S. Raja

1.5k total citations
53 papers, 763 citations indexed

About

S. Raja is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, S. Raja has authored 53 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Automotive Engineering, 24 papers in Mechanical Engineering and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in S. Raja's work include Additive Manufacturing and 3D Printing Technologies (32 papers), Manufacturing Process and Optimization (14 papers) and Injection Molding Process and Properties (7 papers). S. Raja is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (32 papers), Manufacturing Process and Optimization (14 papers) and Injection Molding Process and Properties (7 papers). S. Raja collaborates with scholars based in India, Ethiopia and United States. S. Raja's co-authors include A. John Rajan, J. Logeshwaran, S. Venkatasubramanian, S. Kaliappan, Wubishet Degife Mammo, S. Sekar, N. G. Olaiya, Avvaru Praveen Kumar, Pravin P. Patil and Pravin P. Patil and has published in prestigious journals such as Scientific Reports, International Journal of Biological Macromolecules and Polymers.

In The Last Decade

S. Raja

43 papers receiving 726 citations

Peers

S. Raja
Yue Luo China
Artur Mateus Portugal
Lequn Chen Singapore
Logan Sturm United States
Muhammad Harris New Zealand
Albert E. Patterson United States
Ilesanmi Daniyan South Africa
Yao Chen China
Yue Luo China
S. Raja
Citations per year, relative to S. Raja S. Raja (= 1×) peers Yue Luo

Countries citing papers authored by S. Raja

Since Specialization
Citations

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

Fields of papers citing papers by S. Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Raja

This figure shows the co-authorship network connecting the top 25 collaborators of S. Raja. A scholar is included among the top collaborators of S. Raja 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 S. Raja. S. Raja 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
1.
Raja, S., et al.. (2025). Harmonious ageing: a narrative review of music therapy in the biomedical literature. European Geriatric Medicine. 16(2). 461–472.
3.
8.
Raja, S., et al.. (2024). Tailored microstructure control in Additive Manufacturing: Constant and varying energy density approach for nickel 625 superalloy. Materials Letters. 375. 137249–137249. 3 indexed citations
9.
Raja, S., et al.. (2024). Analysis and Optimization of Thermoplastic Polyurethane Infill Patterns for Additive Manufacturing in Pipeline Applications. Advances in Polymer Technology. 2024(1). 3 indexed citations
11.
Raja, S., et al.. (2024). Utilizing Additive Manufacturing for Fabricating Energy Storage Components From Graphene‐Reinforced Thermoplastic Composites. Advances in Polymer Technology. 2024(1). 6 indexed citations
12.
Raja, S., et al.. (2024). Machine Learning-Based Crop Yield Prediction in South India: Performance Analysis of Various Models. Computers. 13(6). 137–137. 16 indexed citations
13.
Armghan, Ammar, J. Logeshwaran, S. Raja, et al.. (2024). Performance optimization of energy-efficient solar absorbers for thermal energy harvesting in modern industrial environments using a solar deep learning model. Heliyon. 10(4). e26371–e26371. 25 indexed citations
14.
Raja, S., Mostafa Mehrabi Bahar, Mustafa M. Kadhim, et al.. (2024). Minimizing environmental footprint in FDM additive manufacturing: Analyzing process efficiency through advanced optimization techniques. 7(4). 1 indexed citations
15.
Venkatasubramanian, S., et al.. (2023). Prediction of Alzheimer’s Disease Using DHO‐Based Pretrained CNN Model. Mathematical Problems in Engineering. 2023(1). 39 indexed citations
16.
Mustafa, Mohammed Ahmed, et al.. (2023). A Decision-Making Carbon Reinforced Material Selection Model for Composite Polymers in Pipeline Applications. Advances in Polymer Technology. 2023. 1–9. 17 indexed citations
17.
Raja, S. & A. John Rajan. (2023). SELECTION OF POLYMER EXTRUSION PARAMETERS BY FACTORIAL EXPERIMENTAL DESIGN – A DECISION MAKING MODEL. Scientia Iranica. 0(0). 0–0. 13 indexed citations
18.
Raja, S. & A. John Rajan. (2023). Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective. Advances in Polymer Technology. 2023. 1–18. 21 indexed citations
19.
Olaiya, N. G., Chrysanthos Maraveas, Mohamed A. Salem, et al.. (2022). Viscoelastic and Properties of Amphiphilic Chitin in Plasticised Polylactic Acid/Starch Biocomposite. Polymers. 14(11). 2268–2268. 28 indexed citations
20.
Raja, S., et al.. (2022). Optimization of 3D Printing Process Parameters of Polylactic Acid Filament Based on the Mechanical Test. International Journal of Chemical Engineering. 2022(1). 42 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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