Jino Mathew

453 total citations
23 papers, 335 citations indexed

About

Jino Mathew is a scholar working on Mechanical Engineering, Mechanics of Materials and Metals and Alloys. According to data from OpenAlex, Jino Mathew has authored 23 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 10 papers in Mechanics of Materials and 4 papers in Metals and Alloys. Recurrent topics in Jino Mathew's work include Welding Techniques and Residual Stresses (10 papers), Non-Destructive Testing Techniques (9 papers) and Fatigue and fracture mechanics (8 papers). Jino Mathew is often cited by papers focused on Welding Techniques and Residual Stresses (10 papers), Non-Destructive Testing Techniques (9 papers) and Fatigue and fracture mechanics (8 papers). Jino Mathew collaborates with scholars based in United Kingdom, United States and India. Jino Mathew's co-authors include Michael E. Fitzpatrick, Stratis Kanarachos, Miltiadis Alamaniotis, James Griffin, P. J. Bouchard, Richard Moat, Sanjooram Paddea, A. Chroneos, David Parfitt and Qingrong Xiong and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Jino Mathew

21 papers receiving 327 citations

Peers

Jino Mathew
Yipeng Wang China
I.S. Kim South Korea
Zhenzhou Wang China
Yujun Liu China
Grzegorz Nowak Poland
Saleem Akhtar Pakistan
Yanmin Xie China
Cem C. Tutum Denmark
David Thornhill United Kingdom
Lijie Zhang China
Yipeng Wang China
Jino Mathew
Citations per year, relative to Jino Mathew Jino Mathew (= 1×) peers Yipeng Wang

Countries citing papers authored by Jino Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Jino Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jino Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Jino Mathew. A scholar is included among the top collaborators of Jino Mathew 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 Jino Mathew. Jino Mathew 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.
Mathew, Jino, et al.. (2025). Academic Stress and Life Satisfaction among College Students. International Journal For Multidisciplinary Research. 7(2).
2.
Mathew, Jino & K.K. Cheralathan. (2024). Two-Dimensional Zeolites–Potential Catalysts for Biomass Valorization. ACS Omega. 9(2). 2048–2059. 3 indexed citations
3.
Mathew, Jino, et al.. (2023). A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data. Scientific Reports. 13(1). 9948–9948. 13 indexed citations
4.
Sakthivel, Ayyamperumal, et al.. (2022). Ruthenium-containing MCM-22 and ITQ-2 as potential redox catalysts for benzhydrol oxidation. Journal of Porous Materials. 29(2). 591–599. 5 indexed citations
5.
Griffin, James, Jino Mathew, G. Vértesy, et al.. (2022). Machine-Learning Approach to Determine Surface Quality on a Reactor Pressure Vessel (RPV) Steel. Applied Sciences. 12(8). 3721–3721. 4 indexed citations
6.
Vértesy, G., et al.. (2020). Analysis of Surface Roughness Influence in Non-Destructive Magnetic Measurements Applied to Reactor Pressure Vessel Steels. Applied Sciences. 10(24). 8938–8938. 12 indexed citations
7.
Mathew, Jino, et al.. (2019). Magnetic Barkhausen Noise Method for Characterisation of Low Alloy Steel. 5 indexed citations
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Xiong, Qingrong, Michael Christopher Smith, Ondrej Muránsky, & Jino Mathew. (2019). Validated prediction of weld residual stresses in austenitic steel pipe girth welds before and after thermal ageing, part 2: Modelling and validation. International Journal of Pressure Vessels and Piping. 172. 430–448. 8 indexed citations
10.
Kanarachos, Stratis, Jino Mathew, & Michael E. Fitzpatrick. (2018). Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks. Expert Systems with Applications. 120. 436–447. 51 indexed citations
11.
Mathew, Jino, David Parfitt, K. Wilford, et al.. (2018). Reactor pressure vessel embrittlement: Insights from neural network modelling. Journal of Nuclear Materials. 502. 311–322. 30 indexed citations
12.
Alamaniotis, Miltiadis, Jino Mathew, A. Chroneos, Michael E. Fitzpatrick, & Lefteri H. Tsoukalas. (2018). Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems. Engineering Applications of Artificial Intelligence. 71. 138–154. 9 indexed citations
13.
Mathew, Jino, Richard Moat, Sanjooram Paddea, Michael E. Fitzpatrick, & P. J. Bouchard. (2017). Prediction of residual stresses in girth welded pipes using an artificial neural network approach. International Journal of Pressure Vessels and Piping. 150. 89–95. 28 indexed citations
14.
Mathew, Jino, Richard Moat, Sanjooram Paddea, et al.. (2017). Through-Thickness Residual Stress Profiles in Austenitic Stainless Steel Welds: A Combined Experimental and Prediction Study. Metallurgical and Materials Transactions A. 48(12). 6178–6191. 22 indexed citations
15.
Mathew, Jino. (2016). Prediction of welding-induced residual stresses using a neural network approach. Coventry University Open Collections (Coventry university). 15(4). 232–233. 2 indexed citations
16.
Mathew, Jino, et al.. (2015). Analysis of Failure Modes and Selection of Maintenance Strategy for Vital Machines in a Tea Industry. International Journal For Science Technology And Engineering. 2(5). 121–125. 1 indexed citations
17.
Kanarachos, Stratis, Jino Mathew, A. Chroneos, & Michael E. Fitzpatrick. (2015). Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform. Pure (Coventry University). 1–6. 12 indexed citations
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Mathew, Jino, Richard Moat, & P. J. Bouchard. (2013). Prediction of Pipe Girth Weld Residual Stress Profiles Using Artificial Neural Networks. 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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