C. Narendra Babu

916 citations

31 papers · 657 indexed · 1 hit paper · h-index 12

Management Science and Operations Research top 2%
Electrical and Electronic Engineering
Artificial Intelligence top 10%
Economics and Econometrics top 10%
Environmental Engineering top 10%

Co-authors: B. Eswara Reddy D. Jude Hemanth
Topics: Stock Market Forecasting Methods (9 papers)Energy Load and Power Forecasting (7 papers)Web Data Mining and Analysis (7 papers)
Cited by: Management Science and Operations Research Computational Mathematics Environmental Engineering
Journals: SHILAP Revista de lepidopterologíaIEEE Transactions on Intelligent Transportation Systems Applied Soft Computing
Partner nations: India

In The Last Decade

C. Narendra Babu

30 papers receiving 623 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data

2014 377 citations C. Narendra Babu, B. Eswara Reddy Applied Soft Computing profile →

Peers

Countries citing papers authored by C. Narendra Babu

Since Specialization

Citations

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

Fields of papers citing papers by C. Narendra Babu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Narendra Babu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Audio–video syncing with lip movements using generative deep neural networks 2024 ·Multimedia Tools and Applications ·(unknown),(unknown),C. Narendra Babu	1
2	Spread Analysis and Prediction of Covid-19 in India using Machine Learning 2023 ·(unknown),C. Narendra Babu	0
3	Comparison of Machine Learning Algorithm for Stock Price Prediction Using Sentiment Analysis 2023 ·(unknown),C. Narendra Babu	2
4	On the domain aided performance boosting technique for deep predictive networks: A COVID-19 scenario 2022 ·Intelligent Decision Technologies ·(unknown),C. Narendra Babu	1
5	Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems 2022 ·Journal of Information & Knowledge Management ·(unknown),C. Narendra Babu	1
6	Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble 2022 ·PeerJ Computer Science ·(unknown),C. Narendra Babu,D. Jude Hemanth	17
7	Blockchain-based Smart Contract with Machine Learning for Insurance Claim Verification 2021 ·(unknown),C. Narendra Babu	11
8	Document Parsing Tool for Language Translation and Web Crawling using Django REST Framework 2021 ·Journal of Physics Conference Series ·(unknown),(unknown),C. Narendra Babu	2
9	Prescriptive analytics for impulsive behaviour prevention using real-time biometrics 2021 ·Progress in Artificial Intelligence ·(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),C. Narendra Babu	5
10	Impulsive Behaviour Detection System Using Machine Learning and IoT 2021 ·IETE Journal of Research ·(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),C. Narendra Babu	1
11	Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks 2021 ·Big Data Mining and Analytics ·(unknown),C. Narendra Babu,(unknown)	25
12	Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation 2020 ·IEEE Transactions on Intelligent Transportation Systems ·C. Narendra Babu,(unknown),(unknown)	17
13	Real time analysis of social media data to understand people emotions towards national parties 2017 ·(unknown),C. Narendra Babu	11
14	Prediction of Time Series Data Using GA-BPNN Based Hybrid ANN Model 2017 ·(unknown),C. Narendra Babu	10
15	Applicability of big data analytics to massive MIMO systems 2016 ·(unknown),C. Narendra Babu,(unknown)	3
16	Partitioning and interpolation based hybrid ARIMA–ANN model for time series forecasting 2016 ·Sadhana ·C. Narendra Babu,(unknown)	7
17	Performance Comparison of Four New ARIMA-ANN Prediction Models on Internet Traffic Data 2015 ·SHILAP Revista de lepidopterología ·C. Narendra Babu,B. Eswara Reddy	11
18	Prediction of selected Indian stock using a partitioning–interpolation based ARIMA–GARCH model 2014 ·Applied Computing and Informatics ·C. Narendra Babu,B. Eswara Reddy	48
19	A moving-average filter based hybrid ARIMA–ANN model for forecasting time series databreakdown → 2014 ·Applied Soft Computing ·C. Narendra Babu,B. Eswara Reddy	377
20	Predictive data mining on Average Global Temperature using variants of ARIMA models 2012 ·IEEE-International Conference On Advances In Engineering, Science And Management ·C. Narendra Babu,B. Eswara Reddy	30

About C. Narendra Babu

C. Narendra Babu is a scholar working on Management Science and Operations Research, Information Systems and Artificial Intelligence, having authored 31 papers that have together received 657 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (9 papers), Energy Load and Power Forecasting (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Management Science and Operations Research (285 citations), Computational Mathematics (5 citations) and Environmental Engineering (75 citations). C. Narendra Babu has collaborated with scholars based in India. Frequent co-authors include B. Eswara Reddy and D. Jude Hemanth. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

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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