Anuj Goyal

1.5k total citations
25 papers, 1.2k citations indexed

About

Anuj Goyal is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Anuj Goyal has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Anuj Goyal's work include Machine Learning in Materials Science (6 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Electronic and Structural Properties of Oxides (5 papers). Anuj Goyal is often cited by papers focused on Machine Learning in Materials Science (6 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Electronic and Structural Properties of Oxides (5 papers). Anuj Goyal collaborates with scholars based in United States, India and United Kingdom. Anuj Goyal's co-authors include Vladan Stevanović, Prashun Gorai, Eric S. Toberer, Stephan Lany, Dimitar Pashov, William Tumas, Mark van Schilfgaarde, Scott McKechnie, Haowei Peng and Simon R. Phillpot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Anuj Goyal

23 papers receiving 1.2k citations

Peers

Anuj Goyal

EEE

EOMM

AMPO

Tie‐Yu Lü China

А.К. Fedotov Belarus

Zhixi Bian United States

Jiahao Zhang China

Dong-Jin Kim South Korea

Takuma Shiga Japan

Shin-Puu Jeng Taiwan

Cong Tinh Bui Singapore

A. Mzerd Morocco

Samuel Huberman United States

Tie‐Yu Lü China

Anuj Goyal

1.1k ×1.1

516 ×0.8

EEE

52 ×0.4

88 ×0.8

EOMM

179 ×1.7

AMPO

Citations per year, relative to Anuj Goyal Anuj Goyal (= 1×) peers Tie‐Yu Lü

Countries citing papers authored by Anuj Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Anuj Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Goyal

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

Dzara, Michael J., Robert Bell, Anuj Goyal, et al.. (2025). Large-scale experimental validation of thermochemical water-splitting oxides discovered by defect graph neural networks. Materials Horizons. 13(2). 829–839.

Goyal, Anuj, Michael Sanders, Ryan O’Hayre, & Stephan Lany. (2024). Predicting Thermochemical Equilibria with Interacting Defects: Sr1−xCexMnO3−δ Alloys for Water Splitting. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

Goyal, Anuj, Michael J. Dzara, James Eujin Park, et al.. (2024). Interlayer Ions Control Spin Canting in Low-Dimensional Manganese Trimers in 12R-Ba₄MMn₃O₁₂ (M = Ce, Pr) Layered Perovskites. Inorganic Chemistry. 63(51). 24176–24186.

Shulda, Sarah, Anuj Goyal, Robert Bell, et al.. (2023). Investigating the Electronic Structure of Prospective Water-Splitting Oxide BaCe_0.25Mn_0.75O_3−δ before and after Thermal Reduction. Chemistry of Materials. 35(5). 1935–1947. 3 indexed citations

Witman, Matthew, Anuj Goyal, Tadashi Ogitsu, Anthony H. McDaniel, & Stephan Lany. (2023). Defect graph neural networks for materials discovery in high-temperature clean-energy applications. Nature Computational Science. 3(8). 675–686. 37 indexed citations

Park, James Eujin, Anuj Goyal, Robert Bell, et al.. (2022). Formation of 6H-Ba₃Ce_0.75Mn_2.25O₉ during Thermochemical Reduction of 12R-Ba₄CeMn₃O₁₂: Identification of a Polytype in the Ba(Ce,Mn)O₃ Family. Inorganic Chemistry. 61(16). 6128–6137. 8 indexed citations

Sun, Shijing, Armi Tiihonen, Felipe Oviedo, et al.. (2021). A data fusion approach to optimize compositional stability of halide perovskites. Matter. 4(4). 1305–1322. 111 indexed citations

Goyal, Anuj, Yangzhong Li, Aleksandr Chernatynskiy, et al.. (2020). The influence of alloying on the stacking fault energy of gold from density functional theory calculations. Computational Materials Science. 188. 110236–110236. 20 indexed citations

Goyal, Anuj, Prashun Gorai, Shashwat Anand, et al.. (2020). On the Dopability of Semiconductors and Governing Material Properties. Chemistry of Materials. 32(11). 4467–4480. 41 indexed citations

10.

Gorai, Prashun, Anuj Goyal, Eric S. Toberer, & Vladan Stevanović. (2019). A simple chemical guide for finding novel n-type dopable Zintl pnictide thermoelectric materials. Journal of Materials Chemistry A. 7(33). 19385–19395. 32 indexed citations

11.

Goyal, Anuj, Kiran Mathew, Richard G. Hennig, et al.. (2019). The Conundrum of Relaxation Volumes in First-Principles Calculations of Charged Defects in UO2. Applied Sciences. 9(24). 5276–5276. 14 indexed citations

12.

Male, James P., Matthias T. Agne, Anuj Goyal, et al.. (2019). The importance of phase equilibrium for doping efficiency: iodine doped PbTe. Materials Horizons. 6(7). 1444–1453. 46 indexed citations

13.

Goyal, Anuj, Scott McKechnie, Dimitar Pashov, et al.. (2018). Origin of Pronounced Nonlinear Band Gap Behavior in Lead–Tin Hybrid Perovskite Alloys. Chemistry of Materials. 30(11). 3920–3928. 218 indexed citations

14.

Goyal, Anuj, Prashun Gorai, Eric S. Toberer, & Vladan Stevanović. (2017). Publisher Correction: First-principles calculation of intrinsic defect chemistry and self-doping in PbTe. npj Computational Materials. 3(1). 2 indexed citations

15.

Miller, Samuel A., Prashun Gorai, Brenden R. Ortiz, et al.. (2017). Capturing Anharmonicity in a Lattice Thermal Conductivity Model for High-Throughput Predictions. Chemistry of Materials. 29(6). 2494–2501. 88 indexed citations

16.

Goyal, Anuj. (2015). Multiscale computational modeling of defects in uranium dioxide. 1 indexed citations

17.

Li, Yangzhong, Anuj Goyal, Aleksandr Chernatynskiy, et al.. (2015). Nanoindentation of gold and gold alloys by molecular dynamics simulation. Materials Science and Engineering A. 651. 346–357. 61 indexed citations

18.

Goyal, Anuj, Simon R. Phillpot, Gopinath Subramanian, et al.. (2015). Impact of homogeneous strain on uranium vacancy diffusion in uranium dioxide. Physical Review B. 91(9). 27 indexed citations

19.

Choudhary, Kamal, Tao Liang, Aleksandr Chernatynskiy, et al.. (2014). Charge optimized many-body potential for aluminum. Journal of Physics Condensed Matter. 27(1). 15003–15003. 18 indexed citations

20.

Goyal, Anuj, et al.. (2013). Segregation of ruthenium to edge dislocations in uranium dioxide. Journal of Nuclear Materials. 441(1-3). 96–102. 9 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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