Jason Christopher

810 total citations
20 papers, 671 citations indexed

About

Jason Christopher is a scholar working on Computational Mechanics, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Jason Christopher has authored 20 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 5 papers in Artificial Intelligence and 4 papers in Spectroscopy. Recurrent topics in Jason Christopher's work include Advanced Numerical Methods in Computational Mathematics (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Computational Fluid Dynamics and Aerodynamics (5 papers). Jason Christopher is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Computational Fluid Dynamics and Aerodynamics (5 papers). Jason Christopher collaborates with scholars based in United States and Aruba. Jason Christopher's co-authors include Tayfun E. Tezduyar, Kenji Takizawa, S. Wright, Creighton Moorman, Sunil Sathe, Jason Crabtree, Matthew Schwaab, Peter E. Hamlington, Gregory B. Rieker and Ian Grooms and has published in prestigious journals such as Proceedings of the Combustion Institute, Experiments in Fluids and International Journal for Numerical Methods in Fluids.

In The Last Decade

Jason Christopher

19 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Christopher United States 9 529 134 128 72 71 20 671
Creighton Moorman United States 7 488 0.9× 133 1.0× 96 0.8× 70 1.0× 69 1.0× 8 567
S. Aliabadi United States 10 537 1.0× 106 0.8× 52 0.4× 48 0.7× 55 0.8× 21 655
V. Kalro United States 14 771 1.5× 296 2.2× 62 0.5× 64 0.9× 82 1.2× 21 926
Nikolai D. Botkin Germany 17 303 0.6× 96 0.7× 83 0.6× 131 1.8× 9 0.1× 67 708
Farzin Shakib United States 14 1.1k 2.2× 186 1.4× 64 0.5× 202 2.8× 23 0.3× 19 1.3k
D. De Grazia United Kingdom 7 547 1.0× 127 0.9× 27 0.2× 16 0.2× 21 0.3× 7 617
Dirk Ekelschot United States 6 413 0.8× 109 0.8× 29 0.2× 13 0.2× 68 1.0× 11 482
Benjamin Uekérmann Germany 12 327 0.6× 119 0.9× 31 0.2× 31 0.4× 9 0.1× 31 538
Éric Saltel France 10 346 0.7× 33 0.2× 19 0.1× 35 0.5× 339 4.8× 18 562
D. Kwak United States 12 372 0.7× 124 0.9× 45 0.4× 18 0.3× 22 0.3× 29 465

Countries citing papers authored by Jason Christopher

Since Specialization
Citations

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

Fields of papers citing papers by Jason Christopher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Christopher

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Christopher. A scholar is included among the top collaborators of Jason Christopher 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 Jason Christopher. Jason Christopher 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.
2.
Christopher, Jason, et al.. (2022). Paradoxical Excitation Following Intravenous Lorazepam Administration for Alcohol Withdrawal – A Case Presentation and Literature Review. Journal of Pharmacy Practice. 36(5). 1244–1248. 8 indexed citations
3.
Christopher, Jason, et al.. (2021). Flow parameter estimation using laser absorption spectroscopy and approximate Bayesian computation. Experiments in Fluids. 62(2). 3 indexed citations
4.
Richards, Michael, Daniel Jensen, & Jason Christopher. (2020). Video Recording vs. Class Visits: A Comparison of Two Faculty Development Tools. Papers on Engineering Education Repository (American Society for Engineering Education). 23.1356.1–23.1356.10. 1 indexed citations
5.
Christopher, Jason, et al.. (2019). Turbulence Model Development Using Markov Chain Monte Carlo Approximate Bayesian Computation. AIAA Scitech 2019 Forum. 1 indexed citations
6.
7.
Christopher, Jason, et al.. (2019). Correction: Turbulence Model Development Using Markov Chain Monte Carlo Approximate Bayesian Computation. AIAA Scitech 2019 Forum. 1 indexed citations
8.
Christopher, Jason, et al.. (2019). Characterization of the Buoyant Jet above a Catalytic Combustor Using Wavelength Modulation Spectroscopy. Combustion Science and Technology. 192(6). 997–1014. 2 indexed citations
9.
Christopher, Jason, et al.. (2018). Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation. Physical Review Fluids. 3(10). 13 indexed citations
10.
Sánchez, A., Jason Christopher, Aniruddha A. Upadhye, et al.. (2018). Characterization of OH, H2O, and temperature profiles in industrial flame treatment systems interacting with polymer films. Proceedings of the Combustion Institute. 37(2). 1571–1578. 7 indexed citations
11.
Christopher, Jason. (2018). Approximate Bayesian Computation for Parameter Estimation in Complex Thermal-Fluid Systems. CU Scholar (University of Colorado Boulder). 1 indexed citations
12.
Christopher, Jason, et al.. (2017). Parameter Estimation for a Turbulent Buoyant Jet using Approximate Bayesian Computation. 55th AIAA Aerospace Sciences Meeting. 2 indexed citations
13.
14.
Christopher, Jason, et al.. (2017). Optimization for Internal Turbulent Compressible Flows Using Adjoints. 1 indexed citations
15.
Takizawa, Kenji, Creighton Moorman, S. Wright, Jason Christopher, & Tayfun E. Tezduyar. (2009). Wall shear stress calculations in space–time finite element computation of arterial fluid–structure interactions. Computational Mechanics. 46(1). 31–41. 84 indexed citations
16.
Tezduyar, Tayfun E., Kenji Takizawa, Creighton Moorman, S. Wright, & Jason Christopher. (2009). Space–time finite element computation of complex fluid–structure interactions. International Journal for Numerical Methods in Fluids. 64(10-12). 1201–1218. 147 indexed citations
17.
Tezduyar, Tayfun E., Kenji Takizawa, Creighton Moorman, S. Wright, & Jason Christopher. (2009). Multiscale sequentially-coupled arterial FSI technique. Computational Mechanics. 46(1). 17–29. 74 indexed citations
18.
Takizawa, Kenji, Jason Christopher, Tayfun E. Tezduyar, & Sunil Sathe. (2009). Space–time finite element computation of arterial fluid–structure interactions with patient‐specific data. International Journal for Numerical Methods in Biomedical Engineering. 26(1). 101–116. 104 indexed citations
19.
Tezduyar, Tayfun E., et al.. (2008). Interface projection techniques for fluid–structure interaction modeling with moving-mesh methods. Computational Mechanics. 43(1). 39–49. 112 indexed citations
20.
Tezduyar, Tayfun E., et al.. (2008). Fluid–structure interaction modeling of ringsail parachutes. Computational Mechanics. 43(1). 133–142. 86 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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