Danial Khatamsaz

605 total citations
24 papers, 384 citations indexed

About

Danial Khatamsaz is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Danial Khatamsaz has authored 24 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Computational Theory and Mathematics and 9 papers in Mechanical Engineering. Recurrent topics in Danial Khatamsaz's work include Machine Learning in Materials Science (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Danial Khatamsaz is often cited by papers focused on Machine Learning in Materials Science (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Danial Khatamsaz collaborates with scholars based in United States and Germany. Danial Khatamsaz's co-authors include Raymundo Arróyave, Douglas Allaire, Brent Vela, Prashant Singh, D. D. Johnson, Ankit Srivastava, Vahid Attari, İbrahim Karaman, Arunabha M. Roy and Richard Otis and has published in prestigious journals such as Acta Materialia, AIAA Journal and Materials & Design.

In The Last Decade

Danial Khatamsaz

22 papers receiving 371 citations

Peers

Danial Khatamsaz

CTM

M.L. Bouazizi Tunisia

Haibing Yang China

Yijun Chen China

Wenqian Zhang China

Adel M. El-Refaey Egypt

Łukasz Rauch Poland

Chengzhi Liu China

Ilya Petrov Finland

Yulong Wang China

M.L. Bouazizi Tunisia

Danial Khatamsaz

107 ×0.6

99 ×0.5

27 ×0.4

CTM

44 ×0.8

12 ×0.3

Citations per year, relative to Danial Khatamsaz Danial Khatamsaz (= 1×) peers M.L. Bouazizi

Countries citing papers authored by Danial Khatamsaz

Since Specialization

Citations

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

Fields of papers citing papers by Danial Khatamsaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danial Khatamsaz

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

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

Khatamsaz, Danial, Daniel Lewis, James D. Paramore, et al.. (2025). Accelerated multi-objective alloy discovery through efficient bayesian methods: Application to the FCC high entropy alloy space. Acta Materialia. 297. 121173–121173. 1 indexed citations

Khatamsaz, Danial, Vahid Attari, & Raymundo Arróyave. (2025). Microstructure-aware Bayesian materials design. Acta Materialia. 303. 121587–121587. 1 indexed citations

Khatamsaz, Danial, et al.. (2025). A Bayesian-based approach for constitutive model selection and calibration using diverse material responses. Acta Materialia. 287. 120796–120796. 3 indexed citations

Khatamsaz, Danial, Jan Janßen, Danny Pérez, et al.. (2025). Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes. npj Computational Materials. 11(1).

Khatamsaz, Danial, Fan Min, K.C. Atli, et al.. (2024). Design of high-temperature NiTiCuHf shape memory alloys with minimum thermal hysteresis using Bayesian optimization. Acta Materialia. 286. 120651–120651. 4 indexed citations

Khatamsaz, Danial, Raymundo Arróyave, & Douglas Allaire. (2024). Asynchronous Multi-Information Source Bayesian Optimization. Journal of Mechanical Design. 146(10). 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

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

10.

Khatamsaz, Danial, Brent Vela, Prashant Singh, et al.. (2023). Bayesian optimization with active learning of design constraints using an entropy-based approach. npj Computational Materials. 9(1). 64 indexed citations

11.

Khatamsaz, Danial, et al.. (2023). A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys. npj Computational Materials. 9(1). 30 indexed citations

12.

Arróyave, Raymundo, Danial Khatamsaz, Brent Vela, et al.. (2022). A perspective on Bayesian methods applied to materials discovery and design. MRS Communications. 12(6). 1037–1049. 26 indexed citations

13.

Khatamsaz, Danial & Douglas Allaire. (2022). Materials Design using an Active Subspace Batch Bayesian Optimization Approach. AIAA SCITECH 2022 Forum. 3 indexed citations

14.

Khatamsaz, Danial, Brent Vela, Prashant Singh, et al.. (2022). Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys. Acta Materialia. 236. 118133–118133. 66 indexed citations

15.

Khatamsaz, Danial, et al.. (2021). Bayesian Optimization of Multiobjective Functions Using Multiple Information Sources. AIAA Journal. 59(6). 1964–1974. 12 indexed citations

16.

Khatamsaz, Danial, et al.. (2021). Efficiently exploiting process-structure-property relationships in material design by multi-information source fusion. Acta Materialia. 206. 116619–116619. 24 indexed citations

17.

Khatamsaz, Danial, et al.. (2021). On the importance of microstructure information in materials design: PSP vs PP. Acta Materialia. 223. 117471–117471. 21 indexed citations

18.

Khatamsaz, Danial & Douglas Allaire. (2021). A Comparison of Reification and Cokriging for Sequential Multi-Information Source Fusion. AIAA Scitech 2021 Forum. 3 indexed citations

19.

Khatamsaz, Danial, et al.. (2020). Materials Design Through Batch Bayesian Optimization with Multisource Information Fusion. JOM. 72(12). 4431–4443. 16 indexed citations

20.

Khatamsaz, Danial, et al.. (2020). Efficient Multi-Information Source Multiobjective Bayesian Optimization. AIAA Scitech 2020 Forum. 7 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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