journal of Computational Physics. 426. 109728–109728. 5 indexed citations
10.
11.
Khalil, Mohammad, Gregory H. Teichert, Coleman Alleman, et al.. (2020). Modeling strength and failure variability due to porosity in additively manufactured metals. Computer Methods in Applied Mechanics and Engineering. 373. 113471–113471. 18 indexed citations
12.
13.
Rizzi, Francesco, Mohammad Khalil, Reese E. Jones, et al.. (2019). Bayesian modeling of inconsistent plastic response due to material variability. Computer Methods in Applied Mechanics and Engineering. 353. 183–200. 10 indexed citations
14.
Khalil, Mohammad, et al.. (2017). Scalable domain decomposition solvers for stochastic PDEs in high performance computing. Computer Methods in Applied Mechanics and Engineering. 335. 194–222. 7 indexed citations
15.
Poirel, Dominique, et al.. (2016). Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations. Journal of Computational Physics. 316. 534–557. 16 indexed citations
16.
Khalil, Mohammad, Abhijit Sarkar, Sondipon Adhikari, & Dominique Poirel. (2015). The estimation of time-invariant parameters of noisy nonlinear oscillatory systems. Journal of Sound and Vibration. 344. 81–100. 32 indexed citations
17.
Khalil, Mohammad & Abhijit Sarkar. (2013). Data Assimilation for Large-Scale Computational Models. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
18.
Khalil, Mohammad, et al.. (2013). Model Selection for Strongly Nonlinear Systems. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 3 indexed citations
19.
Khalil, Mohammad, et al.. (2012). A cascaded fuzzy-LOPA risk assessment model applied in natural gas industry. Journal of Loss Prevention in the Process Industries. 25(6). 877–882. 34 indexed citations
20.
Khalil, Mohammad, Abhijit Sarkar, & Sondipon Adhikari. (2008). Ensemble Kalman and Particle Filter for Noise-Driven Oscillatory Systems. 1 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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