Pranesh Krishnan

477 total citations
31 papers, 343 citations indexed

About

Pranesh Krishnan is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Pranesh Krishnan has authored 31 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 10 papers in Mechanical Engineering and 9 papers in Civil and Structural Engineering. Recurrent topics in Pranesh Krishnan's work include Mechanical Behavior of Composites (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers) and Structural Health Monitoring Techniques (5 papers). Pranesh Krishnan is often cited by papers focused on Mechanical Behavior of Composites (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers) and Structural Health Monitoring Techniques (5 papers). Pranesh Krishnan collaborates with scholars based in Malaysia, United Kingdom and United States. Pranesh Krishnan's co-authors include M.S. Abdul Majid, M. Afendi, A.G. Gibson, Haslan Fadli Ahmad Marzuki, K. P. Sinha, M.P. Paulraj, Sazali Yaacob, R. Rajeswari, Seeram Ramakrishna and Subramanian Sundarrajan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Medicine and Composite Structures.

In The Last Decade

Pranesh Krishnan

28 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranesh Krishnan Malaysia 10 99 79 68 66 66 31 343
Jac Fredo Agastinose Ronickom India 11 178 1.8× 57 0.7× 25 0.4× 50 0.8× 42 0.6× 64 399
Yiming Fan China 10 132 1.3× 63 0.8× 18 0.3× 34 0.5× 41 0.6× 19 315
Trung-Hau Nguyen South Korea 11 168 1.7× 30 0.4× 39 0.6× 22 0.3× 32 0.5× 18 305
Jitao Zhong China 10 40 0.4× 59 0.7× 208 3.1× 30 0.5× 44 0.7× 35 318
Nak-Kyu Lee South Korea 9 36 0.4× 25 0.3× 7 0.1× 38 0.6× 122 1.8× 18 366
Cancheng Li China 10 100 1.0× 14 0.2× 5 0.1× 50 0.8× 23 0.3× 26 325
Zhinan Li China 10 49 0.5× 27 0.3× 12 0.2× 12 0.2× 42 0.6× 36 325
I Zunaidi Malaysia 10 51 0.5× 7 0.1× 14 0.2× 31 0.5× 29 0.4× 77 316
Syed Zohaib Hassan Naqvi Pakistan 12 58 0.6× 14 0.2× 11 0.2× 14 0.2× 44 0.7× 43 355
Sheng‐Fu Chen Taiwan 11 231 2.3× 15 0.2× 15 0.2× 19 0.3× 19 0.3× 20 485

Countries citing papers authored by Pranesh Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Pranesh Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranesh Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Pranesh Krishnan. A scholar is included among the top collaborators of Pranesh Krishnan 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 Pranesh Krishnan. Pranesh Krishnan 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.
Krishnan, Pranesh, et al.. (2020). Development of Anti-theft Steering Wheel lock Embedded with Fingerprint System. International Journal of Engineering and Advanced Technology. 9(5). 714–717.
2.
Krishnan, Pranesh, et al.. (2020). EEG based drowsiness detection using relative band power and short time fourier transform. Proceedings of International Conference on Artificial Life and Robotics. 25. 323–327.
3.
Yaacob, Sazali, et al.. (2020). Early driver drowsiness detection using electroencephalography signals. 1–4. 3 indexed citations
4.
Krishnan, Pranesh, et al.. (2019). Design and Analysis of Punch and Die of a Micro Blanking Tool. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 827–833. 2 indexed citations
5.
Krishnan, Pranesh & Sazali Yaacob. (2019). Drowsiness Detection using Band Power and log Energy Entropy Features Based on EEG Signals. International Journal of Innovative Technology and Exploring Engineering. 8(10). 830–836. 5 indexed citations
6.
Krishnan, Pranesh, et al.. (2019). Design and Analysis of Progressive Die for Chain Link Plate. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 820–826. 4 indexed citations
7.
Krishnan, Pranesh, et al.. (2019). Design and Analysis of Stage Progressive Die for a Sheet Metal Component. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 834–841. 1 indexed citations
8.
Krishnan, Pranesh, et al.. (2016). An automated portable multiaxial pressure test rig for qualifications of glass/epoxy composite pipes. Science and Engineering of Composite Materials. 25(2). 243–252. 8 indexed citations
9.
Krishnan, Pranesh, et al.. (2016). Real time stress detection system based on EEG signals. Biomedical Research-tokyo. 271–275. 55 indexed citations
10.
Wang, Chuanyue, Fang Ji, Joann S. Poh, et al.. (2016). Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study. Psychological Medicine. 46(13). 2771–2783. 59 indexed citations
11.
Krishnan, Pranesh, M.S. Abdul Majid, M. Afendi, A.G. Gibson, & Haslan Fadli Ahmad Marzuki. (2015). Effects of winding angle on the behaviour of glass/epoxy pipes under multiaxial cyclic loading. Materials & Design. 88. 196–206. 42 indexed citations
12.
Majid, M.S. Abdul, et al.. (2014). Ageing Effects on Burst Pressure Test of Impacted Glass Fibre Reinforcement Epoxy (GRE) Pipes. Applied Mechanics and Materials. 695. 717–720. 7 indexed citations
13.
Krishnan, Pranesh, et al.. (2014). Flanking stencil method for the detection of impact craters. 6. 1–6.
14.
15.
Krishnan, Pranesh, R. Rajeswari, Jayarama Reddy Venugopal, et al.. (2012). Polysaccharide nanofibrous scaffolds as a model for in vitro skin tissue regeneration. Journal of Materials Science Materials in Medicine. 23(6). 1511–1519. 42 indexed citations
16.
Paulraj, M.P., M.S. Abdul Majid, Sazali Yaacob, Abdul Hamid Adom, & Pranesh Krishnan. (2010). Structural steel plate damage detection using DFT spectral energy and artificial neural network. 11 indexed citations
17.
Paulraj, M.P., M.S. Abdul Majid, Sazali Yaacob, Mohd Hafiz Fazalul Rahiman, & Pranesh Krishnan. (2009). Damage detection in steel plates using Artificial Neural Networks. 1–4. 2 indexed citations
18.
Paulraj, M.P., M.S. Abdul Majid, Sazali Yaacob, Mohd Hafiz Fazalul Rahiman, & Pranesh Krishnan. (2009). Statistical time energy based damage detection in steel plates using artificial neural networks. 33–36. 3 indexed citations
19.
Sinha, K. P., et al.. (2007). Multi-objective robust optimisation for crashworthiness during side impact. International Journal of Vehicle Design. 43(1/2/3/4). 116–116. 21 indexed citations
20.
Montgomery, Stuart, Gustavo Kinrys, Andrew D. Krystal, et al.. (2007). Evaluation of eszopiclone and escitalopram oxalate co-therapy in patients with generalized anxiety disorder and insomnia. European Psychiatry. 22. S238–S239. 2 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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