S. Savithri

1.3k total citations
45 papers, 1.0k citations indexed

About

S. Savithri is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, S. Savithri has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 12 papers in Biomedical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in S. Savithri's work include Composite Structure Analysis and Optimization (5 papers), Fluid Dynamics and Mixing (5 papers) and Structural Analysis and Optimization (4 papers). S. Savithri is often cited by papers focused on Composite Structure Analysis and Optimization (5 papers), Fluid Dynamics and Mixing (5 papers) and Structural Analysis and Optimization (4 papers). S. Savithri collaborates with scholars based in India, Australia and United States. S. Savithri's co-authors include Panneerselvam Ranganathan, G. D. Surender, T.K. Varadan, Rajeev K. Sukumaran, Sankar Vani, Ashok Pandey, Ayyappanpillai Ajayaghosh, Kizhmuri P. Divya, S. Ananthakumar and U.T.S. Pillai and has published in prestigious journals such as Langmuir, Bioresource Technology and Chemical Communications.

In The Last Decade

S. Savithri

44 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Savithri India 18 464 250 235 190 125 45 1.0k
Shaofeng Zhang China 19 452 1.0× 222 0.9× 258 1.1× 301 1.6× 164 1.3× 90 1.1k
Asghar Alizadehdakhel Iran 15 357 0.8× 242 1.0× 502 2.1× 134 0.7× 144 1.2× 38 1.1k
Christine Francès France 22 354 0.8× 183 0.7× 453 1.9× 398 2.1× 193 1.5× 64 1.3k
R. Uppaluri India 19 339 0.7× 109 0.4× 391 1.7× 449 2.4× 218 1.7× 32 1.2k
Akira Ohkawa Japan 18 601 1.3× 252 1.0× 241 1.0× 361 1.9× 114 0.9× 106 1.1k
Hiromoto Usui Japan 20 415 0.9× 339 1.4× 522 2.2× 80 0.4× 104 0.8× 112 1.2k
Z. Jaworski Poland 21 806 1.7× 519 2.1× 298 1.3× 246 1.3× 282 2.3× 74 1.3k
Shijie Yu China 23 526 1.1× 124 0.5× 359 1.5× 128 0.7× 469 3.8× 75 1.6k
F. A. P. Garcia Portugal 21 227 0.5× 119 0.5× 175 0.7× 269 1.4× 44 0.4× 64 1.2k
Lian X. Liu Australia 20 204 0.4× 493 2.0× 507 2.2× 192 1.0× 222 1.8× 78 1.3k

Countries citing papers authored by S. Savithri

Since Specialization
Citations

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

Fields of papers citing papers by S. Savithri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Savithri. A scholar is included among the top collaborators of S. Savithri 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. Savithri. S. Savithri 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.
Savithri, S., et al.. (2025). Hydrothermal synthesis of NiCo2O4 Nanorods: A promising electrode material for supercapacitors with enhanced capacitance and stability. Chemical Physics Letters. 869. 142028–142028. 5 indexed citations
2.
Lokhat, David, et al.. (2023). Infrared-based machine learning models for the rapid quantification of lignocellulosic multi-feedstock composition. Bioresource Technology Reports. 25. 101747–101747. 1 indexed citations
3.
Sukumaran, Rajeev K., et al.. (2023). Rapid quantification of lignocellulose composition in rice straw varieties using artificial neural networks and FTIR spectroscopic data. Biomass Conversion and Biorefinery. 15(21). 28093–28111. 6 indexed citations
4.
Savithri, S., et al.. (2022). Modelling and simulation of food waste bio-drying. Chemosphere. 294. 133711–133711. 6 indexed citations
5.
Sankar, Meena, et al.. (2022). Rapid estimation of the chemical composition of rice straw using FTIR spectroscopy: a chemometric investigation. Biomass Conversion and Biorefinery. 14(11). 11829–11847. 12 indexed citations
6.
Haridas, Ajit, et al.. (2021). Development of mathematical model and experimental Validation for batch bio-drying of municipal solid waste: Mass balances. Chemosphere. 287(Pt 3). 132272–132272. 8 indexed citations
7.
Ananthakumar, S., et al.. (2019). Superswelling Hybrid Sponge from Water Glass for Selective Absorption of Crude Oil and Organic Solvents. ACS Omega. 4(19). 17990–18001. 11 indexed citations
9.
Ranganathan, Panneerselvam & S. Savithri. (2019). Techno-economic analysis of microalgae-based liquid fuels production from wastewater via hydrothermal liquefaction and hydroprocessing. Bioresource Technology. 284. 256–265. 93 indexed citations
10.
Ranganathan, Panneerselvam & S. Savithri. (2018). Computational Fluid Dynamics simulation of hydrothermal liquefaction of microalgae in a continuous plug-flow reactor. Bioresource Technology. 258. 151–157. 35 indexed citations
11.
Savithri, S., et al.. (2018). Similitude analysis on flow characteristics of water, A356 and AM50 alloys during LPC process. Journal of Materials Processing Technology. 257. 270–277. 1 indexed citations
12.
Ranganathan, Panneerselvam, et al.. (2017). Experimental and modelling of Arthrospira platensis cultivation in open raceway ponds. Bioresource Technology. 242. 197–205. 19 indexed citations
13.
Krishnakumar, K, et al.. (2015). Computer Simulation of Centrifugal Casting Process Using FLOW-3D. Materials science forum. 830-831. 53–56. 2 indexed citations
14.
Ravi, B., et al.. (2015). Indigenous Development and Industrial Application of Metal Casting Simulation Software. Transactions of the Indian Institute of Metals. 68(6). 1227–1233. 2 indexed citations
15.
Divya, Kizhmuri P., S. Savithri, & Ayyappanpillai Ajayaghosh. (2014). A fluorescent molecular probe for the identification of zinc and cadmium salts by excited state charge transfer modulation. Chemical Communications. 50(45). 6020–6020. 32 indexed citations
16.
Ranganathan, Panneerselvam & S. Savithri. (2011). Investigations on hydrodynamics and mass transfer in gas–liquid stirred reactor using computational fluid dynamics. Chemical Engineering Science. 66(14). 3108–3124. 86 indexed citations
17.
Ranganathan, Panneerselvam, et al.. (2010). Computational fluid dynamics modeling of gas dispersion in multi impeller bioreactor. Journal of Bioscience and Bioengineering. 109(6). 588–597. 55 indexed citations
18.
Ranganathan, Panneerselvam, S. Savithri, & G. D. Surender. (2008). Computational Fluid Dynamics Simulation of Solid Suspension in a Gas−Liquid−Solid Mechanically Agitated Contactor. Industrial & Engineering Chemistry Research. 48(3). 1608–1620. 22 indexed citations
19.
Ranganathan, Panneerselvam, S. Savithri, & G. D. Surender. (2007). CFD based investigations on hydrodynamics and energy dissipation due to solid motion in liquid fluidised bed. Chemical Engineering Journal. 132(1-3). 159–171. 33 indexed citations
20.
Savithri, S., et al.. (1996). A new nonlinear integration formula for ODEs. Journal of Computational and Applied Mathematics. 67(2). 291–299. 3 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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