R. Rajalakshmi

1.1k total citations
75 papers, 552 citations indexed

About

R. Rajalakshmi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Rajalakshmi has authored 75 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Rajalakshmi's work include Text and Document Classification Technologies (13 papers), Hate Speech and Cyberbullying Detection (12 papers) and Sentiment Analysis and Opinion Mining (10 papers). R. Rajalakshmi is often cited by papers focused on Text and Document Classification Technologies (13 papers), Hate Speech and Cyberbullying Detection (12 papers) and Sentiment Analysis and Opinion Mining (10 papers). R. Rajalakshmi collaborates with scholars based in India, United States and Slovakia. R. Rajalakshmi's co-authors include S. Sivakumar, Chandrabose Aravindan, R. Karthik, R. Menaka, Ravi Bansal, Sreeja C. Nair, S. Shanmugan, R. Geetha, Bhaskar Pant and M. Pushpalatha and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Applied Soft Computing.

In The Last Decade

R. Rajalakshmi

63 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Rajalakshmi India 15 224 97 92 46 46 75 552
Muhammad Sheraz Arshad Malik Pakistan 10 133 0.6× 54 0.6× 94 1.0× 59 1.3× 25 0.5× 31 430
Ajmeera Kiran India 13 185 0.8× 84 0.9× 81 0.9× 47 1.0× 65 1.4× 111 638
Areej Alasiry Saudi Arabia 14 173 0.8× 67 0.7× 126 1.4× 54 1.2× 17 0.4× 51 570
I. Jeena Jacob India 11 138 0.6× 75 0.8× 183 2.0× 38 0.8× 16 0.3× 39 497
Yessi Jusman Indonesia 13 251 1.1× 75 0.8× 135 1.5× 95 2.1× 49 1.1× 120 590
Wael Said Egypt 13 151 0.7× 101 1.0× 91 1.0× 30 0.7× 33 0.7× 37 426
Sk Hasane Ahammad India 12 112 0.5× 79 0.8× 53 0.6× 40 0.9× 32 0.7× 58 538
Abdulaziz S. Almazyad Saudi Arabia 13 166 0.7× 77 0.8× 184 2.0× 44 1.0× 30 0.7× 67 560
Hameedur Rahman Pakistan 13 195 0.9× 68 0.7× 231 2.5× 115 2.5× 48 1.0× 62 596
Atifa Athar Pakistan 12 189 0.8× 76 0.8× 50 0.5× 73 1.6× 16 0.3× 21 484

Countries citing papers authored by R. Rajalakshmi

Since Specialization
Citations

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

Fields of papers citing papers by R. Rajalakshmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Rajalakshmi

This figure shows the co-authorship network connecting the top 25 collaborators of R. Rajalakshmi. A scholar is included among the top collaborators of R. Rajalakshmi 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 R. Rajalakshmi. R. Rajalakshmi 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.
Rajalakshmi, R., et al.. (2025). Fusion-Solar-Net for solar panel fault detection. Results in Engineering. 27. 106513–106513. 1 indexed citations
2.
Rajalakshmi, R., et al.. (2024). Dual multi scale networks for medical image segmentation using contrastive learning. Image and Vision Computing. 154. 105371–105371. 4 indexed citations
3.
Rajalakshmi, R., et al.. (2024). RiceSeedNet: Rice seed variety identification using deep neural network. Journal of Agriculture and Food Research. 16. 101062–101062. 11 indexed citations
4.
Anusha, N., et al.. (2024). Enforcement of CNN Model in Drone Detection System. 1–6. 1 indexed citations
5.
Rajalakshmi, R., et al.. (2024). AI-Powered Disease Diagnosis from Medical Image Reports. 497–502. 4 indexed citations
6.
Rajalakshmi, R., et al.. (2024). An Assistive Vision for a Visually Challenged Person using Alexa. 468–471. 5 indexed citations
7.
Rajalakshmi, R., et al.. (2023). Enhanced Hindi Aspect-based Sentiment Analysis using Class Balancing Approach. International Journal of Information Technology. 15(7). 3527–3532. 6 indexed citations
8.
Rajalakshmi, R., et al.. (2023). Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification. Journal of Information and Telecommunication. 8(2). 167–188. 3 indexed citations
9.
Sivakumar, S. & R. Rajalakshmi. (2022). Context-aware sentiment analysis with attention-enhanced features from bidirectional transformers. Social Network Analysis and Mining. 12(1). 15 indexed citations
10.
Rajalakshmi, R., et al.. (2022). HOTTEST: Hate and Offensive content identification in Tamil using Transformers and Enhanced STemming. Computer Speech & Language. 78. 101464–101464. 12 indexed citations
11.
Rajalakshmi, R., et al.. (2022). Predicting the Optimal Input Parameters for the Desired Print Quality Using Machine Learning. Micromachines. 13(12). 2231–2231. 11 indexed citations
12.
Rajalakshmi, R., et al.. (2022). GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics. 13(1). 123–123. 5 indexed citations
13.
Sivakumar, S. & R. Rajalakshmi. (2021). Analysis of Sentiment on Movie Reviews Using Word Embedding Self-Attentive LSTM. International Journal of Ambient Computing and Intelligence. 12(2). 33–52. 14 indexed citations
14.
Rajalakshmi, R., et al.. (2020). DLRG@HASOC 2020: A Hybrid Approach for Hate and Offensive Content Identification in Multilingual Tweets.. 304–310. 2 indexed citations
15.
Sivakumar, S. & R. Rajalakshmi. (2020). Hybrid convolutional bidirectional recurrent neural network based sentiment analysis on movie reviews. Computational Intelligence. 37(2). 735–757. 32 indexed citations
16.
Karthik, R., et al.. (2020). Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network. Biomedical Engineering Letters. 11(1). 3–13. 24 indexed citations
17.
Rajalakshmi, R., et al.. (2019). DLRG@HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification.. 370–379. 4 indexed citations
18.
Rajalakshmi, R., et al.. (2019). DLRG@AILA 2019: Context - Aware Legal Assistance System.. 58–63. 2 indexed citations
19.
Karthik, R., et al.. (2019). A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. Applied Soft Computing. 84. 105685–105685. 56 indexed citations
20.
Rajalakshmi, R. & Chandrabose Aravindan. (2018). A Naive Bayes approach for URL classification with supervised feature selection and rejection framework. Computational Intelligence. 34(1). 363–396. 30 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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