Jason D. Goodpaster

3.2k total citations · 1 hit paper
37 papers, 2.6k citations indexed

About

Jason D. Goodpaster is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jason D. Goodpaster has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Renewable Energy, Sustainability and the Environment, 12 papers in Materials Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jason D. Goodpaster's work include Electrocatalysts for Energy Conversion (9 papers), Advanced Chemical Physics Studies (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Jason D. Goodpaster is often cited by papers focused on Electrocatalysts for Energy Conversion (9 papers), Advanced Chemical Physics Studies (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Jason D. Goodpaster collaborates with scholars based in United States, United Kingdom and Switzerland. Jason D. Goodpaster's co-authors include Alexis T. Bell, Martin Head‐Gordon, Thomas F. Miller, Frederick R. Manby, Dhabih V. Chulhai, Martina Stella, Meenesh R. Singh, Jacob S. Spendelow, Paul J. A. Kenis and Andrzej Więckowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Jason D. Goodpaster

37 papers receiving 2.6k citations

Hit Papers

Identification of Possible Pathways for C–C Bond Formatio... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Jason D. Goodpaster
Alejandro J. Garza United States
Heather L. Tierney United States
Vera Krewald Germany
Xiangqian Hu United States
Alejandro J. Garza United States
Jason D. Goodpaster
Citations per year, relative to Jason D. Goodpaster Jason D. Goodpaster (= 1×) peers Alejandro J. Garza

Countries citing papers authored by Jason D. Goodpaster

Since Specialization
Citations

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

Fields of papers citing papers by Jason D. Goodpaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason D. Goodpaster. 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 Jason D. Goodpaster. The network helps show where Jason D. Goodpaster may publish in the future.

Co-authorship network of co-authors of Jason D. Goodpaster

This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Goodpaster. A scholar is included among the top collaborators of Jason D. Goodpaster 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 Jason D. Goodpaster. Jason D. Goodpaster 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.
Gladfelter, Wayne L., et al.. (2025). Unraveling Surface Chemistry of SnO 2 Through Formation of Charged Oxygen Species and Oxygen Vacancies. International Journal of Quantum Chemistry. 125(4). 1 indexed citations
2.
Gladfelter, Wayne L., et al.. (2024). Efficient method for twist-averaged coupled cluster calculation of gap energy: Bulk study of stannic oxide. AIP Advances. 14(9). 1 indexed citations
3.
Goodpaster, Jason D., et al.. (2024). CatEmbed: A Machine-Learned Representation Obtained via Categorical Entity Embedding for Predicting Adsorption and Reaction Energies on Bimetallic Alloy Surfaces. The Journal of Physical Chemistry Letters. 15(26). 6791–6797. 1 indexed citations
4.
Goodpaster, Jason D., et al.. (2023). Neural network potentials for reactive chemistry: CASPT2 quality potential energy surfaces for bond breaking. Digital Discovery. 2(4). 1058–1069. 11 indexed citations
5.
Park, Jesse G., Lucy E. Darago, Tomče Runčevski, et al.. (2021). Magnetic ordering through itinerant ferromagnetism in a metal–organic framework. Nature Chemistry. 13(6). 594–598. 58 indexed citations
6.
Prajapati, Aditya, et al.. (2021). Fundamental insight into electrochemical oxidation of methane towards methanol on transition metal oxides. Proceedings of the National Academy of Sciences. 118(8). 59 indexed citations
7.
Beaumier, Evan P., Xuelan Wen, Zachary W. Davis‐Gilbert, et al.. (2020). Ti-catalyzed ring-opening oxidative amination of methylenecyclopropanes with diazenes. Chemical Science. 11(27). 7204–7209. 12 indexed citations
8.
Beaumier, Evan P., Christopher P. Gordon, Xuelan Wen, et al.. (2020). Cp2Ti(κ2-tBuNCNtBu): A Complex with an Unusual κ2 Coordination Mode of a Heterocumulene Featuring a Free Carbene. Journal of the American Chemical Society. 142(17). 8006–8018. 29 indexed citations
9.
Wen, Xuelan, et al.. (2020). Mechanistic Studies of Bioorthogonal ATP Analogues for Assessment of Histidine Kinase Autophosphorylation. ACS Chemical Biology. 15(5). 1252–1260. 14 indexed citations
11.
Raju, Mandapati V. Ramakrishnam, et al.. (2019). The Stability of the Complex and the Basicity of the Anion Impact the Selectivity and Affinity of Tripodal Gadolinium Complexes for Anions. Inorganic Chemistry. 58(22). 15189–15201. 19 indexed citations
12.
Goodpaster, Jason D., et al.. (2019). Fully Quantum Embedding with Density Functional Theory for Full Configuration Interaction Quantum Monte Carlo. Journal of Chemical Theory and Computation. 15(10). 5332–5342. 9 indexed citations
13.
Beaumier, Evan P., et al.. (2019). Carbodiimide Synthesis via Ti-Catalyzed Nitrene Transfer from Diazenes to Isocyanides. ACS Catalysis. 9(12). 11753–11762. 31 indexed citations
14.
Goodpaster, Jason D.. (2019). Theoretical Chemistry Answers Bimolecular Signaling Debate in [4Fe4S] Proteins. Chem. 5(1). 12–14. 1 indexed citations
15.
Brooks, James L., et al.. (2019). Plasmon-Driven C–N Bond Cleavage Across a Series of Viologen Derivatives. The Journal of Physical Chemistry C. 123(48). 29306–29313. 13 indexed citations
16.
Davis‐Gilbert, Zachary W., Xuelan Wen, Jason D. Goodpaster, & Ian A. Tonks. (2018). Mechanism of Ti-Catalyzed Oxidative Nitrene Transfer in [2 + 2 + 1] Pyrrole Synthesis from Alkynes and Azobenzene. Journal of the American Chemical Society. 140(23). 7267–7281. 77 indexed citations
17.
Chulhai, Dhabih V. & Jason D. Goodpaster. (2018). Projection-Based Correlated Wave Function in Density Functional Theory Embedding for Periodic Systems. Journal of Chemical Theory and Computation. 14(4). 1928–1942. 83 indexed citations
18.
Goodpaster, Jason D., Taylor Barnes, Frederick R. Manby, & Thomas F. Miller. (2014). Accurate and systematically improvable density functional theory embedding for correlated wavefunctions. The Journal of Chemical Physics. 140(18). 18A507–18A507. 125 indexed citations
19.
Spendelow, Jacob S., Jason D. Goodpaster, Paul J. A. Kenis, & Andrzej Więckowski. (2006). Methanol Dehydrogenation and Oxidation on Pt(111) in Alkaline Solutions. Langmuir. 22(25). 10457–10464. 64 indexed citations
20.
Spendelow, Jacob S., Jason D. Goodpaster, Paul J. A. Kenis, & Andrzej Więckowski. (2006). Mechanism of CO Oxidation on Pt(111) in Alkaline Media. The Journal of Physical Chemistry B. 110(19). 9545–9555. 165 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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