Mitchell Wood

2.7k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

Mitchell Wood is a scholar working on Materials Chemistry, Mechanics of Materials and Geophysics. According to data from OpenAlex, Mitchell Wood has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 9 papers in Mechanics of Materials and 9 papers in Geophysics. Recurrent topics in Mitchell Wood's work include Machine Learning in Materials Science (15 papers), High-pressure geophysics and materials (9 papers) and Energetic Materials and Combustion (8 papers). Mitchell Wood is often cited by papers focused on Machine Learning in Materials Science (15 papers), High-pressure geophysics and materials (9 papers) and Energetic Materials and Combustion (8 papers). Mitchell Wood collaborates with scholars based in United States, France and United Kingdom. Mitchell Wood's co-authors include Aidan P. Thompson, Alejandro Strachan, Zhi Deng, Shyue Ping Ong, Gábor Cśanyi, Yiming Chen, Xiangguo Li, Yunxing Zuo, Chi Chen and Alexander V. Shapeev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

Mitchell Wood

47 papers receiving 1.9k citations

Hit Papers

Performance and Cost Assessment of Machine Learning Inter... 2020 2026 2022 2024 2020 200 400 600
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. Performance and Cost Assessment of Machine Learning Interatomic Potentials
    2020 617 citations Yunxing Zuo, Chi Chen et al. The Journal of Physical Chemistry A profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell Wood United States 18 1.3k 373 337 208 205 53 1.9k
Maurice de Koning Brazil 19 967 0.7× 167 0.4× 304 0.9× 185 0.9× 344 1.7× 67 1.6k
Vladimir Stegailov Russia 27 1.3k 1.0× 138 0.4× 299 0.9× 316 1.5× 363 1.8× 129 2.2k
Franz Gähler Germany 14 1.5k 1.1× 179 0.5× 179 0.5× 104 0.5× 329 1.6× 50 2.0k
M. C. Valsakumar India 23 1.1k 0.8× 245 0.7× 110 0.3× 89 0.4× 215 1.0× 109 1.7k
Shūji Ogata Japan 28 1.1k 0.8× 431 1.2× 286 0.8× 361 1.7× 235 1.1× 116 2.3k
Amit Samanta United States 20 1.6k 1.2× 401 1.1× 491 1.5× 71 0.3× 1.2k 6.0× 62 2.7k
W.G. Wolfer United States 30 1.6k 1.2× 120 0.3× 312 0.9× 96 0.5× 435 2.1× 80 2.4k
Hans‐Rainer Trebin Germany 26 1.6k 1.2× 201 0.5× 248 0.7× 73 0.4× 394 1.9× 143 2.6k
J. Matthew D. Lane United States 21 765 0.6× 218 0.6× 256 0.8× 162 0.8× 152 0.7× 60 1.4k
Danny Pérez United States 27 1.2k 0.9× 190 0.5× 659 2.0× 63 0.3× 278 1.4× 113 2.3k

Countries citing papers authored by Mitchell Wood

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Wood. A scholar is included among the top collaborators of Mitchell Wood 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 Mitchell Wood. Mitchell Wood 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.
Carlson, D., Paul E. Schrader, Kendrew Au, et al.. (2025). The Effects of Shockwave Pressures on Ultrafast Vibrational Energy Transfer in BNFF, a Hydrogen-Free Energetic Material. The Journal of Physical Chemistry Letters. 16(50). 12728–12734.
2.
Wood, Mitchell, et al.. (2024). Bayesian blacksmithing: discovering thermomechanical properties and deformation mechanisms in high-entropy refractory alloys. npj Computational Materials. 10(1). 5 indexed citations
3.
Ramakrishna, Kushal, Andrew Rohskopf, Julien Tranchida, et al.. (2024). Probing iron in Earth’s core with molecular-spin dynamics. Proceedings of the National Academy of Sciences. 121(51). e2408897121–e2408897121. 1 indexed citations
4.
Wood, Mitchell, et al.. (2024). Machine learned interatomic potentials for gas-metal interactions. Modelling and Simulation in Materials Science and Engineering. 33(1). 15007–15007. 1 indexed citations
5.
Nguyen-Cong, Kien, Joseph M. Gonzalez, A. B. Belonoshko, et al.. (2024). Extreme Metastability of Diamond and its Transformation to the BC8 Post-Diamond Phase of Carbon. The Journal of Physical Chemistry Letters. 15(4). 1152–1160. 11 indexed citations
6.
Goff, James M., C. Sievers, Mitchell Wood, & Aidan P. Thompson. (2024). Permutation-adapted complete and independent basis for atomic cluster expansion descriptors. Journal of Computational Physics. 510. 113073–113073. 6 indexed citations
7.
Yang, Shizhong, et al.. (2024). Generalized representative structures for atomistic systems. Journal of Physics Condensed Matter. 37(7). 75901–75901.
8.
Rohskopf, Andrew, C. Sievers, Nicholas Lubbers, et al.. (2023). FitSNAP: Atomistic machine learning with LAMMPS. The Journal of Open Source Software. 8(84). 5118–5118. 30 indexed citations
9.
Ramakrishna, Kushal, et al.. (2023). Transferable interatomic potential for aluminum from ambient conditions to warm dense matter. Physical Review Research. 5(3). 7 indexed citations
10.
Thompson, Aidan P., et al.. (2023). Dynamic formation of preferentially lattice oriented, self trapped hydrogen clusters. Materials Research Express. 10(10). 106513–106513. 3 indexed citations
11.
Tranchida, Julien, et al.. (2023). Machine learned interatomic potential for dispersion strengthened plasma facing components. The Journal of Chemical Physics. 158(11). 114101–114101. 15 indexed citations
12.
Rohskopf, Andrew, Kiarash Gordiz, Ngoc Cuong Nguyen, et al.. (2023). Exploring model complexity in machine learned potentials for simulated properties. Journal of materials research/Pratt's guide to venture capital sources. 38(24). 5136–5150. 6 indexed citations
13.
Nguyen-Cong, Kien, Stan Moore, A. B. Belonoshko, et al.. (2021). Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales. 1–12. 32 indexed citations
14.
Wood, Mitchell, et al.. (2020). Compositional and structural origins of radiation damage mitigation in high-entropy alloys. Journal of Applied Physics. 128(12). 35 indexed citations
15.
Nguyen-Cong, Kien, et al.. (2020). Quantum accurate SNAP carbon potential for MD shock simulations. AIP conference proceedings. 9 indexed citations
16.
Zuo, Yunxing, Chi Chen, Xiangguo Li, et al.. (2020). Performance and Cost Assessment of Machine Learning Interatomic Potentials. The Journal of Physical Chemistry A. 124(4). 731–745. 617 indexed citations breakdown →
17.
Pecht, Michael, et al.. (2008). The Measurement of Ion Diffusion in Epoxy Molding Compounds by Dynamic Secondary Ion Mass Spectroscopy. IEEE Transactions on Components and Packaging Technologies. 31(3). 527–535. 7 indexed citations
18.
Waugh, K.C., et al.. (2005). The detailed kinetics and mechanism of ethyl ethanoate synthesis over a Cu/Cr2O3 catalyst. Journal of Catalysis. 236(1). 21–33. 71 indexed citations
19.
Geyer, R.G., M. W. Cole, P. C. Joshi, et al.. (2002). Correlation of Microwave Dielectric Properties and Microstructure of Unpatterned Ferroelectric Thin Films. MRS Proceedings. 720. 4 indexed citations
20.
Wood, Mitchell, et al.. (1997). Effects of extracts of four medicinal plants on growth of selected fungi and bacteria. 41–52.

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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