Prashant Singh

3.4k citations
114 papers · 2.6k · 1 hit paper · h-index 28

Impact in

Papers in

    • Machine Learning in Materials Science 13
    • MXene and MAX Phase Materials 11
    • High Entropy Alloys Studies 33
    • Additive Manufacturing Materials and Processes 12
    • Intermetallics and Advanced Alloy Properties 11

Prashant Singh

106 papers receiving 2.5k citations

Prashant Singh's Hit Papers

Utilization of mill tailings, fly ash and slag as mine paste backfill material: Review and future perspective 2021 · 238 citations
2380+1+3Years since publication50100150200

Peers

Prashant Singh
Comparison fields: 5 of 79
  • Mechanical Engineering 1.3k
  • Aerospace Engineering 655
  • Civil and Structural Engineering 452
  • Materials Chemistry 876
  • Metals and Alloys 46
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Prashant Singh relative to Song Gao China Song Gao's profile →
Citations per field
00.5×2.7×
Song Gao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Prashant Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashant Singh Line = papers co-authored together Prashant Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Utilization of mill tailings, fly ash and slag as mine paste backfill material: Review and future perspective
Hit paper breakdown →
2021238
2 2015183
3 2020128
4 2021114
5 201692
6 202281
7 201581
8 202178
9 202272
10 202369
11 202066
12 201859
13 201457
14 202152
15 202252
16 202050
17 202347
18 202347
19 201941
20 202339

About Prashant Singh

Prashant Singh is a scholar working on Materials Chemistry, Mechanical Engineering, Aerospace Engineering, Electronic, Optical and Magnetic Materials and Mechanics of Materials, having authored 114 papers that have together received 2.6k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (33 papers), High-Temperature Coating Behaviors (27 papers), Machine Learning in Materials Science (13 papers), Additive Manufacturing Materials and Processes (12 papers), Intermetallics and Advanced Alloy Properties (11 papers), MXene and MAX Phase Materials (11 papers), Tailings Management and Properties (9 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). The work is most often cited by research in Mechanical Engineering (1.3k citations), Aerospace Engineering (655 citations), Civil and Structural Engineering (452 citations), Materials Chemistry (876 citations) and Metals and Alloys (46 citations). Prashant Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent 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 Aftab Alam. Their work appears in journals such as Acta Materialia, Physical review. B., Physical Review Materials, Chemistry of Materials and npj Computational Materials.

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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