J. Prasanna

622 total citations
44 papers, 435 citations indexed

About

J. Prasanna is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, J. Prasanna has authored 44 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 12 papers in Mechanical Engineering. Recurrent topics in J. Prasanna's work include Perovskite Materials and Applications (10 papers), Advanced Machining and Optimization Techniques (9 papers) and Advanced machining processes and optimization (9 papers). J. Prasanna is often cited by papers focused on Perovskite Materials and Applications (10 papers), Advanced Machining and Optimization Techniques (9 papers) and Advanced machining processes and optimization (9 papers). J. Prasanna collaborates with scholars based in India, Iraq and Sri Lanka. J. Prasanna's co-authors include L. Karunamoorthy, M. S. P. Subathra, S. Thomas George, N. J. Sairamya, Mazin Abed Mohammed, Amarjit Kumar, Ekta Goel, Robertas Damaševičius, Atul Kumar and C. Chandrasekhara Sastry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neural Computing and Applications.

In The Last Decade

J. Prasanna

36 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Prasanna India 10 253 172 122 99 58 44 435
Mohammad Alhawari United Arab Emirates 14 477 1.9× 268 1.6× 244 2.0× 65 0.7× 107 1.8× 53 658
Xiaobo Wu China 13 519 2.1× 76 0.4× 226 1.9× 51 0.5× 15 0.3× 139 656
Jin-Su Kim South Korea 12 149 0.6× 54 0.3× 148 1.2× 80 0.8× 123 2.1× 89 536
Sayanjit Singha Roy India 11 93 0.4× 80 0.5× 45 0.4× 48 0.5× 69 1.2× 29 334
Nebras Sobahi Saudi Arabia 15 168 0.7× 15 0.1× 180 1.5× 128 1.3× 47 0.8× 40 568
Stephen A. Mascaro United States 15 40 0.2× 73 0.4× 429 3.5× 294 3.0× 105 1.8× 70 778
Ahnsei Shon United States 6 141 0.6× 71 0.4× 241 2.0× 66 0.7× 33 0.6× 9 478
Mingxin Yu China 14 124 0.5× 34 0.2× 47 0.4× 88 0.9× 60 1.0× 56 518
H. Qin China 13 407 1.6× 180 1.0× 334 2.7× 48 0.5× 67 1.2× 55 725

Countries citing papers authored by J. Prasanna

Since Specialization
Citations

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

Fields of papers citing papers by J. Prasanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Prasanna

This figure shows the co-authorship network connecting the top 25 collaborators of J. Prasanna. A scholar is included among the top collaborators of J. Prasanna 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 J. Prasanna. J. Prasanna 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.
George, S. Thomas, Geno Peter, Albert Alexander Stonier, et al.. (2025). Automatic Epilepsy Seizure Classification Using EEG Signals Based on the CNN‐LSTM Model. IET Signal Processing. 2025(1).
2.
Prasanna, J., et al.. (2024). Detection of neurodegenerative diseases using hybrid MODWT and adaptive local binary pattern. Neural Computing and Applications. 36(31). 19417–19433.
3.
Kansal, Lavish, et al.. (2024). Sustainable Synthesis of Perovskite Solar Cells Using Green Materials. SHILAP Revista de lepidopterología. 537. 7016–7016.
4.
Prasanna, J., et al.. (2024). Enhanced Efficiency of Tandem Perovskite Solar Cells Utilizing Cs2BiAgI6 and La2NiMnO6 Double Perovskite Absorbers with Optimized Charge Transport Layers. International Journal of Energy Research. 2024(1). 4 indexed citations
5.
Prasanna, J., Ekta Goel, & Amarjit Kumar. (2024). Defect Density-Dependent Dynamics of Double Absorber Layered Perovskite Solar Cell. IEEE photonics journal. 16(6). 1–10. 2 indexed citations
6.
Prasanna, J., Chella Santhosh, Munish Kumar, & K. Gayathri. (2023). IoT based automatic fuel level montoring system for automobiles. IET conference proceedings.. 2023(5). 56–61. 1 indexed citations
7.
Prasanna, J., et al.. (2023). Energy Harvesting Using Piezoelectric Materials. Journal of Physics Conference Series. 2471(1). 12007–12007. 3 indexed citations
8.
Prasanna, J., Ekta Goel, Amarjit Kumar, & Atul Kumar. (2022). Reduced interfacial recombination in perovskite solar cells by structural engineering simulation. Journal of Optics. 24(11). 115901–115901. 14 indexed citations
9.
Prasanna, J., Ekta Goel, Amarjit Kumar, et al.. (2022). Bandgap graded perovskite solar cell for above 30% efficiency. Optik. 269. 169891–169891. 23 indexed citations
10.
Prasanna, J., et al.. (2022). IoT based Soldier Health and Position Tracking System. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 417–420. 3 indexed citations
11.
Prasanna, J., Ekta Goel, Amarjit Kumar, & Atul Kumar. (2022). Review of nanomaterials impact on improving the performance of dye-sensitized and perovskite solar cells. Optical and Quantum Electronics. 54(11). 7 indexed citations
12.
Prasanna, J., et al.. (2021). Evaluation of Device Fabrication from FET to CFET: A Review. Journal of Nano- and Electronic Physics. 13(6). 6030–1. 4 indexed citations
13.
Prasanna, J., et al.. (2021). Experimental investigation of the electrochemical micromachining process of Ti-6Al-4V titanium alloy under the influence of magnetic field. Materials Science-Poland. 39(1). 124–138. 8 indexed citations
14.
Prasanna, J., M. S. P. Subathra, Mazin Abed Mohammed, et al.. (2020). Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network. Sensors. 20(17). 4952–4952. 48 indexed citations
15.
Prasanna, J., et al.. (2020). Analysis of high aspect ratio small holes in rapid electrical discharge machining of superalloys using Taguchi and TOPSIS. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42(2). 17 indexed citations
16.
Prasanna, J., et al.. (2019). Classification of Non-focal and Focal EEG signals using Local Binary Pattern. 4320. 1–4. 1 indexed citations
17.
Prasanna, J., et al.. (2018). HyPro: A Multi-DoF Hybrid-Powered Transradial Robotic Prosthesis. Journal of Robotics. 2018. 1–15. 6 indexed citations
18.
19.
Prasanna, J., et al.. (2017). MRR and TWR evaluation on electrical discharge machining of Ti-6Al-4V using tungsten : copper composite electrode. IOP Conference Series Materials Science and Engineering. 197. 12087–12087. 11 indexed citations
20.
Prasanna, J., et al.. (2014). Effect of Process Parameters on Poly(butylene adipate co-terephthalate) Nanofibers Development by Electrospinning Technique. Advanced materials research. 894. 360–363. 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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