P. Pandiyan

785 total citations · 1 hit paper
34 papers, 456 citations indexed

About

P. Pandiyan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, P. Pandiyan has authored 34 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Artificial Intelligence. Recurrent topics in P. Pandiyan's work include Advanced MEMS and NEMS Technologies (6 papers), Mechanical and Optical Resonators (6 papers) and Video Surveillance and Tracking Methods (3 papers). P. Pandiyan is often cited by papers focused on Advanced MEMS and NEMS Technologies (6 papers), Mechanical and Optical Resonators (6 papers) and Video Surveillance and Tracking Methods (3 papers). P. Pandiyan collaborates with scholars based in India, South Korea and Malaysia. P. Pandiyan's co-authors include Rajasekaran Thangaraj, Raju Kannadasan, Mohammed H. Alsharif, Mun-Kyeom Kim, Vishnu Kumar Kaliappan, S. Anandamurugan, Ravishankar Sathyamurthy, Ramji Tiwari, Natarajan Prabaharan and S. Saravanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

P. Pandiyan

31 papers receiving 426 citations

Hit Papers

Technological advancements toward smart energy management... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Pandiyan India 9 131 76 61 49 41 34 456
Mohamed Zahran Egypt 11 184 1.4× 142 1.9× 21 0.3× 13 0.3× 18 0.4× 42 499
Radhika G. Deshmukh India 6 229 1.7× 11 0.1× 16 0.3× 56 1.1× 55 1.3× 13 425
Harishchander Anandaram India 11 57 0.4× 41 0.5× 56 0.9× 40 0.8× 4 0.1× 82 378
Yanuar Z. Arief Malaysia 15 501 3.8× 5 0.1× 156 2.6× 30 0.6× 70 1.7× 119 811
Abir Mouldi Saudi Arabia 15 89 0.7× 16 0.2× 235 3.9× 333 6.8× 72 1.8× 52 749
Hong Tang China 14 147 1.1× 5 0.1× 41 0.7× 98 2.0× 14 0.3× 73 652
Shubham Mishra India 7 226 1.7× 13 0.2× 38 0.6× 39 0.8× 35 0.9× 19 390
Trias Andromeda Indonesia 8 181 1.4× 13 0.2× 86 1.4× 165 3.4× 11 0.3× 80 557
Leijie Zhang China 12 107 0.8× 11 0.1× 62 1.0× 40 0.8× 7 0.2× 35 610
Djati Wibowo Djamari Indonesia 10 105 0.8× 4 0.1× 109 1.8× 113 2.3× 16 0.4× 38 432

Countries citing papers authored by P. Pandiyan

Since Specialization
Citations

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

Fields of papers citing papers by P. Pandiyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Pandiyan

This figure shows the co-authorship network connecting the top 25 collaborators of P. Pandiyan. A scholar is included among the top collaborators of P. Pandiyan 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 P. Pandiyan. P. Pandiyan 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
2.
Pandiyan, P., et al.. (2024). A new extended distribution and its application to using survival analysis of cancer patients. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(1). 1–12.
3.
Thangaraj, Rajasekaran, et al.. (2023). A deep convolution neural network for automated COVID-19 disease detection using chest X-ray images. SHILAP Revista de lepidopterología. 4. 100278–100278. 6 indexed citations
4.
Pandiyan, P., et al.. (2023). Technological Advancements Toward Smart Energy Management in Smart Cities. SSRN Electronic Journal. 8 indexed citations
5.
Pandiyan, P., et al.. (2023). Design and simulation of piezoelectric MEMS logic gates. Ferroelectrics. 602(1). 105–120. 1 indexed citations
6.
Thangaraj, Rajasekaran, et al.. (2022). Deep Learning Models for Potato Leaf Disease Identification: A Comparative Analysis. 58–62. 6 indexed citations
7.
Thangaraj, Rajasekaran, et al.. (2022). Real-Time Handgun Detection in Surveillance Videos based on Deep Learning Approach. 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). 2 indexed citations
8.
Pandiyan, P., et al.. (2021). A STOCHASTIC MODEL FOR CHRONIC KIDNEY DISEASE. Advances in Mathematics Scientific Journal. 10(10).
9.
Thangaraj, Rajasekaran, S. Anandamurugan, P. Pandiyan, & Vishnu Kumar Kaliappan. (2021). Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion. Journal of Plant Diseases and Protection. 129(3). 469–488. 71 indexed citations
10.
Prabaharan, Natarajan, et al.. (2021). Prediction of Process Parameters of Ultrasonically Welded PC/ABS Material Using Soft-Computing Techniques. IEEE Access. 9. 33849–33859. 4 indexed citations
11.
Pandiyan, P., S. Saravanan, Natarajan Prabaharan, et al.. (2021). Implementation of Different MPPT Techniques in Solar PV Tree under Partial Shading Conditions. Sustainability. 13(13). 7208–7208. 14 indexed citations
12.
Sumesh, K. R., et al.. (2021). The influence of different parameters in tribological characteristics of pineapple/sisal/TiO2 filler incorporation. Journal of Industrial Textiles. 51(5_suppl). 8626S–8644S. 40 indexed citations
13.
Bǎleanu, Dumitru, et al.. (2021). Existence results for coupled differential equations of non-integer order with Riemann-Liouville, Erdélyi-Kober integral conditions. AIMS Mathematics. 6(12). 13004–13023. 3 indexed citations
14.
Pandiyan, P., et al.. (2021). Analysis on performance and emission characteristics of corn oil methyl ester blended with diesel and cerium oxide nanoparticle. Case Studies in Thermal Engineering. 26. 101077–101077. 35 indexed citations
15.
Raju, S., et al.. (2021). A Review of an Early Detection and Quantification of Osteoarthritis Severity in Knee using Machine Learning Techniques. IOP Conference Series Materials Science and Engineering. 1057(1). 12095–12095. 3 indexed citations
16.
Pandiyan, P., et al.. (2020). Non-invasive method of diagnosing health parameters using urinalysis. 867–871. 3 indexed citations
17.
Pandiyan, P., et al.. (2019). Digitilized water consumption tracking cum awareness system. 805–807. 1 indexed citations
18.
Pandiyan, P., Uma Gandhi, & M. Umapathy. (2018). Design and simulation of electro-thermal compliant MEMS logic gates. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 37(2). 868–889. 3 indexed citations
19.
Pandiyan, P., G. Uma, & M. Umapathy. (2018). Design and Simulation of MEMS Electrothermal Compliant Actuator-Based Analog-to-Digital Converter. Arabian Journal for Science and Engineering. 44(3). 1823–1831. 2 indexed citations
20.
Pandiyan, P., G. Uma, M. Umapathy, & Suresh Kaluvan. (2014). Sensitivity improvement of resonant sensor with PID controller. 1. 170–175. 1 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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