Danny Pérez

3.6k total citations
113 papers, 2.3k citations indexed

About

Danny Pérez is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Danny Pérez has authored 113 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Materials Chemistry, 26 papers in Atomic and Molecular Physics, and Optics and 23 papers in Computational Mechanics. Recurrent topics in Danny Pérez's work include Fusion materials and technologies (32 papers), Nuclear Materials and Properties (28 papers) and Machine Learning in Materials Science (19 papers). Danny Pérez is often cited by papers focused on Fusion materials and technologies (32 papers), Nuclear Materials and Properties (28 papers) and Machine Learning in Materials Science (19 papers). Danny Pérez collaborates with scholars based in United States, Canada and France. Danny Pérez's co-authors include Laurent J. Lewis, Arthur F. Voter, Blas P. Uberuaga, Yalin Dong, Ashlie Martini, Luis Sandoval, Robert W. Carpick, Qunyang Li, Thomas Vogel and Mitchell Luskin and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Danny Pérez

103 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Pérez United States 27 1.2k 730 659 477 424 113 2.3k
Christoph Ortner United Kingdom 28 1.4k 1.1× 586 0.8× 682 1.0× 335 0.7× 165 0.4× 96 2.3k
James Belak United States 30 1.7k 1.4× 287 0.4× 683 1.0× 543 1.1× 386 0.9× 73 2.8k
Tiezheng Qian Hong Kong 25 596 0.5× 1.6k 2.2× 311 0.5× 687 1.4× 498 1.2× 93 3.2k
Robert E. Rudd United States 37 3.0k 2.4× 503 0.7× 1.3k 2.0× 981 2.1× 577 1.4× 130 4.8k
Shūji Ogata Japan 28 1.1k 0.9× 208 0.3× 286 0.4× 528 1.1× 225 0.5× 116 2.3k
F. Baras France 29 587 0.5× 264 0.4× 370 0.6× 233 0.5× 228 0.5× 101 2.3k
Klaus Kassner Germany 25 1.2k 0.9× 567 0.8× 169 0.3× 348 0.7× 165 0.4× 108 2.1k
Nicolas G. Hadjiconstantinou United States 32 1.8k 1.5× 1.5k 2.1× 269 0.4× 391 0.8× 1.5k 3.5× 107 4.4k
Dimitrios Maroudas United States 39 3.5k 2.8× 1.1k 1.5× 737 1.1× 775 1.6× 512 1.2× 237 5.2k
Matthias Maier Germany 28 937 0.8× 639 0.9× 491 0.7× 851 1.8× 398 0.9× 102 3.2k

Countries citing papers authored by Danny Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Danny Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Pérez. A scholar is included among the top collaborators of Danny Pérez 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 Danny Pérez. Danny Pérez 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.
Janßen, Jan, et al.. (2025). Hierarchical Gaussian process-based Bayesian optimization for materials discovery in high entropy alloy spaces. Acta Materialia. 289. 120908–120908. 6 indexed citations
2.
Zhang, B. Y., Aurora E. Clark, Danny Pérez, et al.. (2025). Creation of the Separation Archive for Elements (SAFE) Database. Solvent Extraction and Ion Exchange. 43(7). 847–852.
3.
Pérez, Danny, Aidan P. Thompson, Stan Moore, et al.. (2025). Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware. The Journal of Chemical Physics. 162(7). 1 indexed citations
4.
Janßen, Jan, Michael G. Taylor, Ping Yang, Jörg Neugebauer, & Danny Pérez. (2025). Executorlib – Up-scaling Python workflows for hierarchical heterogenous high-performance computing. The Journal of Open Source Software. 10(108). 7782–7782.
5.
Lasa, A., Sophie Blondel, Dwaipayan Dasgupta, et al.. (2024). Development of multi-scale computational frameworks to solve fusion materials science challenges. Journal of Nuclear Materials. 594. 155011–155011. 1 indexed citations
6.
Lasa, A., Dwaipayan Dasgupta, M.J. Baldwin, et al.. (2024). Assessment of the literature about Be-W mixed material layer formation in the fusion reactor environment. Materials Research Express. 11(3). 32002–32002. 2 indexed citations
7.
Taylor, Michael G., et al.. (2024). On the Importance of Configuration Search to the Predictivity of Lanthanide Selectivity. SHILAP Revista de lepidopterología. 5(2). 631–641. 7 indexed citations
8.
Fattebert, Jean‐Luc, Stephen DeWitt, Pablo Seleson, et al.. (2024). Co-design for Particle Applications at Exascale. Computing in Science & Engineering. 26(2). 43–52. 1 indexed citations
9.
Wang, Yufei, Enrique R. Batista, Stosh A. Kozimor, et al.. (2024). Advancing Rare-Earth (4f) and Actinide (5f) Separation through Machine Learning and Automated High-Throughput Experiments. ACS Sustainable Chemistry & Engineering. 12(45). 16692–16699. 3 indexed citations
10.
Taylor, Michael G., et al.. (2024). Linear graphlet models for accurate and interpretable cheminformatics. Digital Discovery. 3(10). 1980–1996. 2 indexed citations
11.
Pérez, Danny & Arthur F. Voter. (2024). Accelerating atomistic simulations through self-learning bond-boost hyperdynamics. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
12.
Pérez, Danny, et al.. (2023). Validation of the single-event method for low-energy electron transport via stopping power calculations with MCNP. Radiation Physics and Chemistry. 216. 111483–111483. 2 indexed citations
13.
Lin, Yen Ting, et al.. (2023). Regression-Based Projection for Learning Mori–Zwanzig Operators. SIAM Journal on Applied Dynamical Systems. 22(4). 2890–2926. 8 indexed citations
14.
Pérez, Danny, et al.. (2022). Helium bubble facetation in tungsten thin films. Scripta Materialia. 220. 114918–114918. 8 indexed citations
15.
Martínez, Enrique, Nithin Mathew, Danny Pérez, et al.. (2021). Thermal gradient effect on helium and self-interstitial transport in tungsten. Journal of Applied Physics. 130(21). 4 indexed citations
16.
Pérez, Danny, Rao Huang, & Arthur F. Voter. (2017). Long-time molecular dynamics simulations on massively parallel platforms: A comparison of parallel replica dynamics and parallel trajectory splicing. Journal of materials research/Pratt's guide to venture capital sources. 33(7). 813–822. 15 indexed citations
17.
Pérez, Danny, Sheng‐Nian Luo, Arthur F. Voter, & Timothy C. Germann. (2013). Entropic Stabilization of Nanoscale Voids in Materials under Tension. Physical Review Letters. 110(20). 206001–206001. 7 indexed citations
18.
Borovikov, Valery, Xian-Zhu Tang, Danny Pérez, et al.. (2012). Influence of point defects on grain boundary mobility in bcc tungsten. Journal of Physics Condensed Matter. 25(3). 35402–35402. 19 indexed citations
19.
Chen, Grace, et al.. (2012). Locally disrupted synchronization in Langevin molecular dynamics. Physical Review E. 86(2). 26703–26703. 1 indexed citations
20.
Uberuaga, Blas P., Arthur F. Voter, Danny Pérez, Yunsic Shim, & Jacques G. Amar. (2009). Accelerated molecular dynamics methods: introduction and recent developments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 146(23-24). 1938–40. 42 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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