J. Hunter Mack

1.4k total citations
68 papers, 1.1k citations indexed

About

J. Hunter Mack is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, J. Hunter Mack has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Fluid Flow and Transfer Processes, 36 papers in Computational Mechanics and 24 papers in Aerospace Engineering. Recurrent topics in J. Hunter Mack's work include Advanced Combustion Engine Technologies (38 papers), Combustion and flame dynamics (35 papers) and Combustion and Detonation Processes (20 papers). J. Hunter Mack is often cited by papers focused on Advanced Combustion Engine Technologies (38 papers), Combustion and flame dynamics (35 papers) and Combustion and Detonation Processes (20 papers). J. Hunter Mack collaborates with scholars based in United States, United Kingdom and Austria. J. Hunter Mack's co-authors include Robert W. Dibble, Salvador M. Aceves, Daniel L. Flowers, Bruce A. Buchholz, Alexis T. Bell, Eric R. Sacia, Yulin Chen, Daniel A. Kuchma, Andrew T. Myers and C. Niezrecki and has published in prestigious journals such as Applied Energy, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

J. Hunter Mack

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Hunter Mack United States 17 654 466 340 235 194 68 1.1k
Bhupendra Khandelwal United Kingdom 17 732 1.1× 634 1.4× 199 0.6× 192 0.8× 410 2.1× 74 1.4k
Zongyu Yue China 18 701 1.1× 508 1.1× 252 0.7× 281 1.2× 150 0.8× 53 941
Hakan Serhad Soyhan Türkiye 20 702 1.1× 487 1.0× 482 1.4× 324 1.4× 88 0.5× 71 1.1k
Hao Duan China 17 448 0.7× 254 0.5× 245 0.7× 268 1.1× 168 0.9× 79 1.3k
C. Scott Sluder United States 21 888 1.4× 623 1.3× 359 1.1× 552 2.3× 180 0.9× 63 1.4k
Yinjie Ma China 21 651 1.0× 468 1.0× 514 1.5× 276 1.2× 132 0.7× 47 1.1k
Robert R. Raine New Zealand 23 1.1k 1.7× 647 1.4× 575 1.7× 534 2.3× 184 0.9× 64 1.4k
Dave Richardson United Kingdom 21 1.2k 1.8× 617 1.3× 513 1.5× 589 2.5× 117 0.6× 39 1.4k
V. Mahendra Reddy India 20 618 0.9× 661 1.4× 212 0.6× 95 0.4× 153 0.8× 65 1.0k
Yanqing Cui China 17 548 0.8× 358 0.8× 201 0.6× 181 0.8× 93 0.5× 39 730

Countries citing papers authored by J. Hunter Mack

Since Specialization
Citations

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

Fields of papers citing papers by J. Hunter Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hunter Mack

This figure shows the co-authorship network connecting the top 25 collaborators of J. Hunter Mack. A scholar is included among the top collaborators of J. Hunter Mack 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 J. Hunter Mack. J. Hunter Mack 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.
Zhang, Yicheng, et al.. (2025). Direct Nitrogen Oxides Abatement via Atmospheric Pressure Conventional and Membrane Dielectric Barrier Discharge Plasma. Plasma Chemistry and Plasma Processing. 45(6). 1779–1806. 1 indexed citations
2.
Mack, J. Hunter, et al.. (2024). Hydrogen production synergy in non-thermal plasma copyrolysis of low-density polyethylene and cellulose. International Journal of Hydrogen Energy. 65. 375–380. 5 indexed citations
3.
Trelles, Juan Pablo, et al.. (2024). Combustion characteristics and emissions of nitrogen oxides (NO, NO2, N2O) from spherically expanding laminar flames of ammonia–hydrogen blends. International Journal of Hydrogen Energy. 65. 164–176. 22 indexed citations
4.
Mack, J. Hunter, et al.. (2024). Ammonia Synthesis via Membrane Dielectric-Barrier Discharge Reactor Integrated with Metal Catalyst. Plasma Chemistry and Plasma Processing. 44(6). 2031–2055. 2 indexed citations
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Mack, J. Hunter, et al.. (2023). Hydrogen from cellulose and low-density polyethylene via atmospheric pressure nonthermal plasma. International Journal of Hydrogen Energy. 49. 745–763. 4 indexed citations
8.
Fernández, John, et al.. (2023). Comparison of F-76 and JP-8 Fuel Surrogates in a Low-Pressure Swirl Burner. AIAA SCITECH 2023 Forum.
9.
Mack, J. Hunter, et al.. (2023). Artificial Neural Network Models for Octane Number and Octane Sensitivity: A Quantitative Structure Property Relationship Approach to Fuel Design. Journal of Energy Resources Technology. 145(10). 5 indexed citations
10.
Mack, J. Hunter, et al.. (2023). Design and Characterization of a Membrane Dielectric-Barrier Discharge Reactor for Ammonia Synthesis. Plasma Chemistry and Plasma Processing. 43(6). 1921–1940. 7 indexed citations
11.
Akers, Kevin S., Peng Yu, Christopher Drew, et al.. (2022). Nonthermal atmospheric plasma reactors for hydrogen production from low-density polyethylene. International Journal of Hydrogen Energy. 47(94). 39743–39757. 18 indexed citations
12.
Mack, J. Hunter, et al.. (2022). Analysis of Inlier and Outlier Compounds with Respect to Artificial Neural Network Cetane Number Prediction Accuracy. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
13.
John, Peter C. St., et al.. (2020). A comparison of computational models for predicting yield sooting index. Proceedings of the Combustion Institute. 38(1). 1385–1393. 22 indexed citations
14.
Mack, J. Hunter, et al.. (2020). Impact of Syngas Addition to Methane on Laminar Burning Velocity. Journal of Engineering for Gas Turbines and Power. 143(5). 6 indexed citations
15.
Schwartz, Thomas J., et al.. (2019). Screening Compounds for Fast Pyrolysis and Catalytic Biofuel Upgrading Using Artificial Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
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Mack, J. Hunter, et al.. (2019). ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters. The Journal of Open Source Software. 4(39). 1420–1420. 2 indexed citations
19.
Mack, J. Hunter, et al.. (2017). Mixedness Measurement in Gaseous Jet Injection. OSF Preprints (OSF Preprints). 1 indexed citations
20.

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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