Matthew Witman

2.8k total citations · 1 hit paper
48 papers, 2.1k citations indexed

About

Matthew Witman is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Matthew Witman has authored 48 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 14 papers in Inorganic Chemistry and 12 papers in Mechanical Engineering. Recurrent topics in Matthew Witman's work include Hydrogen Storage and Materials (15 papers), Machine Learning in Materials Science (15 papers) and Metal-Organic Frameworks: Synthesis and Applications (13 papers). Matthew Witman is often cited by papers focused on Hydrogen Storage and Materials (15 papers), Machine Learning in Materials Science (15 papers) and Metal-Organic Frameworks: Synthesis and Applications (13 papers). Matthew Witman collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew Witman's co-authors include Berend Smit, Peter G. Boyd, Vitalie Stavila, Mark D. Allendorf, Maciej Harańczyk, Sanliang Ling, Seyed Mohamad Moosavi, Ben Slater, Kriston Brooks and Mark Bowden and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Matthew Witman

44 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Challenges to developing materials for the transport and storage of hydrogen

2022 311 citations Mark D. Allendorf, Vitalie Stavila et al. Nature Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Witman United States	22	1.4k	794	461	363	189	48	2.1k
Sven M. J. Rogge Belgium	24	2.3k 1.6×	2.1k 2.6×	293 0.6×	357 1.0×	220 1.2×	46	3.1k
Hyunjeong Kim Japan	24	1.2k 0.9×	191 0.2×	245 0.5×	571 1.6×	72 0.4×	95	2.0k
Wei Lü China	28	1.1k 0.8×	277 0.3×	212 0.5×	621 1.7×	159 0.8×	127	3.7k
Jian‐Jun Liu China	32	1.5k 1.1×	1.1k 1.3×	239 0.5×	844 2.3×	234 1.2×	139	2.7k
Jason M. Keith United States	29	1.2k 0.8×	1.1k 1.4×	238 0.5×	240 0.7×	265 1.4×	132	2.6k
Xiaoyu Chen China	24	1.1k 0.8×	87 0.1×	364 0.8×	441 1.2×	296 1.6×	98	2.0k
Andrea Lazzarini Italy	22	1.2k 0.8×	630 0.8×	249 0.5×	129 0.4×	169 0.9×	48	1.8k
Santanu Chaudhuri United States	23	1.1k 0.8×	194 0.2×	186 0.4×	212 0.6×	107 0.6×	86	1.7k
Rongshun Wang China	31	937 0.7×	303 0.4×	545 1.2×	2.2k 6.0×	200 1.1×	220	3.9k
Wei Quan Tian China	32	2.1k 1.5×	359 0.5×	509 1.1×	886 2.4×	426 2.3×	157	3.6k

Countries citing papers authored by Matthew Witman

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Witman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Witman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Spataru, Catalin D., et al.. (2025). Thermodynamic Modeling of Complex Solid Solutions in the Lu - H - N System via Graph Neural Network Accelerated Monte Carlo Simulations. SHILAP Revista de lepidopterología. 4(3).

Witman, Matthew, Sang M. Han, Vitalie Stavila, et al.. (2025). A combined experimental and machine learning exploration of Ti2-xZrxMnCrFeNi high entropy Laves hydrides. Materialia. 40. 102414–102414. 3 indexed citations

Peng, Peng, et al.. (2025). Technoeconomic Insights into Metal Hydrides for Stationary Hydrogen Storage. Advanced Science. 12(21). e2415736–e2415736. 10 indexed citations

Witman, Matthew, et al.. (2025). Design of lightweight BCC multi-principal element alloys with enhanced hydrogen storage using a machine learning-driven genetic algorithm. Journal of Materials Chemistry A. 13(47). 41274–41289. 1 indexed citations

Dzara, Michael J., Robert Bell, Anuj Goyal, et al.. (2025). Large-scale experimental validation of thermochemical water-splitting oxides discovered by defect graph neural networks. Materials Horizons. 13(2). 829–839.

Oh, Sangheon, Byoung Ki Choi, Eli Rotenberg, et al.. (2024). Tuning the Spin Transition and Carrier Type in Rare‐Earth Cobaltates via Compositional Complexity (Adv. Mater. 47/2024). Advanced Materials. 36(47).

Witman, Matthew, Vivian Nassif, G. Vaughan, et al.. (2024). Destabilizing high-capacity high entropy hydrides via earth abundant substitutions: From predictions to experimental validation. Acta Materialia. 276. 120086–120086. 15 indexed citations

Witman, Matthew & Peter Schindler. (2024). MatFold: systematic insights into materials discovery models' performance through standardized cross-validation protocols. Digital Discovery. 4(3). 625–635. 3 indexed citations

Strozi, Renato Belli, Matthew Witman, Vitalie Stavila, et al.. (2023). Elucidating Primary Degradation Mechanisms in High-Cycling-Capacity, Compositionally Tunable High-Entropy Hydrides. ACS Applied Materials & Interfaces. 15(32). 38412–38422. 21 indexed citations

10.

Witman, Matthew, Sanliang Ling, Gustav Ek, et al.. (2023). Towards Pareto optimal high entropy hydrides via data-driven materials discovery. Journal of Materials Chemistry A. 11(29). 15878–15888. 27 indexed citations

11.

Witman, Matthew, Anuj Goyal, Tadashi Ogitsu, Anthony H. McDaniel, & Stephan Lany. (2023). Defect graph neural networks for materials discovery in high-temperature clean-energy applications. Nature Computational Science. 3(8). 675–686. 37 indexed citations

12.

Witman, Matthew, et al.. (2023). Explainable machine learning for hydrogen diffusion in metals and random binary alloys. Physical Review Materials. 7(10). 10 indexed citations

13.

Zhang, Linda, Mark D. Allendorf, Rafael Balderas‐Xicohténcatl, et al.. (2022). Fundamentals of hydrogen storage in nanoporous materials. Repository@Nottingham (University of Nottingham). 4(4). 42013–42013. 59 indexed citations

14.

Allendorf, Mark D., Vitalie Stavila, Jonathan L. Snider, et al.. (2022). Challenges to developing materials for the transport and storage of hydrogen. Nature Chemistry. 14(11). 1214–1223. 311 indexed citations breakdown →

15.

Witman, Matthew, et al.. (2022). The effect of 10 at.% Al addition on the hydrogen storage properties of the Ti0.33V0.33Nb0.33 multi-principal element alloy. Intermetallics. 146. 107590–107590. 36 indexed citations

16.

Allendorf, Mark D., Vitalie Stavila, Matthew Witman, Carl K. Brozek, & Christopher H. Hendon. (2021). What Lies beneath a Metal–Organic Framework Crystal Structure? New Design Principles from Unexpected Behaviors. Journal of the American Chemical Society. 143(18). 6705–6723. 63 indexed citations

17.

Witman, Matthew, Gustav Ek, Sanliang Ling, et al.. (2021). Data-Driven Discovery and Synthesis of High Entropy Alloy Hydrides with Targeted Thermodynamic Stability. Chemistry of Materials. 33(11). 4067–4076. 69 indexed citations

18.

Datar, Archit, Matthew Witman, & Li‐Chiang Lin. (2021). Improving Computational Assessment of Porous Materials for Water Adsorption Applications via Flat Histogram Methods. The Journal of Physical Chemistry C. 125(7). 4253–4266. 28 indexed citations

19.

Witman, Matthew, Dogan Gidon, David B. Graves, Berend Smit, & Ali Mesbah. (2019). Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet. Plasma Sources Science and Technology. 28(9). 95019–95019. 35 indexed citations

20.

Jawahery, Sudi, Cory M. Simon, Efrem Braun, et al.. (2017). Adsorbate-induced lattice deformation in IRMOF-74 series. Nature Communications. 8(1). 13945–13945. 41 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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