V G Narendra

518 total citations
33 papers, 331 citations indexed

About

V G Narendra is a scholar working on Plant Science, Analytical Chemistry and Information Systems. According to data from OpenAlex, V G Narendra has authored 33 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 15 papers in Analytical Chemistry and 7 papers in Information Systems. Recurrent topics in V G Narendra's work include Spectroscopy and Chemometric Analyses (15 papers), Smart Agriculture and AI (14 papers) and Blockchain Technology Applications and Security (7 papers). V G Narendra is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Smart Agriculture and AI (14 papers) and Blockchain Technology Applications and Security (7 papers). V G Narendra collaborates with scholars based in India. V G Narendra's co-authors include Krishnamoorthi Makkithaya, Dasharathraj K Shetty, M. Supriya, U. Dinesh Acharya, Mamatha Balachandra, Arun G. Maiya and Vidya Pai and has published in prestigious journals such as Scientific Reports, IEEE Access and ACM Computing Surveys.

In The Last Decade

V G Narendra

24 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V G Narendra India 9 149 122 65 40 38 33 331
Ashish Mishra India 9 138 0.9× 75 0.6× 57 0.9× 26 0.7× 39 1.0× 36 431
Bankim Patel India 9 137 0.9× 114 0.9× 55 0.8× 37 0.9× 73 1.9× 24 317
Shilpi Harnal India 9 331 2.2× 129 1.1× 34 0.5× 17 0.4× 39 1.0× 24 464
Poonam Dhiman India 8 249 1.7× 120 1.0× 59 0.9× 22 0.6× 65 1.7× 14 498
Ruber Hernández-García Chile 9 155 1.0× 92 0.8× 26 0.4× 73 1.8× 90 2.4× 46 467
G. Sambasivam India 9 189 1.3× 75 0.6× 57 0.9× 20 0.5× 100 2.6× 20 447
Naresh Kumar Trivedi India 13 319 2.1× 119 1.0× 40 0.6× 27 0.7× 99 2.6× 73 615
Noor Mohd India 9 85 0.6× 42 0.3× 49 0.8× 33 0.8× 67 1.8× 45 429
Deepak Banerjee India 12 237 1.6× 72 0.6× 24 0.4× 25 0.6× 39 1.0× 135 513
Shiyun Wa China 10 216 1.4× 60 0.5× 24 0.4× 19 0.5× 41 1.1× 10 339

Countries citing papers authored by V G Narendra

Since Specialization
Citations

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

Fields of papers citing papers by V G Narendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V G Narendra

This figure shows the co-authorship network connecting the top 25 collaborators of V G Narendra. A scholar is included among the top collaborators of V G Narendra 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 G Narendra. V G Narendra 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.
Narendra, V G, et al.. (2025). Intelligent Systems for Crop Recommendation using Machine Learning. 24. 14–19.
2.
Narendra, V G, et al.. (2025). Morphological features for multi-model rice grain classification. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(3). 3212–3212.
3.
Narendra, V G, et al.. (2025). Kernel to computation: identifying optimal feature set for red rice classification. Smart Agricultural Technology. 12. 101065–101065.
4.
Narendra, V G, et al.. (2025). Lightweight Consensus in Blockchain: A Systematic Literature Review. ACM Computing Surveys. 58(3). 1–37.
5.
Makkithaya, Krishnamoorthi, et al.. (2025). A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture. SN Computer Science. 6(3). 2 indexed citations
6.
Makkithaya, Krishnamoorthi, et al.. (2025). Blockchain oracles for decentralized agricultural insurance using trusted IoT data. Frontiers in Blockchain. 7. 3 indexed citations
7.
Balachandra, Mamatha, et al.. (2025). Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach. Scientific Reports. 15(1). 20962–20962.
8.
Balachandra, Mamatha, et al.. (2025). Application of Soft Computing for Prediction of Peripheral Neuropathy in T2DM-A Real-Time Data Analysis. IEEE Access. 13. 29264–29278.
9.
Narendra, V G, et al.. (2023). Exploring IoT-Blockchain Integration in Agriculture: An Experimental Study. IEEE Access. 11. 130439–130450. 4 indexed citations
10.
Makkithaya, Krishnamoorthi, et al.. (2023). A Blockchain-Based Credentials for Food Traceability in Agricultural Supply Chain. 19–24. 5 indexed citations
11.
Makkithaya, Krishnamoorthi, et al.. (2022). A Federated Learning-Based Crop Yield Prediction for Agricultural Production Risk Management. 2022 IEEE Delhi Section Conference (DELCON). 1–7. 42 indexed citations
12.
Makkithaya, Krishnamoorthi, et al.. (2022). A trusted IoT data sharing and secure oracle based access for agricultural production risk management. Computers and Electronics in Agriculture. 204. 107544–107544. 31 indexed citations
13.
Narendra, V G, et al.. (2021). Almond kernel variety identification and classification using decision tree. 16(5). 3923–3942. 2 indexed citations
14.
Shetty, Dasharathraj K, et al.. (2020). Intelligent System to Evaluate the Quality of DRC using Image Processing and then Categorize using Artificial Neural Network (ANN). Indian Journal of Agricultural Research. 54(6). 716–723. 2 indexed citations
15.
Narendra, V G, et al.. (2019). Adaptive Best Mother Wavelet Based Compressive Sensing Algorithm for Energy Efficient ECG Signal Compression in WBAN Node. International Journal of Innovative Technology and Exploring Engineering. 8(10). 685–690.
16.
Narendra, V G, et al.. (2018). Implementing and testing of IoT technology in agriculture. International Journal of Innovative Technology and Exploring Engineering. 7(6). 190–194. 1 indexed citations
17.
Narendra, V G. (2013). An Intelligent system for identification of Indian Lentil types using Artificial Neural Network (BPNN). IOSR Journal of Computer Engineering. 15(5). 54–60. 12 indexed citations
18.
Narendra, V G, et al.. (2012). Computer Vision system for cashew kernel area estimation. 10. 1–6. 3 indexed citations
19.
Narendra, V G, et al.. (2011). Study and comparison of various image edge detection techniques used in quality inspection and evaluation of agricultural and food products by computer vision. International journal of agricultural and biological engineering. 4(2). 83–90. 24 indexed citations
20.
Narendra, V G, et al.. (2010). Prospects of Computer Vision Automated Grading and Sorting Systems in Agricultural and Food Products for Quality Evaluation. International Journal of Computer Applications. 1(4). 1–12. 57 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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