Tristan Maxson

5.4k total citations · 1 hit paper
11 papers, 638 citations indexed

About

Tristan Maxson is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Tristan Maxson has authored 11 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Physical and Theoretical Chemistry and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Tristan Maxson's work include Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Crystallography and molecular interactions (3 papers). Tristan Maxson is often cited by papers focused on Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Crystallography and molecular interactions (3 papers). Tristan Maxson collaborates with scholars based in United States, Singapore and Saudi Arabia. Tristan Maxson's co-authors include Jeffrey Greeley, Lei Wang, Zhenhua Zeng, David Raciti, Michael Giroux, Xiaoqing Pan, Wenpei Gao, Chao Wang, Siddharth Deshpande and Tibor Szilvási and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Langmuir.

In The Last Decade

Tristan Maxson

10 papers receiving 636 citations

Hit Papers

Tunable intrinsic strain in two-dimensional transition me... 2019 2026 2021 2023 2019 100 200 300 400
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.

  1. Tunable intrinsic strain in two-dimensional transition metal electrocatalysts
    2019 496 citations Lei Wang, Zhenhua Zeng et al. Science profile →

Peers

Tristan Maxson
Jorge Vargas Mexico
Misbah Sarwar United Kingdom
Víctor Posligua United Kingdom
Alexander T. Murray United States
Wendu Ding United States
Song Xu China
Matthew S. Kelley United States
Subhajit Nandy South Korea
Eric T. Baxter United States
Kathryn L. Corp United States
Jorge Vargas Mexico
Tristan Maxson
Citations per year, relative to Tristan Maxson Tristan Maxson (= 1×) peers Jorge Vargas

Countries citing papers authored by Tristan Maxson

Since Specialization
Citations

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

Fields of papers citing papers by Tristan Maxson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tristan Maxson. 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 Tristan Maxson. The network helps show where Tristan Maxson may publish in the future.

Co-authorship network of co-authors of Tristan Maxson

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

All Works

11 of 11 papers shown
1.
Maxson, Tristan, et al.. (2025). MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials. Journal of Chemical Information and Modeling. 65(15). 8097–8112. 1 indexed citations
2.
Maxson, Tristan, et al.. (2025). Temporal Resolution of In Situ TEM Limits the Characterization of Catalyst Site Dynamics. ACS Catalysis. 15(22). 18908–18916.
3.
Maxson, Tristan, et al.. (2024). Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices. The Journal of Physical Chemistry C. 128(16). 6524–6537. 15 indexed citations
4.
Maxson, Tristan, et al.. (2024). Probe the Dynamic Adsorption and Phase Transition of Underpotential Deposition Processes at Electrode–Electrolyte Interfaces. Langmuir. 40(9). 4914–4926. 1 indexed citations
5.
Maxson, Tristan, et al.. (2024). Selective vapor-phase formation of dimethylformamide via oxidative coupling of methanol and dimethylamine over bimetallic catalysts. Catalysis Science & Technology. 14(6). 1534–1549. 5 indexed citations
6.
Maxson, Tristan & Tibor Szilvási. (2024). Transferable Water Potentials Using Equivariant Neural Networks. The Journal of Physical Chemistry Letters. 15(14). 3740–3747. 18 indexed citations
7.
Maxson, Tristan, Almaz S. Jalilov, Mat­thias Zeller, & Sergiy V. Rosokha. (2020). Halogen Bonding Between Anions: Association of Anion Radicals of Tetraiodo‐p‐benzoquinone with Iodide Anions. Angewandte Chemie International Edition. 59(39). 17197–17201. 17 indexed citations
8.
Maxson, Tristan, Almaz S. Jalilov, Mat­thias Zeller, & Sergiy V. Rosokha. (2020). Halogen Bonding Between Anions: Association of Anion Radicals of Tetraiodo‐p‐benzoquinone with Iodide Anions. Angewandte Chemie. 132(39). 17350–17354. 7 indexed citations
9.
Wilson, Joshua, et al.. (2020). Diversity and uniformity in anion–π complexes of thiocyanate with aromatic, olefinic and quinoidal π-acceptors. Dalton Transactions. 49(25). 8734–8743. 23 indexed citations
10.
Deshpande, Siddharth, Tristan Maxson, & Jeffrey Greeley. (2020). Graph theory approach to determine configurations of multidentate and high coverage adsorbates for heterogeneous catalysis. npj Computational Materials. 6(1). 55 indexed citations
11.
Wang, Lei, Zhenhua Zeng, Wenpei Gao, et al.. (2019). Tunable intrinsic strain in two-dimensional transition metal electrocatalysts. Science. 363(6429). 870–874. 496 indexed citations breakdown →

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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