Andrew Rohskopf

975 total citations · 1 hit paper
20 papers, 695 citations indexed

About

Andrew Rohskopf is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Andrew Rohskopf has authored 20 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Andrew Rohskopf's work include Machine Learning in Materials Science (11 papers), Thermal properties of materials (8 papers) and X-ray Diffraction in Crystallography (4 papers). Andrew Rohskopf is often cited by papers focused on Machine Learning in Materials Science (11 papers), Thermal properties of materials (8 papers) and X-ray Diffraction in Crystallography (4 papers). Andrew Rohskopf collaborates with scholars based in United States, Germany and Japan. Andrew Rohskopf's co-authors include Asegun Henry, Kiarash Gordiz, Daniel J. Friedman, Ryan M. France, Colin C. Kelsall, Kevin L. Schulte, Eric J. Tervo, Alina LaPotin, Myles A. Steiner and Evelyn N. Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nano Letters.

In The Last Decade

Andrew Rohskopf

20 papers receiving 672 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.

Thermophotovoltaic efficiency of 40%

2022 219 citations Alina LaPotin, Kevin L. Schulte et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Rohskopf United States	11	318	220	182	157	91	20	695
Amirkoushyar Ziabari United States	15	382 1.2×	149 0.7×	239 1.3×	191 1.2×	50 0.5×	64	857
Wenjie Feng China	22	503 1.6×	141 0.6×	238 1.3×	366 2.3×	47 0.5×	101	1.4k
Juncheng Guo China	17	253 0.8×	183 0.8×	191 1.0×	348 2.2×	366 4.0×	53	755
Kaike Yang China	18	1.0k 3.2×	273 1.2×	283 1.6×	99 0.6×	24 0.3×	47	1.3k
Zihao Chen China	19	180 0.6×	209 0.9×	269 1.5×	123 0.8×	19 0.2×	56	913
Alexis R. Abramson United States	17	885 2.8×	296 1.3×	334 1.8×	184 1.2×	21 0.2×	53	1.4k
Jihoon Jeong United States	15	530 1.7×	37 0.2×	182 1.0×	172 1.1×	23 0.3×	43	831
Shanhe Su China	20	561 1.8×	605 2.8×	240 1.3×	156 1.0×	518 5.7×	84	1.1k
Eric J. Tervo United States	12	81 0.3×	495 2.3×	299 1.6×	50 0.3×	220 2.4×	32	709
Guoxing Lin China	21	472 1.5×	305 1.4×	323 1.8×	506 3.2×	649 7.1×	60	1.3k

Countries citing papers authored by Andrew Rohskopf

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Rohskopf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rohskopf

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

All Works

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20 of 20 papers shown

Cangi, Attila, Andrew Rohskopf, Dayton J. Vogel, et al.. (2025). Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations. Computer Physics Communications. 314. 109654–109654. 1 indexed citations

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

Williams, Logan, Khachik Sargsyan, Andrew Rohskopf, & Habib N. Najm. (2024). Active learning for SNAP interatomic potentials via Bayesian predictive uncertainty. Computational Materials Science. 242. 113074–113074. 3 indexed citations

Zhang, Yu, et al.. (2023). Shadow Molecular Dynamics and Atomic Cluster Expansions for Flexible Charge Models. Journal of Chemical Theory and Computation. 19(13). 4255–4272. 6 indexed citations

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

Nguyen, Ngoc Cuong & Andrew Rohskopf. (2023). Proper orthogonal descriptors for efficient and accurate interatomic potentials. Journal of Computational Physics. 480. 112030–112030. 9 indexed citations

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

Roach, Devin J., Andrew Rohskopf, Samuel Leguizamon, Leah Appelhans, & Adam Cook. (2023). Invertible neural networks for real-time control of extrusion additive manufacturing. Additive manufacturing. 74. 103742–103742. 15 indexed citations

Rohskopf, Andrew, Ruiyang Li, Tengfei Luo, & Asegun Henry. (2022). A computational framework for modeling and simulating vibrational mode dynamics. Modelling and Simulation in Materials Science and Engineering. 30(4). 45010–45010. 10 indexed citations

10.

LaPotin, Alina, Kevin L. Schulte, Myles A. Steiner, et al.. (2022). Thermophotovoltaic efficiency of 40%. Nature. 604(7905). 287–291. 219 indexed citations breakdown →

11.

Roach, Devin J., Andrew Rohskopf, Craig M. Hamel, et al.. (2021). Utilizing computer vision and artificial intelligence algorithms to predict and design the mechanical compression response of direct ink write 3D printed foam replacement structures. Additive manufacturing. 41. 101950–101950. 44 indexed citations

12.

Rohskopf, Andrew, et al.. (2021). Machine learned interatomic potentials for modeling interfacial heat transport in Ge/GaAs. Computational Materials Science. 200. 110836–110836. 12 indexed citations

13.

Li, Ruiyang, Zeyu Liu, Andrew Rohskopf, et al.. (2020). A deep neural network interatomic potential for studying thermal conductivity of β -Ga2O3. Applied Physics Letters. 117(15). 67 indexed citations

14.

Rohskopf, Andrew, et al.. (2020). Fast & accurate interatomic potentials for describing thermal vibrations. Computational Materials Science. 184. 109884–109884. 11 indexed citations

15.

Lv, Wei, et al.. (2018). Graphite-high density polyethylene laminated composites with high thermal conductivity made by filament winding. eXPRESS Polymer Letters. 12(3). 215–226. 8 indexed citations

16.

Gaskins, John T., George N. Kotsonis, Ashutosh Giri, et al.. (2018). Thermal Boundary Conductance Across Heteroepitaxial ZnO/GaN Interfaces: Assessment of the Phonon Gas Model. Nano Letters. 18(12). 7469–7477. 61 indexed citations

17.

Seyf, Hamid Reza, Wei Lv, Andrew Rohskopf, & Asegun Henry. (2018). The Importance of Phonons with Negative Phase Quotient in Disordered Solids. Scientific Reports. 8(1). 2627–2627. 11 indexed citations

18.

Caccia, Mario, Grigorios Itskos, Sandeep Pidaparti, et al.. (2018). Ceramic–metal composites for heat exchangers in concentrated solar power plants. Nature. 562(7727). 406–409. 140 indexed citations

19.

Muraleedharan, Murali Gopal, Andrew Rohskopf, Vigor Yang, & Asegun Henry. (2017). Phonon optimized interatomic potential for aluminum. AIP Advances. 7(12). 5 indexed citations

20.

Rohskopf, Andrew, Hamid Reza Seyf, Kiarash Gordiz, Terumasa Tadano, & Asegun Henry. (2017). Empirical interatomic potentials optimized for phonon properties. npj Computational Materials. 3(1). 36 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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