R. Suguna

603 total citations
47 papers, 184 citations indexed

About

R. Suguna is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Suguna has authored 47 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Suguna's work include Data Mining Algorithms and Applications (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Customer churn and segmentation (4 papers). R. Suguna is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Customer churn and segmentation (4 papers). R. Suguna collaborates with scholars based in India, Spain and Poland. R. Suguna's co-authors include M. Shyamala Devi, Yogesh Kumar, S. Palanivel Rajan, S. Prabagaran and S. N. Deepa and has published in prestigious journals such as SHILAP Revista de lepidopterología, EURASIP Journal on Image and Video Processing and Journal of Computational and Theoretical Nanoscience.

In The Last Decade

R. Suguna

40 papers receiving 168 citations

Peers

R. Suguna
Biresh Kumar India
Elham Kariri Saudi Arabia
P. N. Renjith India
Tripti Tiwari India
Leszek Borzemski Poland
Amelia Bădică Romania
Shipra Saraswat India
Sujala D. Shetty United Arab Emirates
Anas W. Abulfaraj Saudi Arabia
Mostafijur Rahman Bangladesh
Biresh Kumar India
R. Suguna
Citations per year, relative to R. Suguna R. Suguna (= 1×) peers Biresh Kumar

Countries citing papers authored by R. Suguna

Since Specialization
Citations

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

Fields of papers citing papers by R. Suguna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. Suguna. A scholar is included among the top collaborators of R. Suguna 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. Suguna. R. Suguna 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.
Suguna, R., et al.. (2025). Brain Tumour Detection and Segmentation via Region-of-Interest Aided Deep Learning Model. Journal of Electrical Engineering and Technology. 20(8). 5571–5582.
2.
Suguna, R., et al.. (2024). Impact of IoT Data Integration on Real-Time Analytics for Smart City Management. 772–777. 1 indexed citations
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Suguna, R., et al.. (2024). A Probabilistic Descent Ensemble for Malware Prediction Using Deep Learning. EAI Endorsed Transactions on Internet of Things. 10.
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Suguna, R., et al.. (2023). Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance. Journal of Machine and Computing. 475–485. 5 indexed citations
7.
Suguna, R., et al.. (2023). Hand Written Digit Recognition using Multilayer Deep Convolutional Neural Network. 1–5. 1 indexed citations
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Suguna, R., et al.. (2022). Enhancing the Performance of Association Rule Generation over Dynamic Data using Incremental Tree Structures. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 3 indexed citations
11.
Suguna, R., et al.. (2022). Sarcasm Detection on Text for Political Domain— An Explainable Approach. International Journal on Recent and Innovation Trends in Computing and Communication. 10(2s). 255–268. 4 indexed citations
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Suguna, R., et al.. (2021). Segmentation of E-commerce users based on cart abandonment and product recommendation through collaborative filtering: the moderating effect of exorbitant pricing. International Journal of Systems Assurance Engineering and Management. 6 indexed citations
15.
Devi, M. Shyamala, et al.. (2019). Regressor Fitting Of Feature Importance For Customer Segment Prediction With Ensembling Schemes Using Machine Learning. International Journal of Engineering and Advanced Technology. 8(6). 952–956. 11 indexed citations
16.
Suguna, R., et al.. (2019). Customer Segment Prognostic System by Machine Learning using Principal Component and Linear Discriminant Analysis. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 6198–6203. 6 indexed citations
17.
Devi, M. Shyamala, et al.. (2019). Feature Snatching and Performance Assessment for Connoting the Admittance Likelihood of student using Principal Component Reduction. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 4800–4807. 1 indexed citations
18.
Suguna, R., et al.. (2014). USER INTEREST LEVEL BASED PREPROCESSING ALGORITHMS USING WEB USAGE MINING. 4 indexed citations
19.
Suguna, R., et al.. (2014). A genetic optimized neural network for image retrieval in telemedicine. EURASIP Journal on Image and Video Processing. 2014(1). 5 indexed citations
20.
Suguna, R., et al.. (2013). An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms. International Journal of Computer Applications. 70(3). 37–44. 5 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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