Jared Crean

582 total citations
9 papers, 422 citations indexed

About

Jared Crean is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, Jared Crean has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Electrical and Electronic Engineering and 3 papers in Numerical Analysis. Recurrent topics in Jared Crean's work include Advanced Numerical Methods in Computational Mathematics (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Electromagnetic Simulation and Numerical Methods (3 papers). Jared Crean is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Electromagnetic Simulation and Numerical Methods (3 papers). Jared Crean collaborates with scholars based in United States, Canada and United Kingdom. Jared Crean's co-authors include Xiaodong Wen, Suvranu De, Albert K. Dearden, Qing Peng, Sheng Liu, Liang Han, Jason E. Hicken, David C. Del Rey Fernández, Mark H. Carpenter and David W. Zingg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Journal of Scientific Computing.

In The Last Decade

Jared Crean

9 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared Crean United States 6 268 122 83 61 33 9 422
V. Bashtovoy Belarus 2 77 0.3× 86 0.7× 75 0.9× 298 4.9× 25 0.8× 3 430
Xiaochun Wu China 9 219 0.8× 18 0.1× 127 1.5× 78 1.3× 36 1.1× 36 341
Decai Huang China 12 129 0.5× 121 1.0× 32 0.4× 127 2.1× 58 1.8× 49 371
V. S. Posvyanskiǐ Russia 9 69 0.3× 81 0.7× 166 2.0× 56 0.9× 96 2.9× 54 326
Ola Olsvik Norway 8 391 1.5× 97 0.8× 51 0.6× 138 2.3× 24 0.7× 9 606
Kunpeng Wang China 12 203 0.8× 51 0.4× 67 0.8× 20 0.3× 18 0.5× 35 313
E. Özuğurlu Türkiye 11 351 1.3× 26 0.2× 169 2.0× 31 0.5× 12 0.4× 25 446
Victor Mazur Ukraine 10 90 0.3× 16 0.1× 17 0.2× 137 2.2× 22 0.7× 25 302
Maxim Deminsky Russia 10 138 0.5× 50 0.4× 187 2.3× 48 0.8× 39 1.2× 16 384
P. I. Belobrov Russia 11 199 0.7× 32 0.3× 72 0.9× 88 1.4× 50 1.5× 28 323

Countries citing papers authored by Jared Crean

Since Specialization
Citations

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

Fields of papers citing papers by Jared Crean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Crean

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

All Works

9 of 9 papers shown
1.
Fernández, David C. Del Rey, Jared Crean, Mark H. Carpenter, & Jason E. Hicken. (2019). Staggered-grid entropy-stable multidimensional summation-by-parts discretizations on curvilinear coordinates. Journal of Computational Physics. 392. 161–186. 26 indexed citations
2.
Crean, Jared, et al.. (2019). Towards Aerodynamic Shape Optimization of Unsteady Turbulent Flows. AIAA Scitech 2019 Forum. 3 indexed citations
3.
Crean, Jared, et al.. (2017). Interior Penalties for Summation-by-Parts Discretizations of Linear Second-Order Differential Equations. Journal of Scientific Computing. 75(3). 1385–1414. 6 indexed citations
4.
Crean, Jared, Jason E. Hicken, David C. Del Rey Fernández, David W. Zingg, & Mark H. Carpenter. (2017). Entropy-stable summation-by-parts discretization of the Euler equations on general curved elements. Journal of Computational Physics. 356. 410–438. 79 indexed citations
6.
Crean, Jared, Jason E. Hicken, David C. Del Rey Fernández, David W. Zingg, & Mark H. Carpenter. (2017). High-Order, Entropy-Conservative Discretizations of the Euler Equations for Complex Geometries. 6 indexed citations
7.
Crean, Jared, et al.. (2016). Investigation of Stabilization Methods for Multi-Dimensional Summation-by-parts Discretizations of the Euler Equations. 54th AIAA Aerospace Sciences Meeting. 3 indexed citations
8.
Peng, Qing, Jared Crean, Liang Han, et al.. (2014). New materials graphyne, graphdiyne, graphone, and graphane: review of properties, synthesis, and application in nanotechnology. SHILAP Revista de lepidopterología. 7. 1–1. 259 indexed citations
9.
Peng, Qing, Jared Crean, Albert K. Dearden, et al.. (2013). DEFECT ENGINEERING OF 2D MONATOMIC-LAYER MATERIALS. Modern Physics Letters B. 27(23). 1330017–1330017. 39 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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