M.V. Chilukuri

480 total citations
16 papers, 373 citations indexed

About

M.V. Chilukuri is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, M.V. Chilukuri has authored 16 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 3 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in M.V. Chilukuri's work include Power Quality and Harmonics (8 papers), Power Transformer Diagnostics and Insulation (6 papers) and Machine Fault Diagnosis Techniques (3 papers). M.V. Chilukuri is often cited by papers focused on Power Quality and Harmonics (8 papers), Power Transformer Diagnostics and Insulation (6 papers) and Machine Fault Diagnosis Techniques (3 papers). M.V. Chilukuri collaborates with scholars based in Malaysia, India and United Kingdom. M.V. Chilukuri's co-authors include P.K. Dash, Jiaqi Li, Pramod K. Dash and H.P. Khincha and has published in prestigious journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Instrumentation and Measurement and Journal of Power and Energy Engineering.

In The Last Decade

M.V. Chilukuri

14 papers receiving 334 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.V. Chilukuri Malaysia 7 340 124 115 31 28 16 373
Yang Ren-gang China 11 455 1.3× 234 1.9× 79 0.7× 25 0.8× 19 0.7× 29 481
G. Hensley United States 5 287 0.8× 144 1.2× 71 0.6× 17 0.5× 12 0.4× 5 330
S.C. Bhatt United States 9 636 1.9× 272 2.2× 217 1.9× 17 0.5× 42 1.5× 17 677
Peter G.V. Axelberg Sweden 5 287 0.8× 150 1.2× 73 0.6× 5 0.2× 24 0.9× 7 327
J. Lamoree United States 4 410 1.2× 167 1.3× 148 1.3× 15 0.5× 21 0.8× 7 427
M.M. Elkateb United Kingdom 10 349 1.0× 144 1.2× 120 1.0× 7 0.2× 12 0.4× 21 379
P. Rioual France 7 567 1.7× 380 3.1× 106 0.9× 12 0.4× 13 0.5× 9 601
Wilsun Xu Canada 4 302 0.9× 122 1.0× 39 0.3× 6 0.2× 14 0.5× 9 338
E.A. Cano-Plata Colombia 9 315 0.9× 191 1.5× 75 0.7× 3 0.1× 8 0.3× 78 390
Jozef Ghijselen Belgium 11 439 1.3× 155 1.3× 157 1.4× 4 0.1× 4 0.1× 34 451

Countries citing papers authored by M.V. Chilukuri

Since Specialization
Citations

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

Fields of papers citing papers by M.V. Chilukuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.V. Chilukuri

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

All Works

16 of 16 papers shown
1.
Chilukuri, M.V., et al.. (2023). Design and Implementation of a Smart Electric Fence Built on Solar with an Automatic Irrigation System. 1553–1558. 1 indexed citations
2.
Chilukuri, M.V., et al.. (2023). IoT Based Smart Greenhouse Using Raspberry Pi. 1–6. 3 indexed citations
3.
Chilukuri, M.V., et al.. (2022). Joint Time-Frequency Analysis of Partial Discharge AE Signals for Pattern Recognition. 2022 International Conference for Advancement in Technology (ICONAT). 68. 1–6. 2 indexed citations
6.
Chilukuri, M.V., et al.. (2018). Benchmarking Energy Efficiency in Tropical Data Centres – Metrics and Mesurements. 1–10. 1 indexed citations
7.
Li, Jiaqi & M.V. Chilukuri. (2014). Power Supply Quality Analysis Using S-Transform and SVM Classifier. Journal of Power and Energy Engineering. 2(4). 438–447. 10 indexed citations
8.
Chilukuri, M.V., et al.. (2009). Novel pattern recognition technique for an intelligent cricket decision making system. 978–982. 3 indexed citations
9.
Chilukuri, M.V., et al.. (2009). Voltage sag sensitivity of home appliances and office equipment. IET Conference Publications. 965–965. 7 indexed citations
10.
Chilukuri, M.V., et al.. (2009). Remote power quality monitoring and analysis system using LabVIEW software. 279–283. 11 indexed citations
11.
Chilukuri, M.V. & P.K. Dash. (2005). Closure on “Multiresolution S-Transform-Based Fuzzy Recognition System for Power Quality Events”. IEEE Transactions on Power Delivery. 20(1). 540–540. 8 indexed citations
12.
Dash, P.K. & M.V. Chilukuri. (2004). Hybrid S-Transform and Kalman Filtering Approach for Detection and Measurement of Short Duration Disturbances in Power Networks. IEEE Transactions on Instrumentation and Measurement. 53(2). 588–596. 89 indexed citations
13.
Dash, Pramod K., et al.. (2004). Power quality data mining using soft computing and wavelet transform. 3. 976–980. 5 indexed citations
14.
Chilukuri, M.V. & P.K. Dash. (2004). Multiresolution S-Transform-Based Fuzzy Recognition System for Power Quality Events. IEEE Transactions on Power Delivery. 19(1). 323–330. 214 indexed citations
15.
Chilukuri, M.V., P.K. Dash, & H.P. Khincha. (2004). Fault analysis of FACTS using phase-corrected wavelet transform and pattern recognition approach. 3. 986–992. 1 indexed citations
16.

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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