Prashanth Baskaran

709 total citations
34 papers, 341 citations indexed

About

Prashanth Baskaran is a scholar working on Mechanical Engineering, Mechanics of Materials and Information Systems. According to data from OpenAlex, Prashanth Baskaran has authored 34 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 12 papers in Mechanics of Materials and 7 papers in Information Systems. Recurrent topics in Prashanth Baskaran's work include Non-Destructive Testing Techniques (14 papers), Ultrasonics and Acoustic Wave Propagation (11 papers) and Welding Techniques and Residual Stresses (10 papers). Prashanth Baskaran is often cited by papers focused on Non-Destructive Testing Techniques (14 papers), Ultrasonics and Acoustic Wave Propagation (11 papers) and Welding Techniques and Residual Stresses (10 papers). Prashanth Baskaran collaborates with scholars based in Portugal, India and China. Prashanth Baskaran's co-authors include A. Lopes Ribeiro, Helena G. Ramos, Dário J. Pasadas, Mohammed Ali Shaik, Geetha Manoharan, Kommabatla Mahender, Sheshikala Martha, Chandra Sekhar Angani, T. Rocha and Bo Feng and has published in prestigious journals such as Sensors, IEEE Transactions on Magnetics and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Prashanth Baskaran

24 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Baskaran Portugal 11 127 114 82 79 41 34 341
Tayab Din Memon Pakistan 12 87 0.7× 75 0.7× 25 0.3× 164 2.1× 33 0.8× 65 421
Alireza Ahrary Japan 11 84 0.7× 117 1.0× 9 0.1× 62 0.8× 125 3.0× 37 359
Jianfeng Ma China 10 271 2.1× 59 0.5× 85 1.0× 48 0.6× 6 0.1× 23 457
Tatiana Kelemenová Slovakia 10 123 1.0× 82 0.7× 31 0.4× 60 0.8× 24 0.6× 55 274
Yulin Ma China 12 136 1.1× 85 0.7× 17 0.2× 74 0.9× 46 1.1× 48 401
Zhicheng Zhang China 12 74 0.6× 55 0.5× 21 0.3× 62 0.8× 20 0.5× 54 462
Marcus Antônio Viana Duarte Brazil 10 300 2.4× 60 0.5× 91 1.1× 146 1.8× 8 0.2× 21 553
Hongquan Gui China 15 387 3.0× 60 0.5× 36 0.4× 51 0.6× 37 0.9× 23 592
Adam Piłat Poland 10 137 1.1× 39 0.3× 11 0.1× 75 0.9× 15 0.4× 65 309

Countries citing papers authored by Prashanth Baskaran

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Baskaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Baskaran

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Baskaran. A scholar is included among the top collaborators of Prashanth Baskaran 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 Prashanth Baskaran. Prashanth Baskaran 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.
Baskaran, Prashanth, et al.. (2025). An Eddy Current Probe With Minimum Background Magnetic Field for the Detection of Deeply Buried Defects. IEEE Sensors Journal. 25(12). 21716–21724.
2.
Sivakumar, Arun N., et al.. (2025). Real-Time Threat Management Using Deep Q-Learning and Mininet. 1765–1771.
3.
Baskaran, Prashanth, et al.. (2024). Constraints faced and suggestions provided by fish farmers regarding community based fish farming practices in Kalyana Karnataka. International Journal of Agriculture Extension and Social Development. 7(9). 88–92.
4.
Baskaran, Prashanth, et al.. (2024). Distressful movement recognition from surveillance video by deep learning method. AIP conference proceedings. 3170. 20044–20044.
5.
Baskaran, Prashanth, et al.. (2024). Classification of Corrosion Severity in SPCC Steels Using Eddy Current Testing and Supervised Machine Learning Models. Sensors. 24(7). 2259–2259. 3 indexed citations
6.
Baskaran, Prashanth, et al.. (2024). A Study on the Psychological Impact of Covid-19 on Farmers. Journal of Scientific Research and Reports. 30(6). 87–94.
7.
Panda, Sanjaya Kumar, et al.. (2024). A Predictive Analysis-Based IoT-Enabled Smart Bins for Waste Management in Smart Cities. 1–7. 1 indexed citations
8.
Baskaran, Prashanth, A. Lopes Ribeiro, & Helena G. Ramos. (2023). Theoretical Predictions of Perturbed Magnetic Flux Density Components Due to Narrow Flaws in ECT. IEEE Transactions on Instrumentation and Measurement. 72. 1–7.
9.
10.
Baskaran, Prashanth, Helena G. Ramos, & A. Lopes Ribeiro. (2023). Evaluation of the detectability of flaws in a two layer structure: A simulation-based PoD study incorporating correlated variables. International Journal of Applied Electromagnetics and Mechanics. 74(4). 343–349.
11.
Baskaran, Prashanth, Dário J. Pasadas, A. Lopes Ribeiro, & Helena G. Ramos. (2022). Analytical Model of Perturbed EMF in a Transmit-Receive Coil System Due to Thin Flaws. IEEE Transactions on Magnetics. 58(5). 1–5. 1 indexed citations
12.
Shaik, Mohammed Ali, et al.. (2022). Prediction of crop yield using machine learning. AIP conference proceedings. 54 indexed citations
13.
Baskaran, Prashanth, et al.. (2022). Implementation patterns of high performance machine learning algorithms using Apache Mahout. AIP conference proceedings. 2418. 20044–20044. 18 indexed citations
14.
Baskaran, Prashanth, Dário J. Pasadas, Helena G. Ramos, & A. Lopes Ribeiro. (2021). Integration of multiple response signals into the probability of detection modelling in eddy current NDE of flaws. NDT & E International. 118. 102401–102401. 11 indexed citations
15.
Baskaran, Prashanth, et al.. (2020). Analyze The Legislative Frameworkrelating to Surveillance and Right to Privacy: Issues and Challenges. IOP Conference Series Materials Science and Engineering. 981(2). 22063–22063.
16.
Pasadas, Dário J., Helena G. Ramos, Prashanth Baskaran, & A. Lopes Ribeiro. (2020). ECT in composite materials using double excitation coils and resonant excitation/sensing circuits. Measurement. 161. 107859–107859. 23 indexed citations
17.
Pasadas, Dário J., Helena G. Ramos, Bo Feng, Prashanth Baskaran, & A. Lopes Ribeiro. (2019). Defect Classification With SVM and Wideband Excitation in Multilayer Aluminum Plates. IEEE Transactions on Instrumentation and Measurement. 69(1). 241–248. 29 indexed citations
18.
Pasadas, Dário J., Prashanth Baskaran, Helena G. Ramos, & A. Lopes Ribeiro. (2019). Detection and Classification of Defects Using ECT and Multi-Level SVM Model. IEEE Sensors Journal. 20(5). 2329–2338. 32 indexed citations
19.
Angani, Chandra Sekhar, Helena G. Ramos, A. Lopes Ribeiro, T. Rocha, & Prashanth Baskaran. (2016). Lift-Off Point of Intersection Feature in Transient Eddy-Current Oscillations Method to Detect Thickness Variation in Stainless Steel. IEEE Transactions on Magnetics. 52(6). 1–8. 32 indexed citations
20.
Rajan, E. G., et al.. (2002). The notion of geometric filters and their use in computer vision. 5. 4250–4255. 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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