C. Chellaswamy

814 total citations
57 papers, 591 citations indexed

About

C. Chellaswamy is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, C. Chellaswamy has authored 57 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 17 papers in Mechanical Engineering and 10 papers in Automotive Engineering. Recurrent topics in C. Chellaswamy's work include Railway Engineering and Dynamics (9 papers), Electric Vehicles and Infrastructure (8 papers) and IoT and GPS-based Vehicle Safety Systems (8 papers). C. Chellaswamy is often cited by papers focused on Railway Engineering and Dynamics (9 papers), Electric Vehicles and Infrastructure (8 papers) and IoT and GPS-based Vehicle Safety Systems (8 papers). C. Chellaswamy collaborates with scholars based in India, United States and Mexico. C. Chellaswamy's co-authors include R. Ramesh, R. Ganesh Babu, Ganesh Babu R., K. Venkatachalam, M. Saravanan, K. Sivakumar, Gulshan Sharma, Mariam Al Mulla, K. Hariharan and Rohan Michael Ramesh and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Environmental Management and Renewable Energy.

In The Last Decade

C. Chellaswamy

54 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Chellaswamy India	13	224	128	115	113	110	57	591
Luttfi A. Al-Haddad Iraq	18	98 0.4×	90 0.7×	128 1.1×	141 1.2×	120 1.1×	57	752
Linh Nguyen Australia	15	122 0.5×	29 0.2×	109 0.9×	112 1.0×	65 0.6×	81	668
Tresna Dewi Indonesia	19	277 1.2×	249 1.9×	188 1.6×	72 0.6×	21 0.2×	121	1.1k
Hengrui Ma China	13	389 1.7×	75 0.6×	122 1.1×	125 1.1×	38 0.3×	65	709
Ahmed Al Mansur Bangladesh	14	305 1.4×	351 2.7×	153 1.3×	55 0.5×	22 0.2×	88	687
Khaled Chahine Lebanon	17	304 1.4×	186 1.5×	72 0.6×	198 1.8×	41 0.4×	75	806
Arash M. Dizqah United Kingdom	11	317 1.4×	117 0.9×	94 0.8×	76 0.7×	37 0.3×	24	687
Yong Sun China	16	671 3.0×	76 0.6×	82 0.7×	58 0.5×	33 0.3×	100	1.0k
Chun Kit Ang Malaysia	13	89 0.4×	35 0.3×	63 0.5×	79 0.7×	25 0.2×	67	515
Isaac Segovia Ramírez Spain	15	117 0.5×	151 1.2×	109 0.9×	113 1.0×	58 0.5×	36	536

Countries citing papers authored by C. Chellaswamy

Since Specialization

Citations

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

Fields of papers citing papers by C. Chellaswamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Chellaswamy

This figure shows the co-authorship network connecting the top 25 collaborators of C. Chellaswamy. A scholar is included among the top collaborators of C. Chellaswamy 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 C. Chellaswamy. C. Chellaswamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chellaswamy, C., et al.. (2024). Enhancing earth target classification in hyperspectral imagery using graph convolutional neural networks and graph-regularized sparse coding. Remote Sensing Applications Society and Environment. 37. 101419–101419. 2 indexed citations

Chellaswamy, C., et al.. (2024). FPGA-based remote target classification in hyperspectral imaging using multi-graph neural network. Microprocessors and Microsystems. 105. 105008–105008. 7 indexed citations

Chellaswamy, C., et al.. (2024). Comprehensive river water quality monitoring using convolutional neural networks and gated recurrent units: A case study along the Vaigai River. Journal of Environmental Management. 365. 121567–121567. 11 indexed citations

Chellaswamy, C., et al.. (2024). Integrating deep learning techniques for effective river water quality monitoring and management. Journal of Environmental Management. 370. 122477–122477. 9 indexed citations

Chellaswamy, C., et al.. (2024). Deep learning for river water quality monitoring: a CNN-BiLSTM approach along the Kaveri River. Sustainable Water Resources Management. 10(3). 8 indexed citations

Chellaswamy, C., et al.. (2024). Optimized convolutional neural network-based temperature and refractive index fiber optic sensor. Journal of Optics. 54(3). 586–603. 2 indexed citations

Chellaswamy, C., et al.. (2023). Performance study of crowd flow in academic buildings of an institution. 5(4). 367–381. 1 indexed citations

Krishnan, Triveni, et al.. (2023). Bird repeller for agriculture lands and orchards. AIP conference proceedings. 2899. 20003–20003. 1 indexed citations

Chellaswamy, C., et al.. (2023). Deep Learning-Based Braille Technology for Visual and Hearing Impaired People. 1–8. 3 indexed citations

10.

Chellaswamy, C., et al.. (2021). A framework for building energy management system with residence mounted photovoltaic. Building Simulation. 14(4). 1031–1046. 27 indexed citations

11.

Chellaswamy, C., et al.. (2021). Optimized convolutional neural network-based multigas detection using fiber optic sensor. Optical Engineering. 60(12). 7 indexed citations

12.

R., Ganesh Babu, et al.. (2020). Soil Test Based Smart Agriculture Management System. 7 indexed citations

13.

Chellaswamy, C., et al.. (2019). Deep Learning Based Intelligent Rail Track Health Monitoring System. International Journal of Innovative Technology and Exploring Engineering. 8(12). 693–702. 4 indexed citations

14.

Chellaswamy, C., et al.. (2019). Optimized railway track health monitoring system based on dynamic differential evolution algorithm. Measurement. 152. 107332–107332. 38 indexed citations

15.

Chellaswamy, C., et al.. (2018). An IoT Based Dam Water Management System for Agriculture. 51–56. 9 indexed citations

16.

Chellaswamy, C., et al.. (2017). A Variance Distortion Rate Control Scheme for combined Spatial-Temporal Scalable Video Coding.. Journal of Multimedia. 12. 277–290.

17.

Chellaswamy, C., et al.. (2014). An intelligent energy management and control system for electric vehicle. 2. 180–184. 5 indexed citations

18.

Chellaswamy, C., et al.. (2013). Fuzzy logic based railway track condition monitoring system. 12 indexed citations

19.

Chellaswamy, C., et al.. (2013). Green controller for rail track condition monitoring and information system. 562–567. 8 indexed citations

20.

Chellaswamy, C., et al.. (2012). Design of a Fuel Free Electric Vehicle Using Fuzzy Logic for Pollution Control. Procedia Engineering. 38. 1547–1558. 9 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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