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Impact Factor (JCR) 2023: 0.7 ℹImpact Factor (JCR):

The JCR provides quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.

5-Year Impact Factor: 0.8 ℹ5-Year Impact Factor:

A 5-Year Impact Factor shows the long-term citation trend for a journal. This is calculated differently from the Journal Impact Factor, so it is not simply an average of the Impact Factors in the time period. The Impact Factor itself is based only on Web of Science Core Collection citation data from the last three years and thus reflects only recent impact. The Journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the Journal Citation Reports year.

CiteScore 2023: 1.9 ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: 0.23 ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: 0.350 ℹSource Normalized Impact per Paper (SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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CURRENT ISSUE

Vol. 27, No. 3, September 2024

Study on Electrochemical Stability and Charge Transfer Efficiency for the Development of High-Performance Supercapacitors Using Iron Oxide (Fe₂O₃) Nanorods

Vijay Ramrao Khawale, Mayank, Ravi Kumar, P. Satishkumar, Barun Haldar, B. Deepa, Rajasekaran Saminathan, P. Veeramanikandan, Azhagu Saravana Babu Packirisamy, Mayakannan Selvaraju

https://doi.org/10.14447/jnmes.v27i3.a01

Page 163-171

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Monitoring Atomic Layer Deposition by Potentiodynamic Electrochemical Impedance Spectroscopy of Multielement Adlayers

Hemlata Vikrant Ganvir, Sandeep Kumar, Rahul Kumar, Barun Haldar, Satishkumar Palanisamy, Ravi Verma, Dhananjay R Dolas, Vijayakumar Arun, Varsha D. Jadhav, Mayakannan Selvaraju

https://doi.org/10.14447/jnmes.v27i3.a02

Page 172-181

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Development of Polypyrrole/Cellulose Composite Based Pseudocapacitive Bioelectrode for Enhanced Performance of Biofuel Cell

Aynul Rifaya M., Venkatesa Prabhu Sundramurthy, Shine Kadaikunnan, Jamal M. Khaled

https://doi.org/10.14447/jnmes.v27i3.a03

Page 182-189

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Investigation on Polypyrrole-Induced Modification of Aspergillus Flavus: Evaluation of Biocompatibility and Electrochemical Properties

R. Girimurugan, S. Mayakannan, Shine Kadaikunnan, Jamal M. Khaled

https://doi.org/10.14447/jnmes.v27i3.a04

Page 190-198

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Amelioration of Membraneless Microbial Fuel Cell Performance using Covalently Bonded Yeast with Multi Walled Carbon Nanotube Biocatalyst

Aynul Rifaya, M, Venkatesa Prabhu Sundramurthy, Shine Kadaikunnan, Jamal M. Khaled

https://doi.org/10.14447/jnmes.v27i3.a05

Page 199-207

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Development of MnO₂/rGO Composite Electrodes for Enhanced Electrochemical Supercapacitor Performance

A. Saravanan, P Arunachalam, Ganta Raghotham Reddy, V. Vijayan

https://doi.org/10.14447/jnmes.v27i3.a06

Page 208-214

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Optimizing Supercapacitor Performance with LSCF, ST, BST, and Coconut Shell Activated Carbon

J.Lurdhumary, P. Hosanna Princye, Arul Prakash M, L.Sangeetha, G.S.V. Seshu Kumar, S. Maheswari, Kirubakaran D, L. Umaralikhan, V. Vijayan

https://doi.org/10.14447/jnmes.v27i3.a07

Page 215- 226

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Optimizing Warm Hydroforming of AA7075 for Enhanced Bipolar Plate Design in Proton Exchange Membrane Fuel Cells

K.T. Anand, Dhivakar Poosapadi, B.V. Sai Thrinath, V. Vijayan

https://doi.org/10.14447/jnmes.v27i3.a08

Page 227-235

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Assessing the Toxicological Impact of Exhaust Gas Particulate Matter Across Various Fuels During Cold Temperature Operation

M. Thirunavukkarasu, Yagya Dutta Dwivedi, Deepak GB, D. Chithra, S. Arun Prasad, Sunil Kumar Kothapalli, Shailendra Kumar Bohidar, N. Siva Kumar, V. Vijayan

https://doi.org/10.14447/jnmes.v27i3.a09

Page 236-247

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Investigating the Role of TiO₂ and MgTiO₃ Supports in ZnO-Catalyzed Photocatalytic CO₂ Reduction

G. Ramya, M. Aniskumar, V Saravanan, R. Sathya

https://doi.org/10.14447/jnmes.v27i3.a10

Page 248-257

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Microstructural Analysis of Optimized Carbon Steel Cladding Using Response Surface Methodology and Genetic Algorithms

R. Yokeswaran, V. Vijayan, M. Loganathan, T.S. Senthilkumar

https://doi.org/10.14447/jnmes.v27i3.a11

Page 258-269

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Analyzing Metal Material Cooling Intensity: A Method for Obtaining Heat Transfer Coefficients

Deepa Melur Sonnegowda, Lalitha Ponsankarar, Vinay Kumar Domakonda, Kamesh Minnal Ranjan Babu, Vinayak Barewar, Vijay Muni Tadanki, E. Hemalatha, Anusuya Manickam, Aravind Prasad Baskaran, Selvarajan Lakshmanan

https://doi.org/10.14447/jnmes.v27i3.a12

Page 270-275

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Optimization and Characterization of Borassus Fiber-Reinforced Epoxy Composites with Caesalpinia Bonducella Seed Shell Powder Using Response Surface Methodology

R. Malairaja, V. Vijayan

https://doi.org/10.14447/jnmes.v27i3.a13

Page 276-289

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