Prashant Singh

3.2k total citations · 1 hit paper
114 papers, 2.4k citations indexed

About

Prashant Singh is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Prashant Singh has authored 114 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 44 papers in Mechanical Engineering and 31 papers in Aerospace Engineering. Recurrent topics in Prashant Singh's work include High Entropy Alloys Studies (32 papers), High-Temperature Coating Behaviors (27 papers) and Machine Learning in Materials Science (14 papers). Prashant Singh is often cited by papers focused on High Entropy Alloys Studies (32 papers), High-Temperature Coating Behaviors (27 papers) and Machine Learning in Materials Science (14 papers). Prashant Singh collaborates with scholars based in United States, India and United Kingdom. Prashant Singh's co-authors include D. D. Johnson, A. V. Smirnov, Raymundo Arróyave, Ganesh Balasubramanian, Santosh Kumar Behera, C.N. Ghosh, Devi Prasad Mishra, Krushna Gopal Mishra, Brent Vela and John Buragohain and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Prashant Singh

103 papers receiving 2.3k 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.

Utilization of mill tailings, fly ash and slag as mine paste backfill material: Review and future perspective

2021 226 citations Prashant Singh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prashant Singh United States	27	1.2k	838	644	437	401	114	2.4k
Song Gao China	31	1.5k 1.2×	610 0.7×	629 1.0×	160 0.4×	410 1.0×	155	3.0k
Zhihua Gan China	31	1.4k 1.2×	411 0.5×	998 1.5×	52 0.1×	141 0.4×	196	3.6k
Mao Zhang China	23	1.0k 0.8×	587 0.7×	567 0.9×	107 0.2×	217 0.5×	123	1.8k
Yang Chen China	27	1.4k 1.2×	846 1.0×	697 1.1×	82 0.2×	404 1.0×	130	2.3k
Xiangyu Zhang China	22	545 0.4×	739 0.9×	138 0.2×	135 0.3×	412 1.0×	123	1.7k
Hongming Zhang China	27	409 0.3×	585 0.7×	650 1.0×	119 0.3×	357 0.9×	101	2.3k
Jie Lu China	28	1.1k 0.9×	574 0.7×	1.1k 1.7×	110 0.3×	130 0.3×	88	1.9k
Peng Song China	31	1.4k 1.1×	1.8k 2.1×	1.4k 2.2×	55 0.1×	459 1.1×	228	3.1k
Zhimin Dai China	23	741 0.6×	996 1.2×	518 0.8×	155 0.4×	42 0.1×	107	2.2k
Xiang Chen China	35	2.2k 1.8×	1.7k 2.1×	649 1.0×	39 0.1×	889 2.2×	164	3.8k

Countries citing papers authored by Prashant Singh

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Singh

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

Ahmed, A.M., Ajay Kumar, Prashant Singh, et al.. (2025). Anomalous Hall effect in the polar magnet Gd3Ni8Sn4: A candidate for hosting skyrmions. Physical review. B.. 111(10). 1 indexed citations

Hao, Shiqiang, Prashant Singh, A. V. Smirnov, et al.. (2025). Developing reliable machine learning interatomic potential for Fe–Cr–Ni austenitic alloys. Journal of Applied Physics. 138(8).

Argibay, Nicolas, D. D. Johnson, Michael Chandross, et al.. (2025). An energetic link between order and strength in metals: A nanocrystalline strength limit in high-entropy alloys and intermetallic compounds. Acta Materialia. 290. 120990–120990. 1 indexed citations

Singh, Prashant, et al.. (2025). Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn ₂ PdIn. Advanced Functional Materials. 36(14). 1 indexed citations

Sarkar, A., et al.. (2025). Ligand Hole Driven Metal–Insulator Transition Exemplified in a Layered Transition Metal Oxide. Chemistry of Materials. 37(13). 4607–4616.

Witman, Matthew, et al.. (2025). Design of lightweight BCC multi-principal element alloys with enhanced hydrogen storage using a machine learning-driven genetic algorithm. Journal of Materials Chemistry A. 13(47). 41274–41289. 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

Sharma, Prince, D. D. Johnson, Ganesh Balasubramanian, & Prashant Singh. (2024). Unraveling the connection of electronic and phononic structure with mechanical properties of commercial AZ80 alloy. Materials Letters. 366. 136501–136501. 12 indexed citations

10.

Singh, Prashant, et al.. (2024). Design and Synthesis of PtPdNiCoMn High‐Entropy Alloy Electrocatalyst for Enhanced Alkaline Hydrogen Evolution Reaction: A Theoretically Supported Predictive Design Approach. Advanced Functional Materials. 35(17). 16 indexed citations

11.

Sharma, Prince, Prashant Singh, & Ganesh Balasubramanian. (2024). Engineering phonon transport through cation disorder in dimensionally constricted high entropy MXene. Carbon. 223. 119015–119015. 29 indexed citations

12.

Ouyang, Gaoyuan, Prashant Singh, Pratik K. Ray, et al.. (2024). Predictive design of novel nickel-based superalloys beyond Haynes 282. Acta Materialia. 275. 120045–120045. 9 indexed citations

13.

Sharma, Prince, et al.. (2024). Solid State Reduction Driven Synthesis of Mn Containing Multi-principal Component Alloys. Metallurgical and Materials Transactions A. 55(10). 3799–3808. 11 indexed citations

14.

Singh, Prashant, D. D. Johnson, Emma White, et al.. (2024). Theory-guided design of duplex-phase multi-principal-element alloys. Acta Materialia. 272. 119952–119952. 8 indexed citations

15.

Shivam, Vikas, Yagnesh Shadangi, Prashant Singh, et al.. (2024). Effect of Zn Addition on Phase Evolution in AlCrFeCoNiZn High‐Entropy Alloy. Advanced Engineering Materials. 27(6). 5 indexed citations

16.

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

17.

Roy, Ankit, Prince Sharma, Ganesh Balasubramanian, et al.. (2023). Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model. Acta Materialia. 257. 119177–119177. 33 indexed citations

18.

Raju, Kumar, et al.. (2023). High Mass Loading of Flowerlike Ni-MoS₂ Microspheres toward Efficient Intercalation Pseudocapacitive Electrodes. ACS Applied Energy Materials. 6(4). 2187–2198. 19 indexed citations

19.

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

20.

Singh, Prashant, et al.. (2017). Analysis of HVDC Power Transmission Line with Unique Power Control Room. International Journal of Science and Research (IJSR). 6(1). 1465–1471.

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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