Matthew S. Johnson

907 total citations · 1 hit paper
19 papers, 483 citations indexed

About

Matthew S. Johnson is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Computational Theory and Mathematics. According to data from OpenAlex, Matthew S. Johnson has authored 19 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Fluid Flow and Transfer Processes and 4 papers in Computational Theory and Mathematics. Recurrent topics in Matthew S. Johnson's work include Machine Learning in Materials Science (9 papers), Advanced Combustion Engine Technologies (5 papers) and Computational Drug Discovery Methods (4 papers). Matthew S. Johnson is often cited by papers focused on Machine Learning in Materials Science (9 papers), Advanced Combustion Engine Technologies (5 papers) and Computational Drug Discovery Methods (4 papers). Matthew S. Johnson collaborates with scholars based in United States, Israel and Mexico. Matthew S. Johnson's co-authors include William H. Green, Richard H. West, Alon Grinberg Dana, A. Mark Payne, Mengjie Liu, Katrín Blöndal, Nathan W. Yee, Emily Mazeau, Colin A. Grambow and C. Franklin Goldsmith and has published in prestigious journals such as The Journal of Physical Chemistry C, The Journal of Physical Chemistry A and Combustion and Flame.

In The Last Decade

Matthew S. Johnson

17 papers receiving 476 citations

Hit Papers

align trajectories sort by overperformance

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.

Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation

2021 197 citations Mengjie Liu, Alon Grinberg Dana et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew S. Johnson United States	8	219	145	99	97	79	19	483
Nathan W. Yee United States	5	171 0.8×	135 0.9×	82 0.8×	109 1.1×	60 0.8×	6	428
Emily Mazeau United States	7	234 1.1×	73 0.5×	129 1.3×	53 0.5×	58 0.7×	8	429
Nick Vandewiele Belgium	8	149 0.7×	157 1.1×	91 0.9×	158 1.6×	72 0.9×	10	450
Katrín Blöndal United States	9	264 1.2×	72 0.5×	144 1.5×	52 0.5×	70 0.9×	10	461
Angiras Menon United Kingdom	16	281 1.3×	170 1.2×	41 0.4×	53 0.5×	102 1.3×	29	566
A. Mark Payne United States	6	157 0.7×	75 0.5×	65 0.7×	55 0.6×	48 0.6×	7	352
Kehang Han United States	8	233 1.1×	60 0.4×	99 1.0×	44 0.5×	40 0.5×	10	408
Edward S. Blurock Sweden	9	133 0.6×	179 1.2×	84 0.8×	115 1.2×	81 1.0×	20	410
M. Monge-Palacios Saudi Arabia	17	216 1.0×	205 1.4×	73 0.7×	160 1.6×	232 2.9×	46	736
Leif C. Kröger Germany	17	308 1.4×	299 2.1×	125 1.3×	169 1.7×	142 1.8×	23	879

Countries citing papers authored by Matthew S. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew S. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Johnson. 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 Matthew S. Johnson. The network helps show where Matthew S. Johnson may publish in the future.

Co-authorship network of co-authors of Matthew S. Johnson

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

All Works

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19 of 19 papers shown

Johnson, Matthew S., David H. Bross, & Judit Zádor. (2025). Resolving the Coverage Dependence of Surface Reaction Kinetics with Machine Learning and Automated Quantum Chemistry Workflows. The Journal of Physical Chemistry C. 129(7). 3469–3482.

Johnson, Matthew S., Lance Kavalsky, Judit Zádor, et al.. (2025). Automatic Generation of Chemical Mechanisms for Electrochemical Systems: Solid Electrolyte Interphase Formation in Lithium Batteries. The Journal of Physical Chemistry C. 129(28). 12667–12678.

Johnson, Matthew S., Charles J. McGill, & William H. Green. (2024). Transitory sensitivity in automatic chemical kinetic mechanism analysis. International Journal of Chemical Kinetics. 57(2). 125–138. 1 indexed citations

Johnson, Matthew S., Hao‐Wei Pang, Mengjie Liu, & William H. Green. (2024). Species selection for automatic chemical kinetic mechanism generation. International Journal of Chemical Kinetics. 57(2). 93–107. 3 indexed citations

Johnson, Matthew S. & William H. Green. (2024). A machine learning based approach to reaction rate estimation. Reaction Chemistry & Engineering. 9(6). 1364–1380. 12 indexed citations

Pang, Hao‐Wei, et al.. (2024). Subgraph Isomorphic Decision Tree to Predict Radical Thermochemistry with Bounded Uncertainty Estimation. The Journal of Physical Chemistry A. 128(14). 2891–2907. 6 indexed citations

Johnson, Matthew S., Hao‐Wei Pang, A. Mark Payne, & William H. Green. (2024). ReactionMechanismSimulator.jl: A modern approach to chemical kinetic mechanism simulation and analysis. International Journal of Chemical Kinetics. 56(12). 732–747. 5 indexed citations

Johnson, Matthew S., et al.. (2024). Diffusion-Limited Kinetics in Reactive Systems. The Journal of Physical Chemistry A. 128(18). 3685–3702. 3 indexed citations

Kavalsky, Lance, Vinay I. Hegde, Eric S. Muckley, et al.. (2023). By how much can closed-loop frameworks accelerate computational materials discovery?. Digital Discovery. 2(4). 1112–1125. 9 indexed citations

10.

Johnson, Matthew S., Maciej Gierada, Eric Hermes, et al.. (2023). Pynta─An Automated Workflow for Calculation of Surface and Gas–Surface Kinetics. Journal of Chemical Information and Modeling. 63(16). 5153–5168. 7 indexed citations

11.

Park, Chanwoo, et al.. (2023). Study of Phase Change Thermal Management Architecture for Series-Hybrid Powertrain in Unmanned Aerial Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations

12.

Johnson, Matthew S., Alon Grinberg Dana, Yunsie Chung, et al.. (2022). RMG Database for Chemical Property Prediction. Journal of Chemical Information and Modeling. 62(20). 4906–4915. 88 indexed citations

13.

Johnson, Matthew S., Alon Grinberg Dana, & William H. Green. (2022). A workflow for automatic generation and efficient refinement of individual pressure-dependent networks. Combustion and Flame. 257. 112516–112516. 5 indexed citations

14.

Johnson, Matthew S. & William H. Green. (2022). Examining the accuracy of methods for obtaining pressure dependent rate coefficients. Faraday Discussions. 238(0). 380–404. 5 indexed citations

15.

Johnson, Matthew S., Mark R. Nimlos, Erik Ninnemann, et al.. (2021). Oxidation and pyrolysis of methyl propyl ether. International Journal of Chemical Kinetics. 53(8). 915–938. 28 indexed citations

16.

Liu, Mengjie, Alon Grinberg Dana, Matthew S. Johnson, et al.. (2021). Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation. Journal of Chemical Information and Modeling. 61(6). 2686–2696. 197 indexed citations breakdown →

17.

Johnson, Matthew S. & William H. Green. (2019). A Decision Tree Based Machine Learning Algorithm for Rate Estimation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

18.

Keçeli, Murat, Sarah N. Elliott, Yi‐Pei Li, et al.. (2018). Automated computational thermochemistry for butane oxidation: A prelude to predictive automated combustion kinetics. Proceedings of the Combustion Institute. 37(1). 363–371. 73 indexed citations

19.

Johnson, Matthew S., S. Scott Goldsborough, Richard H. West, et al.. (2017). The role of correlations in uncertainty quantification of transportation relevant fuel models. Combustion and Flame. 180. 239–249. 35 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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