Senthan Mathavan

1.5k total citations
46 papers, 1.1k citations indexed

About

Senthan Mathavan is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Senthan Mathavan has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Civil and Structural Engineering, 12 papers in Mechanical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Senthan Mathavan's work include Infrastructure Maintenance and Monitoring (22 papers), Asphalt Pavement Performance Evaluation (13 papers) and Image and Object Detection Techniques (7 papers). Senthan Mathavan is often cited by papers focused on Infrastructure Maintenance and Monitoring (22 papers), Asphalt Pavement Performance Evaluation (13 papers) and Image and Object Detection Techniques (7 papers). Senthan Mathavan collaborates with scholars based in United Kingdom, Pakistan and Saudi Arabia. Senthan Mathavan's co-authors include Mujib Rahman, K. Kamal, Khurram Kamal, Tayyab Zafar, Sahnius Usman, Michael R. Jackson, R.M. Parkin, Asela K. Kulatunga, Mohammed Alkahtani and Ghulam Hussain and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Senthan Mathavan

45 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthan Mathavan United Kingdom 18 673 176 153 141 113 46 1.1k
Hamzeh Zakeri Iran 16 710 1.1× 200 1.1× 67 0.4× 90 0.6× 53 0.5× 33 964
Wenjie Liao China 20 710 1.1× 100 0.6× 99 0.6× 112 0.8× 90 0.8× 51 1.2k
Seongdeok Bang South Korea 12 630 0.9× 146 0.8× 69 0.5× 128 0.9× 39 0.3× 18 918
Vedat Toğan Türkiye 19 591 0.9× 88 0.5× 126 0.8× 43 0.3× 56 0.5× 80 1.4k
Changmin Kim South Korea 16 482 0.7× 80 0.5× 98 0.6× 133 0.9× 356 3.2× 35 1.2k
Gholamreza Ghodrati Amiri Iran 30 2.4k 3.6× 248 1.4× 52 0.3× 171 1.2× 57 0.5× 217 2.8k
Tayfun Dede Türkiye 21 503 0.7× 82 0.5× 75 0.5× 23 0.2× 62 0.5× 56 1.0k
A. Emin Aktan United States 25 2.8k 4.2× 369 2.1× 27 0.2× 117 0.8× 81 0.7× 133 3.0k
Jianping Hu China 16 301 0.4× 230 1.3× 167 1.1× 54 0.4× 52 0.5× 36 699
Kyu-Yeul Lee South Korea 18 98 0.1× 387 2.2× 470 3.1× 98 0.7× 54 0.5× 109 1.4k

Countries citing papers authored by Senthan Mathavan

Since Specialization
Citations

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

Fields of papers citing papers by Senthan Mathavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthan Mathavan

This figure shows the co-authorship network connecting the top 25 collaborators of Senthan Mathavan. A scholar is included among the top collaborators of Senthan Mathavan 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 Senthan Mathavan. Senthan Mathavan 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.
Ratlamwala, Tahir Abdul Hussain, et al.. (2023). Sustainable operations of a combined cycle power plant using artificial intelligence based power prediction. Heliyon. 9(9). e19562–e19562. 6 indexed citations
2.
Khan, Haseeb Ahmed, Uzair Aslam Bhatti, Khurram Kamal, et al.. (2023). Fault Classification for Cooling System of Hydraulic Machinery Using AI. Sensors. 23(16). 7152–7152. 5 indexed citations
3.
4.
Ahmed, Shakeel, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, et al.. (2022). Aerodynamic Analyses of Airfoils Using Machine Learning as an Alternative to RANS Simulation. Applied Sciences. 12(10). 5194–5194. 20 indexed citations
5.
Rahman, Mujib, et al.. (2022). Comparing Different Deep Learning Architectures as Vision-Based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement. Transportation Research Record Journal of the Transportation Research Board. 2677(5). 24–39. 7 indexed citations
6.
Mathavan, Senthan, et al.. (2019). Stereo-Based 3D Reconstruction of Potholes by a Hybrid, Dense Matching Scheme. IEEE Sensors Journal. 19(10). 3807–3817. 26 indexed citations
7.
Zafar, Tayyab, et al.. (2017). A neural network based approach for background noise reduction in airborne acoustic emission of a machining process. Journal of Mechanical Science and Technology. 31(7). 3171–3182. 17 indexed citations
8.
Mathavan, Senthan, et al.. (2017). Detection of pavement cracks using tiled fuzzy Hough transform. Journal of Electronic Imaging. 26(5). 1–1. 18 indexed citations
9.
Mathavan, Senthan, et al.. (2016). Pavement Maintenance Decision Optimization Using a Novel Discrete Bare-Bones Particle Swarm Algorithm. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 3 indexed citations
10.
Kamal, Khurram, et al.. (2016). Performance assessment of Kinect as a sensor for pothole imaging and metrology. International Journal of Pavement Engineering. 19(7). 565–576. 32 indexed citations
11.
Kamal, K., et al.. (2016). Wood defects classification using GLCM based features and PSO trained neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 273–277. 26 indexed citations
12.
Rashid, Mohammad A., et al.. (2015). Energy prediction of a combined cycle power plant using a particle swarm optimization trained feedforward neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–5. 18 indexed citations
13.
Chandrakumar, Chanjief, et al.. (2015). Tiled fuzzy Hough transform for crack detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9534. 953411–953411. 5 indexed citations
14.
Zafar, Tayyab, et al.. (2015). Tool health monitoring using airborne acoustic emission and a PSO-optimized neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 271–276. 5 indexed citations
15.
Zafar, Tayyab, et al.. (2015). Tool health monitoring for wood milling process using airborne acoustic emission. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1521–1526. 16 indexed citations
16.
Mathavan, Senthan, et al.. (2014). Smart irrigation using low-cost moisture sensors and XBee-based communication. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 333–337. 58 indexed citations
17.
Mathavan, Senthan, Michael R. Jackson, & R.M. Parkin. (2014). Numerical simulations of the frictional collisions of solid balls on a rough surface. Sports Engineering. 17(4). 227–237. 2 indexed citations
18.
Mathavan, Senthan, et al.. (2014). Pavement Raveling Detection and Measurement from Synchronized Intensity and Range Images. Transportation Research Record Journal of the Transportation Research Board. 2457(1). 3–11. 37 indexed citations
19.
Rahman, Mujib, et al.. (2013). A Fuzzy Logic Approach for Pavement Section Classification. 6(5). 620–626. 14 indexed citations
20.
Kamal, K., et al.. (2013). Metrology and visualization of potholes using the microsoft kinect sensor. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1284–1291. 85 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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