Raymundo Arróyave

11.3k total citations · 1 hit paper
311 papers, 8.8k citations indexed

About

Raymundo Arróyave is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Raymundo Arróyave has authored 311 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Materials Chemistry, 164 papers in Mechanical Engineering and 43 papers in Electrical and Electronic Engineering. Recurrent topics in Raymundo Arróyave's work include Machine Learning in Materials Science (51 papers), Additive Manufacturing Materials and Processes (51 papers) and Shape Memory Alloy Transformations (51 papers). Raymundo Arróyave is often cited by papers focused on Machine Learning in Materials Science (51 papers), Additive Manufacturing Materials and Processes (51 papers) and Shape Memory Alloy Transformations (51 papers). Raymundo Arróyave collaborates with scholars based in United States, Germany and Russia. Raymundo Arróyave's co-authors include İbrahim Karaman, Zi‐Kui Liu, Alaa Elwany, M.S. Park, Dongwon Shin, Sean Gibbons, Anchalee Junkaew, Yi Wang, Vahid Attari and Prashant Singh and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

In The Last Decade

Raymundo Arróyave

301 papers receiving 8.6k 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.

Laser Powder Bed Fusion of Defect-Free NiTi Shape Memory Alloy Parts with Superior Tensile Superelasticity

2022 178 citations K.C. Atli, Alaa Elwany et al. Acta Materialia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raymundo Arróyave United States	51	5.1k	5.0k	1.3k	1.2k	953	311	8.8k
Yin Zhang China	35	5.0k 1.0×	2.4k 0.5×	1.2k 0.9×	2.0k 1.7×	681 0.7×	166	7.8k
Wei Zhou Singapore	46	5.8k 1.1×	3.2k 0.6×	1.6k 1.3×	1.3k 1.1×	331 0.3×	416	9.2k
Louis G. Hector United States	53	5.3k 1.0×	5.0k 1.0×	2.1k 1.7×	1.2k 1.0×	458 0.5×	209	10.0k
Hamid Garmestani United States	48	2.6k 0.5×	3.3k 0.7×	1.4k 1.1×	509 0.4×	808 0.8×	246	7.1k
Yunzhi Wang United States	50	5.0k 1.0×	5.9k 1.2×	497 0.4×	1.6k 1.3×	891 0.9×	238	8.3k
Hsin Wang United States	50	1.6k 0.3×	5.0k 1.0×	3.3k 2.6×	1.1k 0.9×	911 1.0×	218	8.5k
James E. Saal United States	35	2.4k 0.5×	5.3k 1.1×	1.3k 1.0×	1.1k 1.0×	803 0.8×	76	7.4k
Patrick S. Grant United Kingdom	51	3.3k 0.6×	2.9k 0.6×	3.9k 3.1×	2.6k 2.3×	2.4k 2.5×	282	9.5k
Rajeev Gupta United States	43	2.7k 0.5×	3.1k 0.6×	985 0.8×	1.7k 1.5×	247 0.3×	243	6.4k
Yanjing Su China	47	3.2k 0.6×	6.4k 1.3×	1.9k 1.5×	917 0.8×	887 0.9×	404	9.3k

Countries citing papers authored by Raymundo Arróyave

Since Specialization

Citations

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

Fields of papers citing papers by Raymundo Arróyave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymundo Arróyave

This figure shows the co-authorship network connecting the top 25 collaborators of Raymundo Arróyave. A scholar is included among the top collaborators of Raymundo Arróyave 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 Raymundo Arróyave. Raymundo Arróyave 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

Paramore, James D., Brady G. Butler, José Luis Cortés, et al.. (2025). Two-shot optimization of compositionally complex refractory alloys. Acta Materialia. 289. 120820–120820. 1 indexed citations

Singh, Prashant, William Trehern, Brent Vela, et al.. (2024). Understanding the effect of refractory metal chemistry on the stacking fault energy and mechanical property of Cantor-based multi-principal element alloys. International Journal of Plasticity. 179. 104020–104020. 22 indexed citations

Singh, Prashant, Brent Vela, Prince Sharma, et al.. (2024). Alloying effects on the transport properties of refractory high-entropy alloys. Acta Materialia. 276. 120032–120032. 14 indexed citations

Arróyave, Raymundo, et al.. (2024). Deciphering chemical ordering in High Entropy Materials: A machine learning-accelerated high-throughput cluster expansion approach. Acta Materialia. 276. 120137–120137. 13 indexed citations

Woo, Kyung Seok, Timothy D. Brown, Minseong Park, et al.. (2024). True random number generation using the spin crossover in LaCoO3. Nature Communications. 15(1). 4656–4656. 20 indexed citations

Mendelev, Mikhail I., et al.. (2024). Determination of γ/γ′ interface free energy for solid state precipitation in Ni–Al alloys from molecular dynamics simulation. The Journal of Chemical Physics. 161(4). 1 indexed citations

Vela, Brent, et al.. (2023). Data-augmented modeling for yield strength of refractory high entropy alloys: A Bayesian approach. Acta Materialia. 261. 119351–119351. 31 indexed citations

Huang, Xueqin, Joel Berry, Aurélien Perron, & Raymundo Arróyave. (2023). A comparative study of Kim-Kim-Suzuki (KKS), Partition Coefficient Relaxation (PCR), and Finite Interface Dissipation (FID) phase field models for rapid solidification. Additive manufacturing. 74. 103704–103704. 3 indexed citations

Singh, Prashant, Brent Vela, Gaoyuan Ouyang, et al.. (2023). A ductility metric for refractory-based multi-principal-element alloys. Acta Materialia. 257. 119104–119104. 40 indexed citations

10.

Dickerson, Matthew B., et al.. (2023). Nucleation and growth of SiC at the interface between molten Si and graphite. Ceramics International. 49(12). 20041–20050. 4 indexed citations

11.

Trehern, William, et al.. (2023). An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys. Computational Materials Science. 226. 112225–112225. 8 indexed citations

12.

Attari, Vahid, Danial Khatamsaz, Douglas Allaire, & Raymundo Arróyave. (2023). Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders. Acta Materialia. 259. 119204–119204. 27 indexed citations

13.

Huang, Xueqin, Raiyan Seede, Kübra Karayağız, et al.. (2023). Predictive microstructure distribution and printability maps in laser powder bed fusion for a Ni–Cu alloy. Computational Materials Science. 231. 112605–112605. 4 indexed citations

14.

Boyce, Brad, Rémi Dingreville, Saaketh Desai, et al.. (2023). Machine learning for materials science: Barriers to broader adoption. Matter. 6(5). 1320–1323. 12 indexed citations

15.

Wilson, Nathan M., Xiaoning Qian, Xiaoning Qian, et al.. (2022). Batch active learning for accelerating the development of interatomic potentials. Computational Materials Science. 208. 111330–111330. 13 indexed citations

16.

Salas, D., Yuhao Wang, Thien Duong, et al.. (2019). Effects of composition and crystallographic ordering on the ferromagnetic transition in Ni Co Mn In magnetic shape memory alloys. Acta Materialia. 166. 630–637. 7 indexed citations

17.

Atli, K.C., et al.. (2019). 4D Printing of Metallic Functional Materials. AM&P Technical Articles. 177(5). 16–21. 1 indexed citations

18.

Arróyave, Raymundo, et al.. (2017). Out-of-plane ordering in quaternary MAX alloys: an alloy theoretic perspective. Materials Research Letters. 6(1). 1–12. 7 indexed citations

19.

Talapatra, Anjana, et al.. (2016). Ab-initio investigation of the finite-temperatures structural, elastic, and thermodynamic properties of Ti3AlC2 and Ti3SiC2. Computational Materials Science. 124. 420–427. 13 indexed citations

20.

Arróyave, Raymundo & Zi‐Kui Liu. (2005). Thermodynamics of Mg-Zn-Zr: Implication on the effect of Zr on grain refining of Mg-Zn alloys. 203–208. 4 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.

Explore authors with similar magnitude of impact