Meera Narvekar

548 total citations
47 papers, 285 citations indexed

About

Meera Narvekar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meera Narvekar has authored 47 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meera Narvekar's work include Leaf Properties and Growth Measurement (5 papers), Web Data Mining and Analysis (5 papers) and Caching and Content Delivery (4 papers). Meera Narvekar is often cited by papers focused on Leaf Properties and Growth Measurement (5 papers), Web Data Mining and Analysis (5 papers) and Caching and Content Delivery (4 papers). Meera Narvekar collaborates with scholars based in India, Netherlands and Malaysia. Meera Narvekar's co-authors include Abhijit Joshi, Hari Vasudevan, Narendra Shekokar, Antonis Michalas, Shikha Mehta, Debajyoti Mukhopadhyay, Pallavi Vijay Chavan, Saiqa Khan, Hemant Palivela and Ramchandra Mangrulkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Engineering Applications of Artificial Intelligence.

In The Last Decade

Meera Narvekar

36 papers receiving 260 citations

Peers

Meera Narvekar
Frimpong Twum Ghana
Huỳnh Quyết Thắng Vietnam
Rashed Mustafa Bangladesh
Mogeeb A. A. Mosleh Yemen
Hiep Xuan Huynh Vietnam
Long Zhao China
Jiaying Wang China
Facundo Bromberg Argentina
Savita Kolhe India
Kanwarpartap Singh Gill India
Frimpong Twum Ghana
Meera Narvekar
Citations per year, relative to Meera Narvekar Meera Narvekar (= 1×) peers Frimpong Twum

Countries citing papers authored by Meera Narvekar

Since Specialization
Citations

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

Fields of papers citing papers by Meera Narvekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meera Narvekar

This figure shows the co-authorship network connecting the top 25 collaborators of Meera Narvekar. A scholar is included among the top collaborators of Meera Narvekar 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 Meera Narvekar. Meera Narvekar 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.
Narvekar, Meera, et al.. (2024). Audio separation and classification of Indian classical instruments. Engineering Applications of Artificial Intelligence. 133. 108582–108582. 1 indexed citations
2.
Narvekar, Meera, et al.. (2024). A Multimodal Framework for Deepfake Detection. Journal of Electrical Systems. 2 indexed citations
3.
Palivela, Hemant & Meera Narvekar. (2024). Development of a code-switched Hindi-Marathi dataset and transformer-based architecture for enhanced speech recognition using dynamic switching algorithms. Applied Acoustics. 230. 110408–110408. 1 indexed citations
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Shah, Shreya, et al.. (2024). Deep Learning-Enabled Smart Glove for Real-Time Sign Language Translation. Journal of Electrical Systems.
7.
Panchal, V. K., et al.. (2023). Multimodal Emotion Recognition in Video, Audio, and Text using Deep and Transfer Learning. 1–7. 1 indexed citations
8.
Jain, Chirag, et al.. (2022). A Study on Video Analytics and Their Performance Analysis for Various Object Detection Algorithms. 1804. 1095–1100. 1 indexed citations
9.
Narvekar, Meera, et al.. (2022). A semi-supervised clustering-based classification model for classifying imbalanced data streams in the presence of scarcely labelled data. International Journal of Business Intelligence and Data Mining. 20(2). 170–170. 1 indexed citations
10.
Narvekar, Meera, et al.. (2021). A Decision Support System for Predicting Socially Depressed Users Using Bidirectional Encoders Representations from Transformers (BERT). Journal of University of Shanghai for Science and Technology. 23(3).
11.
Mangrulkar, Ramchandra, Antonis Michalas, Narendra Shekokar, Meera Narvekar, & Pallavi Vijay Chavan. (2021). Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. 3 indexed citations
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Narvekar, Meera, et al.. (2020). Content Based Search Engine for E-Books. 528–533.
15.
Narvekar, Meera, et al.. (2019). Image Processing based application of Thermal Imaging for Monitoring Stress Detection in Tomato Plants. 1111–1116. 4 indexed citations
16.
Narvekar, Meera, et al.. (2018). Survey of Techniques for Disorder Detection in Tomato(Solanum Lycopersicum). 1. 1853–1858. 1 indexed citations
17.
Joshi, Abhijit, et al.. (2016). Review of knowledge representation techniques for Intelligent Tutoring System. International Conference on Computing for Sustainable Global Development. 2508–2512. 5 indexed citations
18.
Narvekar, Meera, et al.. (2016). Cooperative Caching technique in peer to peer mobile environment. 1. 246–250. 1 indexed citations
19.
Narvekar, Meera, et al.. (2015). DOM tree based approach for Web content extraction. 1–6. 8 indexed citations
20.
Narvekar, Meera, et al.. (2015). Daily Weather Forecasting using Artificial Neural Network. International Journal of Computer Applications. 121(22). 9–13. 39 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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