Ranji Vaidyanathan

2.0k total citations
64 papers, 1.4k citations indexed

About

Ranji Vaidyanathan is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ranji Vaidyanathan has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 15 papers in Materials Chemistry and 12 papers in Biomedical Engineering. Recurrent topics in Ranji Vaidyanathan's work include Additive Manufacturing and 3D Printing Technologies (9 papers), Fiber-reinforced polymer composites (8 papers) and Carbon Nanotubes in Composites (7 papers). Ranji Vaidyanathan is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (9 papers), Fiber-reinforced polymer composites (8 papers) and Carbon Nanotubes in Composites (7 papers). Ranji Vaidyanathan collaborates with scholars based in United States, India and United Kingdom. Ranji Vaidyanathan's co-authors include Venkat Venkatasubramanian, Bin Yuan, W. N. Sharpe, R. Lawrence Edwards, Y. Yamamoto, Enrique V. Barrera, Fernando J. Rodríguez-Macías, Meisha L. Shofner, Kunal Mishra and Paul Calvert and has published in prestigious journals such as Advanced Functional Materials, Materials Science and Engineering A and IEEE Communications Magazine.

In The Last Decade

Ranji Vaidyanathan

60 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ranji Vaidyanathan 365 325 295 227 216 64 1.4k
Shujuan Li 634 1.7× 600 1.8× 550 1.9× 299 1.3× 109 0.5× 120 1.7k
Chung‐Feng Jeffrey Kuo 263 0.7× 439 1.4× 791 2.7× 384 1.7× 172 0.8× 233 3.1k
M. Vijayakumar 150 0.4× 743 2.3× 402 1.4× 340 1.5× 211 1.0× 86 1.5k
Jiajie Fan 218 0.6× 591 1.8× 1.2k 3.9× 385 1.7× 165 0.8× 197 2.5k
Mohsen Hamedi 377 1.0× 1.0k 3.2× 505 1.7× 191 0.8× 117 0.5× 98 1.8k
Chaonan Wang 191 0.5× 187 0.6× 787 2.7× 378 1.7× 138 0.6× 130 2.2k
Yahui Wang 190 0.5× 216 0.7× 1.6k 5.4× 243 1.1× 168 0.8× 148 2.2k
Michael H. Azarian 264 0.7× 656 2.0× 866 2.9× 315 1.4× 746 3.5× 114 2.2k
Chun‐Lin Wang 149 0.4× 277 0.9× 255 0.9× 256 1.1× 210 1.0× 184 2.3k
Chengying Xu 479 1.3× 743 2.3× 723 2.5× 829 3.7× 132 0.6× 109 2.4k

Countries citing papers authored by Ranji Vaidyanathan

Since Specialization
Citations

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

Fields of papers citing papers by Ranji Vaidyanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranji Vaidyanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Ranji Vaidyanathan. A scholar is included among the top collaborators of Ranji Vaidyanathan 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 Ranji Vaidyanathan. Ranji Vaidyanathan 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.
Blum, Frank D., et al.. (2025). Process optimization for sustainable composites from post-consumer PET carpet and recycled PET resin. Composites Part B Engineering. 298. 112367–112367. 1 indexed citations
2.
Vaidyanathan, Ranji, et al.. (2025). Thermal Behavior of Polyvinylpyrrolidone on Reduced Graphene Oxide. Journal of Polymer Science. 63(8). 1898–1907. 1 indexed citations
3.
Blum, Frank D., et al.. (2023). Recycled carpet-reinforced composites from post-consumer polypropylene carpet and recycled HDPE resin. Resources Conservation and Recycling. 200. 107298–107298. 6 indexed citations
4.
Nelson, Toby L., et al.. (2021). Polyaniline doped graphene thin film to enhance the electrical conductivity in carbon fiber-reinforced composites for lightning strike mitigation. Journal of Composite Materials. 55(29). 4445–4455. 6 indexed citations
5.
Mishra, Kunal, et al.. (2019). The effect of solvent on the mechanical properties of polyhedral oligomeric silsesquioxane (POSS)–epoxy nanocomposites. SN Applied Sciences. 1(8). 5 indexed citations
6.
Khabashesku, Valéry N., Ranji Vaidyanathan, Shridhar Yarlagadda, et al.. (2011). Carbon Fiber–Bismaleimide Composites Filled with Nickel‐Coated Single‐Walled Carbon Nanotubes for Lightning‐Strike Protection. Advanced Functional Materials. 21(13). 2527–2533. 82 indexed citations
7.
Vaidyanathan, Ranji, et al.. (2007). Determinants of IPO Underpricing in the National Stock Exchange of India. SSRN Electronic Journal. 15(1). 14–14. 12 indexed citations
8.
Szivek, John A., et al.. (2007). Trabecular scaffolds created using micro CT guided fused deposition modeling. Materials Science and Engineering C. 28(1). 171–178. 86 indexed citations
9.
Szivek, John A., et al.. (2006). An instrumented scaffold can monitor loading in the knee joint. Journal of Biomedical Materials Research Part B Applied Biomaterials. 79B(2). 218–228. 12 indexed citations
10.
Peña-Parás, Laura, Valéry N. Khabashesku, Qiang Zeng, et al.. (2006). Carbon nanotube - Polymer composites: A study on electrical conductivity. 2 indexed citations
11.
Szivek, John A., Christopher P. Geffre, David S. Margolis, et al.. (2006). Porous Polybutylene Terephthalate Implants Allow for Bone Ingrowth and Provide a Well-Anchored Scaffold that Can be Used to Deliver Tissue-Engineered Cartilage. Journal of Investigative Medicine. 54(1_suppl). 116–116. 2 indexed citations
12.
Szivek, John A., et al.. (2005). TGF‐β1‐enhanced TCP‐coated sensate scaffolds can detect bone bonding. Journal of Biomedical Materials Research Part B Applied Biomaterials. 73B(1). 43–53. 12 indexed citations
13.
Wilkins, R., Merlyn Pulikkathara, Valéry N. Khabashesku, et al.. (2004). Ground-Based Space Radiation Effects Studies on Single-Walled Carbon Nanotube Materials. MRS Proceedings. 851. 9 indexed citations
14.
Ortega, Alfonso, et al.. (2004). Multi-layered SiC microchannel heat sinks - modeling and experiment. 352–360. 18 indexed citations
15.
Vaidyanathan, Ranji. (2000). Functional metal, ceramic, and composite prototypes by solid freeform fabrication. JOM. 52(12). 30–30. 3 indexed citations
16.
Vaidyanathan, Ranji. (1999). Asset-liability management: Issues and trends in Indian context. 11 indexed citations
17.
Sharpe, W. N., Bin Yuan, Ranji Vaidyanathan, & R. Lawrence Edwards. (1997). Measurements of Young's modulus, Poisson's ratio, and tensile strength of polysilicon. 424–429. 202 indexed citations
18.
Sharpe, W. N., et al.. (1996). A New Technique for Measuring Poisson's Ratio of Mems Materials. MRS Proceedings. 444. 9 indexed citations
19.
Kabadi, Vinayak N., et al.. (1995). Surface Treatment of Carbon Fibers Using Low Temperature Plasma. The Journal of Adhesion. 48(1-4). 1–24. 4 indexed citations
20.
Vaidyanathan, Ranji & Venkat Venkatasubramanian. (1992). On the nature of fault space classification structure developed by neural networks. Engineering Applications of Artificial Intelligence. 5(4). 289–297. 16 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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