S. Jayaraj

8.8k total citations · 4 hit papers
136 papers, 7.2k citations indexed

About

S. Jayaraj is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, S. Jayaraj has authored 136 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Mechanical Engineering, 46 papers in Renewable Energy, Sustainability and the Environment and 40 papers in Biomedical Engineering. Recurrent topics in S. Jayaraj's work include Solar Thermal and Photovoltaic Systems (32 papers), Biodiesel Production and Applications (23 papers) and Advanced Combustion Engine Technologies (19 papers). S. Jayaraj is often cited by papers focused on Solar Thermal and Photovoltaic Systems (32 papers), Biodiesel Production and Applications (23 papers) and Advanced Combustion Engine Technologies (19 papers). S. Jayaraj collaborates with scholars based in India, Kazakhstan and Saudi Arabia. S. Jayaraj's co-authors include C. Muraleedharan, Arumugam Sakunthalai Ramadhas, M. Mohanraj, M. Srinivas, B. Deepanraj, V. Sivasubramanian, Arun K. Raj, M.S. Gad, А. Kаltayev and Yerzhan Belyayev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Chemosphere.

In The Last Decade

S. Jayaraj

136 papers receiving 6.6k citations

Hit Papers

Biodiesel production from high FFA rubber seed oil 2003 2026 2010 2018 2004 2003 2005 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Jayaraj India 37 3.8k 3.4k 1.9k 1.5k 986 136 7.2k
C. Muraleedharan India 29 3.2k 0.8× 2.5k 0.7× 1.3k 0.7× 526 0.4× 621 0.6× 79 4.8k
K.J. Chua Singapore 58 2.5k 0.6× 5.3k 1.6× 2.0k 1.1× 2.3k 1.6× 1.5k 1.6× 253 11.3k
M.M.K. Khan Australia 38 2.0k 0.5× 1.5k 0.4× 819 0.4× 732 0.5× 375 0.4× 183 4.7k
Barat Ghobadian Iran 63 6.5k 1.7× 3.8k 1.1× 3.5k 1.9× 2.4k 1.7× 911 0.9× 306 12.8k
Manzoore Elahi M. Soudagar India 49 5.4k 1.4× 3.4k 1.0× 2.7k 1.4× 1.3k 0.9× 760 0.8× 424 9.3k
Tikendra Nath Verma India 43 3.6k 0.9× 1.3k 0.4× 2.3k 1.2× 820 0.6× 529 0.5× 168 5.2k
Anthony Paul Roskilly United Kingdom 57 2.3k 0.6× 7.1k 2.1× 1.9k 1.0× 1.7k 1.2× 875 0.9× 350 12.1k
Yaodong Wang United Kingdom 40 1.6k 0.4× 2.2k 0.6× 1.2k 0.6× 688 0.5× 488 0.5× 242 5.6k
A.S. Silitonga Indonesia 44 7.4k 1.9× 3.7k 1.1× 2.5k 1.3× 1.2k 0.8× 545 0.6× 121 9.2k
S.K. Chou Singapore 63 3.0k 0.8× 3.6k 1.1× 3.5k 1.9× 1.4k 1.0× 3.0k 3.1× 208 12.1k

Countries citing papers authored by S. Jayaraj

Since Specialization
Citations

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

Fields of papers citing papers by S. Jayaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Jayaraj. A scholar is included among the top collaborators of S. Jayaraj 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. Jayaraj. S. Jayaraj 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.
Kumar, C.S. Sujith, et al.. (2023). Enhanced electrolytic immersion cooling for thermal crisis mitigation in high-energy–density systems. Energy Conversion and Management. 300. 117980–117980. 5 indexed citations
2.
Gad, M.S., Ümit Ağbulut, Asif Afzal, et al.. (2023). A comprehensive review on the usage of the nano-sized particles along with diesel/biofuel blends and their impacts on engine behaviors. Fuel. 339. 127364–127364. 85 indexed citations
3.
Raj, Arun K., et al.. (2023). Experimental investigations on a solar heat pump system having hybrid collector with dual cooling arrangements for delaying frost generation. Thermal Science and Engineering Progress. 39. 101720–101720. 2 indexed citations
4.
Arun, P., et al.. (2023). Artificial Neural Networks Based Parametric Curve Generation for Health Assessment of Industrial Gas Turbine Systems. Process Integration and Optimization for Sustainability. 8(2). 577–590. 3 indexed citations
6.
Mohanraj, M., et al.. (2019). Numerical simulation of a heat pump assisted solar dryer for continental climates. Renewable Energy. 143. 214–225. 62 indexed citations
7.
Arun, P., et al.. (2019). Artificial Neural Network based Process History Data Model for Gas Turbine Compressor Systems. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 5069–5077. 1 indexed citations
8.
Deepanraj, B., V. Sivasubramanian, & S. Jayaraj. (2016). Multi-response optimization of process parameters in biogas production from food waste using Taguchi – Grey relational analysis. Energy Conversion and Management. 141. 429–438. 97 indexed citations
9.
Shaija, A., et al.. (2014). Optimization of operating parameters to maximize the current density without flooding at the cathode membrane interface of a PEM fuel cell using Taguchi method and genetic algorithm. 5(3). 335–352. 5 indexed citations
10.
Shaija, A., et al.. (2014). Optimization of operating parameters to maximize the current density without dehydration at the anode membrane interface of a PEM fuel cell using Taguchi method. 1–6. 1 indexed citations
11.
Deepanraj, B., V. Sivasubramanian, & S. Jayaraj. (2014). Solid concentration influence on biogas yield from food waste in an anaerobic batch digester. 1–4. 10 indexed citations
12.
Jayaraj, S., C. Ahamed Saleel, & A. Shaija. (2013). On Simulation of Backward Facing Step Flow Using Immersed Boundary Method. 3(4). 4 indexed citations
13.
Saleel, C. Ahamed, A. Shaija, & S. Jayaraj. (2013). On Simulation of Backward Facing Step Flow Using Immersed Boundary Method. 3(2). 9–19. 2 indexed citations
14.
Srinivas, M. & S. Jayaraj. (2013). Energy and exergy analysis of a two pass photovoltaic – thermal (PV/T) air heater. 4(3). 467–480. 7 indexed citations
15.
Srinivas, M. & S. Jayaraj. (2013). Investigations on the performance of a double pass, hybrid - type (PV/T) solar air heater. 4(4). 687–698. 5 indexed citations
16.
Jayaraj, S., et al.. (2012). Achieving Certified Emission Reduction in Rural Domestic Energy Sector Through Alternative Fuel Replacement. International Journal of Renewable Energy Research. 2(1). 38–43. 2 indexed citations
17.
Jayaraj, S., et al.. (2011). A Meta Model for Domestic Energy Consumption. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Ramadhas, Arumugam Sakunthalai, S. Jayaraj, & C. Muraleedharan. (2010). Performance and emission studies on biodiesel-liquefied petroleum gas dual fuel engine with exhaust gas recirculation. Journal of Renewable and Sustainable Energy. 2(1). 14 indexed citations
19.
Jayaraj, S., et al.. (2006). Numerical Simulation of Supersonic Combustion Using Unstructured Point Implicit Finite Volume Method. 48(144). 187–197. 7 indexed citations
20.
Ramadhas, Arumugam Sakunthalai, S. Jayaraj, & C. Muraleedharan. (2004). Biodiesel production from high FFA rubber seed oil. Fuel. 84(4). 335–340. 1027 indexed citations breakdown →

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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