V. Manikandan

631 total citations
49 papers, 353 citations indexed

About

V. Manikandan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, V. Manikandan has authored 49 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 12 papers in Control and Systems Engineering. Recurrent topics in V. Manikandan's work include Integrated Circuits and Semiconductor Failure Analysis (7 papers), VLSI and Analog Circuit Testing (7 papers) and Energy Load and Power Forecasting (5 papers). V. Manikandan is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (7 papers), VLSI and Analog Circuit Testing (7 papers) and Energy Load and Power Forecasting (5 papers). V. Manikandan collaborates with scholars based in India, Iraq and Ethiopia. V. Manikandan's co-authors include N. Devarajan, Amin Salih Mohammed, M. Sivaram, V. Porkodi, K. Shankar, N. Krishnaraj, Deepak Gupta, Thavavel Vaiyapuri, Velmurugan Subbiah Parvathy and N. Yuvaraj and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.

In The Last Decade

V. Manikandan

42 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Manikandan India	11	158	135	58	55	54	49	353
Reiner Kriesten Germany	10	209 1.3×	92 0.7×	41 0.7×	45 0.8×	68 1.3×	33	384
Benjamin Weyl Germany	6	219 1.4×	143 1.1×	38 0.7×	21 0.4×	36 0.7×	9	283
Lei Miao United States	9	115 0.7×	120 0.9×	119 2.1×	49 0.9×	36 0.7×	42	363
Salah-ddine Krit Morocco	10	112 0.7×	121 0.9×	58 1.0×	13 0.2×	44 0.8×	62	291
Wolfgang Granzer Austria	11	129 0.8×	172 1.3×	152 2.6×	47 0.9×	78 1.4×	22	403
Siegfried Mercelis Belgium	9	85 0.5×	117 0.9×	37 0.6×	18 0.3×	30 0.6×	63	257
Michael Birbas Greece	9	196 1.2×	65 0.5×	87 1.5×	28 0.5×	41 0.8×	66	330
Peter Priller Austria	9	148 0.9×	198 1.5×	30 0.5×	20 0.4×	37 0.7×	41	335
Kazutoshi Fujikawa Japan	11	149 0.9×	265 2.0×	19 0.3×	48 0.9×	95 1.8×	65	389
Artemis Voulkidis Greece	10	130 0.8×	177 1.3×	82 1.4×	13 0.2×	119 2.2×	27	374

Countries citing papers authored by V. Manikandan

Since Specialization

Citations

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

Fields of papers citing papers by V. Manikandan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Manikandan

This figure shows the co-authorship network connecting the top 25 collaborators of V. Manikandan. A scholar is included among the top collaborators of V. Manikandan 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 V. Manikandan. V. Manikandan 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

Manikandan, V., et al.. (2024). Generative AI Project Assistant. International Journal of Innovative Science and Research Technology (IJISRT). 1253–1259. 1 indexed citations

Manikandan, V., et al.. (2023). Grasshopper Optimized Tuning of Support Vector Regression for Day a Head Prognostic Problem. 1–6. 1 indexed citations

Manikandan, V., et al.. (2023). Synergizing IoT, IoE, GSM Technology, and Deep Learning Models for Advanced Security Applications: A Comprehensive Overview. 7(4). 38–46. 5 indexed citations

Manikandan, V., et al.. (2023). Automated Waste Segregation using Machine Learning. 264–268.

Manikandan, V., et al.. (2022). Levy flight-particle swarm optimization-assisted BiLSTM + dropout deep learning model for short-term load forecasting. Neural Computing and Applications. 35(3). 2679–2700. 17 indexed citations

Manikandan, V., et al.. (2021). Fault Diagnosis of Linear Analog Electronic Circuit Based on Natural Response Specification using K-NN Algorithm. Journal of Electronic Testing. 37(1). 83–96. 7 indexed citations

Manikandan, V., et al.. (2021). Time Series Load Forecasting Using Pooling Based Multitasking Deep Neural Network. 4. 1–5. 2 indexed citations

Manikandan, V., et al.. (2020). Remaining Useful Life Prediction of Analog Circuit Using Improved Unscented Particle Filter. Journal of Electronic Testing. 36(2). 169–181. 7 indexed citations

Sasirekha, S.P., et al.. (2020). Graph based event measurement for analyzing distributed anomalies in sensor networks. Sadhana. 45(1). 24 indexed citations

10.

Sivaram, M., V. Porkodi, Amin Salih Mohammed, V. Manikandan, & N. Yuvaraj. (2019). Retransmission DBTMA Protocol With Fast Retransmission Strategy to Improve the Performance of MANETs. IEEE Access. 7. 85098–85109. 21 indexed citations

11.

Manikandan, V.. (2019). Energy Efficient Dynamic Routing in Wireless Sensor Networks. International Journal of Advanced Trends in Computer Science and Engineering. 8(5). 2189–2193. 3 indexed citations

12.

Sivaram, M., V. Porkodi, Amin Salih Mohammed, & V. Manikandan. (2019). Detection of Accurate Facial Detection using Hybrid Deep Convolutional Recurrent Neural Network. 9. 1844–1850. 16 indexed citations

13.

Sivaram, M., D. Yuvaraj, Amin Salih Mohammed, et al.. (2019). Improved Enhanced Dbtma with Contention-Aware Admission Control to Improve the NetworkPerformance in Manets. Computers, materials & continua/Computers, materials & continua (Print). 60(2). 435–454. 11 indexed citations

14.

Manikandan, V., et al.. (2019). Stability Analysis of Cyber-Physical Micro Grid Load Frequency Control System with Time-Varying Delay and Non-Linear Load Perturbations. Computer Modeling in Engineering & Sciences. 121(3). 801–813. 4 indexed citations

15.

Manikandan, V., V. Porkodi, Amin Salih Mohammed, & M. Sivaram. (2018). PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY C-MEANS CLUSTERING. SHILAP Revista de lepidopterología. 17 indexed citations

16.

Manikandan, V., et al.. (2013). Comparison of Fuzzy and FPGA Based Fault Tolerant Schemes for Four Switch Space Vector PWM Inverters. International Review of Electrical Engineering (IREE). 8(5). 1395–1402. 1 indexed citations

17.

Kanthalakshmi, S., et al.. (2011). Fault tolerant control design for simultaneous actuator and sensor faults using multiple MPCs. 59–63. 2 indexed citations

18.

Manikandan, V., et al.. (2011). Improved coefficient based test for diagnosing parametric faults of analog circuits. 64–68. 5 indexed citations

19.

Manikandan, V., et al.. (2009). Analog circuit fault diagnosis based on bandwidth and fuzzy classifier. 51. 1–6. 15 indexed citations

20.

Manikandan, V. & N. Devarajan. (2007). SBT Approach towards Analog Electronic Circuit Fault Diagnosis. Active and Passive Electronic Components. 2007. 1–12. 11 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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