David A. Sheen

1.6k total citations
33 papers, 1.3k citations indexed

About

David A. Sheen is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, David A. Sheen has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Fluid Flow and Transfer Processes, 11 papers in Computational Mechanics and 11 papers in Biomedical Engineering. Recurrent topics in David A. Sheen's work include Advanced Combustion Engine Technologies (15 papers), Combustion and flame dynamics (10 papers) and Spectroscopy and Chemometric Analyses (8 papers). David A. Sheen is often cited by papers focused on Advanced Combustion Engine Technologies (15 papers), Combustion and flame dynamics (10 papers) and Spectroscopy and Chemometric Analyses (8 papers). David A. Sheen collaborates with scholars based in United States, Brazil and Canada. David A. Sheen's co-authors include Hai Wang, Aamir D. Abid, Joaquin Camacho, Terese Løvås, Xiaoqing You, Wérickson Fortunato de Carvalho Rocha, Jeffrey A. Manion, Wing Tsang, Craig T. Bowman and Iftikhar A. Awan and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Progress in Energy and Combustion Science.

In The Last Decade

David A. Sheen

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David A. Sheen United States	16	910	750	218	217	208	33	1.3k
István Gy. Zsély Hungary	24	1.3k 1.4×	1.1k 1.5×	532 2.4×	282 1.3×	434 2.1×	44	1.9k
Bryan W. Weber United States	13	1.3k 1.5×	1.3k 1.7×	670 3.1×	190 0.9×	318 1.5×	21	2.0k
Tamás Varga Hungary	13	905 1.0×	802 1.1×	379 1.7×	190 0.9×	235 1.1×	29	1.2k
Weiqi Ji United States	16	496 0.5×	462 0.6×	179 0.8×	47 0.2×	156 0.8×	21	841
Zekai Hong Canada	21	1.4k 1.5×	1.2k 1.7×	694 3.2×	303 1.4×	279 1.3×	60	2.0k
John T. Farrell United States	19	786 0.9×	655 0.9×	135 0.6×	251 1.2×	197 0.9×	25	1.5k
Joseph F. Grcar United States	18	1.8k 1.9×	1.9k 2.5×	731 3.4×	286 1.3×	324 1.6×	38	2.4k
Mohammed Alabbad Saudi Arabia	16	928 1.0×	739 1.0×	301 1.4×	120 0.6×	262 1.3×	41	1.3k
Ji Chen China	12	547 0.6×	469 0.6×	206 0.9×	58 0.3×	163 0.8×	43	1.0k

Countries citing papers authored by David A. Sheen

Since Specialization

Citations

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

Fields of papers citing papers by David A. Sheen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Sheen. 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 David A. Sheen. The network helps show where David A. Sheen may publish in the future.

Co-authorship network of co-authors of David A. Sheen

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Sheen. A scholar is included among the top collaborators of David A. Sheen 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 David A. Sheen. David A. Sheen 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

Mahynski, Nathan A., Jacob I. Monroe, David A. Sheen, et al.. (2023). Classification and authentication of materials using prompt gamma ray activation analysis. Journal of Radioanalytical and Nuclear Chemistry. 332(8). 3259–3271. 3 indexed citations

Sheen, David A., Vincent K. Shen, Robert G. Brinson, et al.. (2020). Chemometric outlier classification of 2D-NMR spectra to enable higher order structure characterization of protein therapeutics. Chemometrics and Intelligent Laboratory Systems. 199. 103973–103973. 9 indexed citations

Brinson, Robert G., K. Wade Elliott, Luke W. Arbogast, et al.. (2020). Principal component analysis for automated classification of 2D spectra and interferograms of protein therapeutics: influence of noise, reconstruction details, and data preparation. Journal of Biomolecular NMR. 74(10-11). 643–656. 12 indexed citations

Rocha, Wérickson Fortunato de Carvalho, et al.. (2020). Laser-driven calorimetry and chemometric quantification of standard reference material diesel/biodiesel fuel blends. Fuel. 281. 118720–118720. 4 indexed citations

Onel, Melis, Burcu Beykal, Kyle Ferguson, et al.. (2019). Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization. PLoS ONE. 14(10). e0223517–e0223517. 22 indexed citations

Bearden, Daniel W., David A. Sheen, Yamil Simón‐Manso, et al.. (2019). Metabolomics Test Materials for Quality Control: A Study of a Urine Materials Suite. Metabolites. 9(11). 270–270. 12 indexed citations

Rocha, Wérickson Fortunato de Carvalho & David A. Sheen. (2019). Determination of physicochemical properties of petroleum derivatives and biodiesel using GC/MS and chemometric methods with uncertainty estimation. Fuel. 243. 413–422. 24 indexed citations

Rocha, Wérickson Fortunato de Carvalho, David A. Sheen, & Daniel W. Bearden. (2018). Classification of samples from NMR-based metabolomics using principal components analysis and partial least squares with uncertainty estimation. Analytical and Bioanalytical Chemistry. 410(24). 6305–6319. 10 indexed citations

Rocha, Wérickson Fortunato de Carvalho, Michele M. Schantz, David A. Sheen, Pamela M. Chu, & Katrice A. Lippa. (2017). Unsupervised classification of petroleum Certified Reference Materials and other fuels by chemometric analysis of gas chromatography-mass spectrometry data. Fuel. 197. 248–258. 28 indexed citations

10.

Sheen, David A.. (2017). mumpce_py: A Python Implementation of the Method of Uncertainty Minimization Using Polynomial Chaos Expansions. Journal of Research of the National Institute of Standards and Technology. 122. 1–2. 7 indexed citations

11.

Park, Okjoo, Peter S. Veloo, David A. Sheen, et al.. (2016). Chemical kinetic model uncertainty minimization through laminar flame speed measurements. Combustion and Flame. 172. 136–152. 43 indexed citations

12.

Sheen, David A., Wérickson Fortunato de Carvalho Rocha, Katrice A. Lippa, & Daniel W. Bearden. (2016). A scoring metric for multivariate data for reproducibility analysis using chemometric methods. Chemometrics and Intelligent Laboratory Systems. 162. 10–20. 14 indexed citations

13.

Banerjee, Sayak, et al.. (2015). An experimental and kinetic modeling study of n-dodecane pyrolysis and oxidation. Combustion and Flame. 163. 12–30. 71 indexed citations

14.

Sheen, David A. & Wing Tsang. (2014). A comparison of literature models for the oxidation of normal heptane. Combustion and Flame. 161(8). 1984–1992. 9 indexed citations

15.

Wang, Hai & David A. Sheen. (2014). Combustion kinetic model uncertainty quantification, propagation and minimization. Progress in Energy and Combustion Science. 47. 1–31. 272 indexed citations

16.

Rahimi, Mohammad Javad, et al.. (2012). Chemical Kinetic Model Reduction and Efficient Implementation Strategies for Hypersonic Propulsion Applications. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 4 indexed citations

17.

Sheen, David A., et al.. (2012). Kinetics of H atom attack on unsaturated hydrocarbons using spectral uncertainty propagation and minimization techniques. Proceedings of the Combustion Institute. 34(1). 527–536. 32 indexed citations

18.

Sheen, David A. & Hai Wang. (2011). The method of uncertainty quantification and minimization using polynomial chaos expansions. Combustion and Flame. 158(12). 2358–2374. 186 indexed citations

19.

Abid, Aamir D., Joaquin Camacho, David A. Sheen, & Hai Wang. (2009). Quantitative measurement of soot particle size distribution in premixed flames – The burner-stabilized stagnation flame approach. Combustion and Flame. 156(10). 1862–1870. 142 indexed citations

20.

Abid, Aamir D., Joaquin Camacho, David A. Sheen, & Hai Wang. (2009). Evolution of Soot Particle Size Distribution Function in Burner-Stabilized Stagnation n-Dodecane−Oxygen−Argon Flames. Energy & Fuels. 23(9). 4286–4294. 31 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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