M. Chakravarthy

876 total citations
29 papers, 537 citations indexed

About

M. Chakravarthy is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, M. Chakravarthy has authored 29 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 15 papers in Control and Systems Engineering and 5 papers in Biomedical Engineering. Recurrent topics in M. Chakravarthy's work include Power Systems Fault Detection (12 papers), Islanding Detection in Power Systems (8 papers) and Power Systems and Technologies (5 papers). M. Chakravarthy is often cited by papers focused on Power Systems Fault Detection (12 papers), Islanding Detection in Power Systems (8 papers) and Power Systems and Technologies (5 papers). M. Chakravarthy collaborates with scholars based in India, Canada and United States. M. Chakravarthy's co-authors include B. Bharathiraja, J. Jayamuthunagai, Yuvaraj Dinakarkumar, R. Ranjith Kumar, P. Sivashanmugam, R. Praveen Kumar, R. Praveenkumar, Manish Kumar, K. Pavan Kumar and M. Manjula and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Bioresource Technology and Complex & Intelligent Systems.

In The Last Decade

M. Chakravarthy

23 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Chakravarthy India 8 313 161 160 87 69 29 537
Mehmood Ali Pakistan 13 326 1.0× 100 0.6× 302 1.9× 71 0.8× 27 0.4× 31 610
Pradeepta Kumar Sahoo India 12 244 0.8× 55 0.3× 194 1.2× 81 0.9× 61 0.9× 25 550
Hemanathan Kumar Finland 10 598 1.9× 367 2.3× 139 0.9× 149 1.7× 69 1.0× 12 812
Daniel Ikhu‐Omoregbe South Africa 9 496 1.6× 165 1.0× 82 0.5× 273 3.1× 50 0.7× 37 717
Jonathan L. Wagner United Kingdom 14 313 1.0× 135 0.8× 193 1.2× 146 1.7× 19 0.3× 28 661
A. Shaija India 12 411 1.3× 116 0.7× 361 2.3× 120 1.4× 52 0.8× 28 687
Satyendra P. Chaurasia India 12 394 1.3× 160 1.0× 85 0.5× 212 2.4× 62 0.9× 36 620
Kristian Melin Finland 12 359 1.1× 60 0.4× 51 0.3× 97 1.1× 33 0.5× 37 538
Nik Nurul Anis Nik Yusuf Malaysia 7 527 1.7× 139 0.9× 99 0.6× 228 2.6× 61 0.9× 13 648
Rofice Dickson Pakistan 14 195 0.6× 108 0.7× 117 0.7× 62 0.7× 91 1.3× 22 590

Countries citing papers authored by M. Chakravarthy

Since Specialization
Citations

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

Fields of papers citing papers by M. Chakravarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Chakravarthy

This figure shows the co-authorship network connecting the top 25 collaborators of M. Chakravarthy. A scholar is included among the top collaborators of M. Chakravarthy 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 M. Chakravarthy. M. Chakravarthy 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.
Chakravarthy, M., et al.. (2024). Power Flow Control between the Grid and Distributed Generation for Dynamic Load Variation with VSC Converter. International Journal of Innovative Science and Research Technology (IJISRT). 1631–1639. 1 indexed citations
2.
Chakravarthy, M., et al.. (2023). Fuzzy Location Algorithm for Cross-Country and Evolving Faults in EHV Transmission Line. International Journal of Fuzzy Logic and Intelligent Systems. 23(2). 130–139. 2 indexed citations
3.
Ramesha, M, et al.. (2023). Inter-Circuit Fault Classification in Parallel Incomplete Journey Transmission Lines Using Artificial Neural Networks: A MATLAB-Based Approach. Journal Européen des Systèmes Automatisés. 56(3). 377–381. 1 indexed citations
4.
Chakravarthy, M., et al.. (2022). Novel PMU Model for Dynamic State Disturbance Analysis with Effective Data Handling System. International Journal of Electrical and Electronics Research. 10(4). 1306–1314.
5.
Chakravarthy, M., et al.. (2022). Series capacitor-compensated double-circuit transmission line directional relay system using a fuzzy expert system with a Haar wavelet. Iran Journal of Computer Science. 5(2). 157–166. 1 indexed citations
6.
Chakravarthy, M., et al.. (2022). Power system contingency classification using machine learning technique. Bulletin of Electrical Engineering and Informatics. 11(6). 3091–3098. 2 indexed citations
7.
8.
Chakravarthy, M., et al.. (2020). A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system. Complex & Intelligent Systems. 6(2). 335–346. 10 indexed citations
9.
Chakravarthy, M., et al.. (2019). Fuzzy Expert System based Protection for Double Circuit Incomplete Journey Transmission Lines. SSRN Electronic Journal. 3 indexed citations
10.
11.
Chakravarthy, M., et al.. (2019). Adaptive neuro fuzzy inference system-based fault location technique in double circuit transmission line against simultaneous faults. Multiscale and Multidisciplinary Modeling Experiments and Design. 3(2). 143–150. 6 indexed citations
12.
13.
Chakravarthy, M., et al.. (2018). Fuzzy Inference System Based Distance Estimation Approach for Multi Location and Transforming Phase to Ground Faults in Six Phase Transmission Line. International Journal of Computational Intelligence Systems. 11(1). 757–757. 14 indexed citations
14.
Chakravarthy, M., et al.. (2018). Power System Contingency Classification Using KNN Algorithm. 1 indexed citations
15.
Bharathiraja, B., et al.. (2016). Biodiesel production from different algal oil using immobilized pure lipase and tailor made rPichia pastoris with Cal A and Cal B genes. Bioresource Technology. 213. 69–78. 24 indexed citations
16.
Bharathiraja, B., et al.. (2016). Biobutanol – An impending biofuel for future: A review on upstream and downstream processing tecniques. Renewable and Sustainable Energy Reviews. 68. 788–807. 139 indexed citations
17.
18.
Bharathiraja, B., et al.. (2014). Biofuels from sewage sludge- A review. International Journal of ChemTech Research. 6(9). 4417–4427. 23 indexed citations
19.
Chakravarthy, M., et al.. (2012). CONTROL OF SHUNT ACTIVE POWER FILTER IN A POWER SYSTEM USING MATLAB/SIMULINK. 1(7). 2 indexed citations
20.
Chakravarthy, M., et al.. (2012). Control of Shunt Active Power Filter Using LabVIEW. 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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