Kyle J. Daun

6.2k total citations · 1 hit paper
165 papers, 3.3k citations indexed

About

Kyle J. Daun is a scholar working on Mechanics of Materials, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Kyle J. Daun has authored 165 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Mechanics of Materials, 48 papers in Atmospheric Science and 47 papers in Computational Mechanics. Recurrent topics in Kyle J. Daun's work include nanoparticles nucleation surface interactions (28 papers), Microstructure and Mechanical Properties of Steels (27 papers) and Laser-induced spectroscopy and plasma (27 papers). Kyle J. Daun is often cited by papers focused on nanoparticles nucleation surface interactions (28 papers), Microstructure and Mechanical Properties of Steels (27 papers) and Laser-induced spectroscopy and plasma (27 papers). Kyle J. Daun collaborates with scholars based in Canada, Germany and United States. Kyle J. Daun's co-authors include John R. Howell, Gregory J. Smallwood, M. Pınar Mengüç, Robert J. Siegel, Timothy A. Sipkens, Samuel J. Grauer, Paul J. Hadwin, F. Liu, Kevin A. Thomson and Christof Schulz and has published in prestigious journals such as Journal of Applied Physics, Journal of Power Sources and Scientific Reports.

In The Last Decade

Kyle J. Daun

157 papers receiving 3.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Thermal Radiation Heat Transfer

2020 561 citations Kyle J. Daun et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kyle J. Daun	1.3k	728	627	587	571	165	3.3k
M. Pınar Mengüç	1.8k 1.4×	293 0.4×	245 0.4×	1.2k 2.0×	554 1.0×	197	5.7k
Michael F. Modest	5.1k 3.9×	548 0.8×	235 0.4×	712 1.2×	1.3k 2.3×	267	6.0k
Terrence R. Meyer	2.6k 2.0×	247 0.3×	842 1.3×	330 0.6×	930 1.6×	239	4.6k
Huaichun Zhou	2.7k 2.1×	162 0.2×	290 0.5×	1.3k 2.3×	966 1.7×	239	4.2k
Weiwei Cai	1.5k 1.2×	235 0.3×	299 0.5×	1.2k 2.0×	740 1.3×	155	4.4k
Mattias Richter	2.5k 1.9×	229 0.3×	324 0.5×	678 1.2×	735 1.3×	170	4.0k
Mark Linne	1.5k 1.1×	223 0.3×	275 0.4×	425 0.7×	212 0.4×	113	2.8k
Meredith B. Colket	2.4k 1.9×	659 0.9×	144 0.2×	722 1.2×	836 1.5×	79	3.9k
Jerry Seitzman	3.4k 2.6×	454 0.6×	541 0.9×	290 0.5×	1.3k 2.3×	194	4.4k
J. C. F. Pereira	3.8k 3.0×	233 0.3×	204 0.3×	577 1.0×	1.2k 2.1×	182	5.3k

Countries citing papers authored by Kyle J. Daun

Since Specialization

Citations

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

Fields of papers citing papers by Kyle J. Daun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle J. Daun

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

All Works

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20 of 20 papers shown

Daun, Kyle J., et al.. (2025). Techniques for measuring flare combustion efficiency and destruction removal efficiency: A review. Progress in Energy and Combustion Science. 110. 101235–101235. 1 indexed citations

Kaveh, A., et al.. (2025). Viability of video imaging spectro-radiometry (VISR) for quantifying flare combustion efficiency. Journal of the Air & Waste Management Association. 75(7). 522–539. 1 indexed citations

Corbin, Joel C., et al.. (2025). Investigation of the morphology and optical properties of graphene oxide for online diagnostics. Journal of Aerosol Science. 189. 106637–106637. 1 indexed citations

Butcher, Cliff, et al.. (2025). Influence of the coating on the interfacial heat transfer coefficient in hot stamping of Al-Si coated 22MnB5 steel. The International Journal of Advanced Manufacturing Technology. 137(5-6). 3049–3059.

Schulz, Christof, et al.. (2024). Feasibility of online optical diagnostics during gas-phase synthesis of few-layer graphene based on elastic light scattering measurements. Journal of Aerosol Science. 184. 106497–106497.

Hickey, Jean-Pierre, et al.. (2024). A Bayesian technique for quantifying methane emissions using vehicle-mounted sensors with a Gaussian plume model. Atmospheric Environment. 344. 121002–121002.

Wagner, Steven, et al.. (2024). Calibration-free thickness and temperature measurement of oil films using broadband near-infrared absorption spectroscopy. Measurement Science and Technology. 36(1). 15217–15217. 1 indexed citations

Béliveau, Audrey, et al.. (2024). Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach. ACS ES&T Air. 1(9). 1000–1014. 2 indexed citations

Daun, Kyle J., et al.. (2024). Artificial neural network for inferring radiative property variations across advanced high strength steel coils. Journal of Quantitative Spectroscopy and Radiative Transfer. 318. 108928–108928.

10.

Butcher, Cliff, et al.. (2023). Experimental artefacts affecting characterization of the evolving interfacial heat transfer coefficient in hot stamping of Al-Si coated 22MnB5 steel. Applied Thermal Engineering. 236. 121604–121604. 8 indexed citations

11.

Rahmaan, Taamjeed, Cliff Butcher, Kyle J. Daun, J. Imbert, & Michael J. Worswick. (2023). High strain rate constitutive and fracture characterization of AA7075-T6 sheet under various stress states. International Journal of Impact Engineering. 183. 104812–104812. 4 indexed citations

12.

Wiggers, Hartmut, et al.. (2023). Evolution of particle size and morphology in plasma synthesis of few-layer graphene and soot. Combustion and Flame. 258. 112713–112713. 15 indexed citations

13.

Daun, Kyle J., et al.. (2023). Time-resolved laser-induced incandescence on metal nanoparticles: effect of nanoparticle aggregation and sintering. Applied Physics B. 129(2). 4 indexed citations

14.

Corbin, Joel C., et al.. (2021). Multiphoton induced photoluminescence during time-resolved laser-induced incandescence experiments on silver and gold nanoparticles. Journal of Applied Physics. 129(18). 8 indexed citations

15.

Wagner, Steven, et al.. (2020). Quantifying the spatial resolution of the maximum a posteriori estimate in linear, rank-deficient, Bayesian hard field tomography. Measurement Science and Technology. 32(2). 25403–25403. 17 indexed citations

16.

Bauer, Florian J., et al.. (2020). Inferring soot morphology through multi-angle light scattering using an artificial neural network. Journal of Quantitative Spectroscopy and Radiative Transfer. 251. 106957–106957. 16 indexed citations

17.

Grauer, Samuel J., et al.. (2019). Efficient Bayesian inference of absorbance spectra from transmitted intensity spectra. Optics Express. 27(19). 26893–26893. 16 indexed citations

18.

Grauer, Samuel J., et al.. (2019). Multiparameter gas sensing with linear hyperspectral absorption tomography. Measurement Science and Technology. 30(10). 105401–105401. 45 indexed citations

19.

Sipkens, Timothy A., et al.. (2019). Investigating temporal variation in the apparent volume fraction measured by time-resolved laser-induced incandescence. Applied Physics B. 125(8). 14 indexed citations

20.

Hadwin, Paul J., Timothy A. Sipkens, Kevin A. Thomson, F. Liu, & Kyle J. Daun. (2016). Quantifying uncertainty in soot volume fraction estimates using Bayesian inference of auto-correlated laser-induced incandescence measurements. Applied Physics B. 122(1). 54 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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