Prem Sagar

456 total citations
30 papers, 338 citations indexed

About

Prem Sagar is a scholar working on Mechanical Engineering, Materials Chemistry and Biomaterials. According to data from OpenAlex, Prem Sagar has authored 30 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 20 papers in Materials Chemistry and 6 papers in Biomaterials. Recurrent topics in Prem Sagar's work include Aluminum Alloys Composites Properties (18 papers), MXene and MAX Phase Materials (12 papers) and Advanced Welding Techniques Analysis (10 papers). Prem Sagar is often cited by papers focused on Aluminum Alloys Composites Properties (18 papers), MXene and MAX Phase Materials (12 papers) and Advanced Welding Techniques Analysis (10 papers). Prem Sagar collaborates with scholars based in India, United States and United Kingdom. Prem Sagar's co-authors include Amit Handa, T.K. Nandy, D. Banerjee, Y. V. R. K. Prasad, Partha Ghosal, K. Muraleedharan, R. Sivakumar, Amardeep Singh Kang, Amit Bhattacharjee and G. Sundararajan and has published in prestigious journals such as Materials Science and Engineering A, Metallurgical and Materials Transactions A and Materials Science and Technology.

In The Last Decade

Prem Sagar

29 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prem Sagar India 11 284 188 69 64 55 30 338
Sonia Boczkal Poland 9 322 1.1× 248 1.3× 122 1.8× 108 1.7× 89 1.6× 56 393
Nagaraj M. Chelliah India 10 303 1.1× 166 0.9× 156 2.3× 86 1.3× 71 1.3× 15 369
D. V. Prosvirnin Russia 11 293 1.0× 252 1.3× 122 1.8× 118 1.8× 38 0.7× 71 380
Fabrizio D’Errico Italy 9 200 0.7× 94 0.5× 25 0.4× 94 1.5× 54 1.0× 32 266
Sotomi ISHIHARA Japan 8 292 1.0× 96 0.5× 101 1.5× 157 2.5× 67 1.2× 65 344
Chandra S. Perugu India 15 447 1.6× 256 1.4× 48 0.7× 54 0.8× 110 2.0× 25 498
E. Rodríguez Mexico 7 139 0.5× 140 0.7× 28 0.4× 80 1.3× 97 1.8× 22 256
Guochao Gu China 10 251 0.9× 182 1.0× 116 1.7× 109 1.7× 88 1.6× 26 378
A. Razal Rose India 6 352 1.2× 81 0.4× 166 2.4× 40 0.6× 91 1.7× 14 358
H.W. Wang China 13 388 1.4× 259 1.4× 45 0.7× 59 0.9× 176 3.2× 21 415

Countries citing papers authored by Prem Sagar

Since Specialization
Citations

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

Fields of papers citing papers by Prem Sagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prem Sagar

This figure shows the co-authorship network connecting the top 25 collaborators of Prem Sagar. A scholar is included among the top collaborators of Prem Sagar 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 Prem Sagar. Prem Sagar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mohankumar, Ashokkumar, et al.. (2025). Multi-fidelity machine learning-driven metaheuristic optimization of friction stir processing for enhanced performance in hybrid surface composites. Materials Today Communications. 46. 112778–112778. 2 indexed citations
3.
Sagar, Prem, et al.. (2024). Synergistic effect of hybrid reinforcement on magnesium-based composites for enriching mechanical and tribological characteristics. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(5). 2915–2928. 9 indexed citations
4.
Sagar, Prem, et al.. (2024). Magnesium‐based nanocomposites developed through multi‐pass friction stir processing and strengthening mechanisms exploration. Materialwissenschaft und Werkstofftechnik. 55(6). 758–772. 6 indexed citations
5.
6.
Sagar, Prem. (2024). Synthesis and characterization of magnesium-titanium carbide nanocomposites via friction stir processing: An in-depth parameter investigation. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 238(15). 7676–7689. 4 indexed citations
7.
8.
Kang, Amardeep Singh, et al.. (2023). Author Correction: Recent Advances in Magnesium-Based Metal Matrix Surface Composites Developed via Friction Stir Processing Route—An Overview. Metallography Microstructure and Analysis. 12(6). 1068–1068.
9.
Sagar, Prem & Amit Handa. (2023). Exploring the mechanical, metallurgical, and fracture characteristics of hybrid-reinforced magnesium metal matrix composite synthesized via friction stir processing route. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 238(5). 829–844. 8 indexed citations
10.
Sagar, Prem, et al.. (2021). Metallurgical, mechanical and tribological behavior of Reinforced magnesium-based composite developed Via Friction stir processing. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 236(4). 1440–1451. 16 indexed citations
11.
Sagar, Prem & Amit Handa. (2020). A comprehensive review of recent progress in fabrication of magnesium base composites by friction stir processing technique—A review. AIMS Materials Science. 7(5). 684–704. 19 indexed citations
12.
Sagar, Prem & Amit Handa. (2020). Role of tool rotational speed on thetribological characteristics of magnesiumbased AZ61A/TiC composite developed viafriction stir processing route. Journal of Achievements of Materials and Manufacturing Engineering. 2(101). 60–75. 7 indexed citations
13.
14.
Sagar, Prem & Amit Handa. (2020). Prediction of wear resistance model for magnesium metal composite by response surface methodology using central composite design. World Journal of Engineering. 18(2). 316–327. 11 indexed citations
15.
Sagar, Prem & Amit Handa. (2020). Wear Resistance Prediction Model for Magnesium Metal Composite by Response Surface Methodology using Central Composite Design. International Journal of Performability Engineering. 16(10). 1525–1525. 1 indexed citations
16.
Rao, Ch. Srinivasa, et al.. (2018). Optical properties of Na2SO4–B2O3–P2O5 glasses doped with TiO2. Materials Today Proceedings. 5(13). 26217–26222. 10 indexed citations
17.
Sagar, Prem. (2006). Effect of alloying elements and microstructure on the processing parameters of α2 aluminide alloys. Materials Science and Engineering A. 434(1-2). 259–268. 13 indexed citations
18.
Sagar, Prem, D. Banerjee, K. Muraleedharan, & Y. V. R. K. Prasad. (1996). High-temperature deformation processing of Ti-24Al-20Nb. Metallurgical and Materials Transactions A. 27(9). 2593–2604. 25 indexed citations
19.
Sagar, Prem, D. Banerjee, & Y. V. R. K. Prasad. (1994). Processing of an α-2 aluminide alloy, Ti24Al11Nb. Materials Science and Engineering A. 177(1-2). 185–197. 17 indexed citations
20.
Sagar, Prem, et al.. (1990). On the anomalous flow behaviour of nickel aluminide. Scripta Metallurgica et Materialia. 24(2). 257–262. 6 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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