Kyle E. Niemeyer

2.6k total citations
94 papers, 1.4k citations indexed

About

Kyle E. Niemeyer is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Kyle E. Niemeyer has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Fluid Flow and Transfer Processes, 39 papers in Computational Mechanics and 13 papers in Aerospace Engineering. Recurrent topics in Kyle E. Niemeyer's work include Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (25 papers) and Heat transfer and supercritical fluids (15 papers). Kyle E. Niemeyer is often cited by papers focused on Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (25 papers) and Heat transfer and supercritical fluids (15 papers). Kyle E. Niemeyer collaborates with scholars based in United States, Netherlands and Italy. Kyle E. Niemeyer's co-authors include Chih‐Jen Sung, Mandhapati Raju, Arfon M. Smith, Daniel S. Katz, William Cannella, Vi H. Rapp, Tyler Huntington, Bryan W. Weber, Corinne D. Scown and George Githinji and has published in prestigious journals such as Journal of Computational Physics, Fuel and Computer Physics Communications.

In The Last Decade

Kyle E. Niemeyer

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle E. Niemeyer United States 17 664 644 260 192 179 94 1.4k
James C. Sutherland United States 21 799 1.2× 1.2k 1.9× 266 1.0× 128 0.7× 256 1.4× 65 1.7k
Bert Debusschere United States 19 102 0.2× 308 0.5× 109 0.4× 166 0.9× 124 0.7× 67 1.4k
Ganesh Subramanian India 24 519 0.8× 1.0k 1.6× 562 2.2× 185 1.0× 62 0.3× 82 2.0k
Yue Yang China 24 282 0.4× 1.1k 1.7× 155 0.6× 172 0.9× 238 1.3× 119 1.8k
Ángelo Lucia United States 20 77 0.1× 129 0.2× 304 1.2× 204 1.1× 45 0.3× 95 1.2k
Peter K. Jimack United Kingdom 24 103 0.2× 902 1.4× 127 0.5× 432 2.3× 295 1.6× 130 1.8k
Michael Resch Germany 14 38 0.1× 207 0.3× 33 0.1× 58 0.3× 71 0.4× 62 637
Daniel Graves United States 11 31 0.0× 514 0.8× 39 0.1× 33 0.2× 110 0.6× 23 1.1k
Xin Lin China 14 37 0.1× 85 0.1× 59 0.2× 66 0.3× 218 1.2× 77 671

Countries citing papers authored by Kyle E. Niemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Niemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Niemeyer. 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 Kyle E. Niemeyer. The network helps show where Kyle E. Niemeyer may publish in the future.

Co-authorship network of co-authors of Kyle E. Niemeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle E. Niemeyer. A scholar is included among the top collaborators of Kyle E. Niemeyer 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 Kyle E. Niemeyer. Kyle E. Niemeyer 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
2.
Palmer, Todd S., et al.. (2025). Performant and Portable Monte Carlo Neutron Transport via Numba. Computing in Science & Engineering. 27(1). 57–65.
3.
Smith, Katherine, et al.. (2024). Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models. Geoscientific model development. 17(2). 621–649. 2 indexed citations
4.
Goodman, C. D., et al.. (2024). Monte Carlo / Dynamic Code (MC/DC): An acceleratedPython package for fully transient neutron transport and rapid methodsdevelopment. The Journal of Open Source Software. 9(96). 6415–6415. 1 indexed citations
5.
Zingale, M., et al.. (2023). A Fully Explicit Integrator for Modeling Astrophysical Reactive Flows. Research Notes of the AAS. 7(12). 282–282. 1 indexed citations
6.
Huntington, Tyler, et al.. (2022). A systematic method for selecting molecular descriptors as features when training models for predicting physiochemical properties. Fuel. 321. 123836–123836. 50 indexed citations
7.
Smith, Katherine, et al.. (2021). BFM17 v1.0: a reduced biogeochemical flux model for upper-ocean biophysical simulations. Geoscientific model development. 14(5). 2419–2442. 1 indexed citations
10.
Sander, Rolf, A. J. G. Baumgaertner, Franziska Frank, et al.. (2019). The community atmospheric chemistry box model CAABA/MECCA-4.0. Geoscientific model development. 12(4). 1365–1385. 71 indexed citations
12.
Fernandes, Pedro, Bianca Kramer, Ignasi Labastida i Juan, et al.. (2019). The Open Science Training Handbook. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
13.
Blanquart, Guillaume, et al.. (2019). A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations. Journal of Computational Physics. 406. 109185–109185. 7 indexed citations
14.
Sander, Rolf, A. J. G. Baumgaertner, David Cabrera, et al.. (2018). The atmospheric chemistry box model CAABA/MECCA-4.0. Figshare. 6830. 1 indexed citations
15.
Smith, Arfon M., Lorena A. Barba, George Githinji, et al.. (2017). The Journal of Open Source Software. Figshare. 78 indexed citations
16.
Katz, Daniel S., Kyle E. Niemeyer, Arfon M. Smith, et al.. (2016). Software vs. data in the context of citation. 15 indexed citations
17.
Niemeyer, Kyle E.. (2016). An autoignition performance comparison of chemical kinetics models for n-heptane. Figshare. 1 indexed citations
18.
Niemeyer, Kyle E., et al.. (2016). Initial investigation of pyJac: an analytical Jacobian generator for chemical kinetics. Figshare. 2 indexed citations
19.
20.
Niemeyer, Kyle E.. (2009). Skeletal Mechanism Generation for Surrogate Fuels. OhioLink ETD Center (Ohio Library and Information Network). 5 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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