Prabira Kumar Sethy

3.9k total citations · 2 hit papers
105 papers, 1.9k citations indexed

About

Prabira Kumar Sethy is a scholar working on Plant Science, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Prabira Kumar Sethy has authored 105 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 34 papers in Analytical Chemistry and 21 papers in Artificial Intelligence. Recurrent topics in Prabira Kumar Sethy's work include Smart Agriculture and AI (40 papers), Spectroscopy and Chemometric Analyses (34 papers) and AI in cancer detection (13 papers). Prabira Kumar Sethy is often cited by papers focused on Smart Agriculture and AI (40 papers), Spectroscopy and Chemometric Analyses (34 papers) and AI in cancer detection (13 papers). Prabira Kumar Sethy collaborates with scholars based in India, Thailand and Saudi Arabia. Prabira Kumar Sethy's co-authors include Santi Kumari Behera, Amiya Kumar Rath, Nalini Kanta Barpanda, Preesat Biswas, Sibarama Panigrahi, Radha Mohan Pattanayak, K. Vijayakumar, Aziz Nanthaamornphong, Madhabananda Das and Santosh Kumar Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Prabira Kumar Sethy

88 papers receiving 1.8k 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.

Deep feature based rice leaf disease identification using support vector machine

2020 386 citations Prabira Kumar Sethy, Nalini Kanta Barpanda et al. profile →
Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine

2020 262 citations Prabira Kumar Sethy, Santi Kumari Behera et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prabira Kumar Sethy India	22	1.1k	584	356	346	214	105	1.9k
Santi Kumari Behera India	21	1.0k 1.0×	533 0.9×	351 1.0×	336 1.0×	197 0.9×	90	1.8k
Kashif Javed Pakistan	21	877 0.8×	458 0.8×	190 0.5×	414 1.2×	455 2.1×	38	1.9k
Suneet Gupta India	18	674 0.6×	254 0.4×	156 0.4×	188 0.5×	247 1.2×	42	1.4k
Jamal Hussain Shah Pakistan	26	599 0.6×	284 0.5×	347 1.0×	558 1.6×	782 3.7×	75	2.2k
Uday Pratap Singh India	19	877 0.8×	393 0.7×	83 0.2×	254 0.7×	360 1.7×	77	2.0k
Siddharth Singh Chouhan India	17	957 0.9×	416 0.7×	90 0.3×	144 0.4×	227 1.1×	37	1.4k
Jyotismita Chaki India	18	350 0.3×	162 0.3×	202 0.6×	359 1.0×	280 1.3×	49	1.3k
Atul Bansal India	18	519 0.5×	400 0.7×	152 0.4×	73 0.2×	186 0.9×	59	1.2k
Muhammet Fatih Aslan Türkiye	20	316 0.3×	184 0.3×	380 1.1×	417 1.2×	304 1.4×	61	1.4k
Sweta Jain India	13	400 0.4×	131 0.2×	246 0.7×	303 0.9×	161 0.8×	58	1.1k

Countries citing papers authored by Prabira Kumar Sethy

Since Specialization

Citations

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

Fields of papers citing papers by Prabira Kumar Sethy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabira Kumar Sethy. 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 Prabira Kumar Sethy. The network helps show where Prabira Kumar Sethy may publish in the future.

Co-authorship network of co-authors of Prabira Kumar Sethy

This figure shows the co-authorship network connecting the top 25 collaborators of Prabira Kumar Sethy. A scholar is included among the top collaborators of Prabira Kumar Sethy 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 Prabira Kumar Sethy. Prabira Kumar Sethy 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

Sethy, Prabira Kumar, et al.. (2025). Transfer learning-based lightweight MobileNetV2 with CBAM attention for rice leaf nutrient deficiency detection. Neural Computing and Applications. 37(32). 27179–27198.

Behera, Santi Kumari, et al.. (2024). Breast mass density categorisation using deep transferred EfficientNet with support vector machines. Multimedia Tools and Applications. 83(30). 74883–74896. 1 indexed citations

Biswas, Preesat, et al.. (2024). Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques. Journal of Intelligent Systems. 33(1).

Barpanda, Nalini Kanta, et al.. (2024). Navigating the cyber forensics landscape a review of recent innovations. International Journal of Informatics and Communication Technology (IJ-ICT). 13(1). 27–27. 1 indexed citations

Sethy, Prabira Kumar, et al.. (2024). Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation. IEEE Access. 12. 88913–88926. 2 indexed citations

Sethy, Prabira Kumar, et al.. (2024). Machine learning with analysis-of-variance-based method for identifying rice varieties. Journal of Agriculture and Food Research. 18. 101397–101397. 3 indexed citations

Sethy, Prabira Kumar, et al.. (2024). Durum Wheat Classification Using Feature Selection, Bayesian Optimization and Support Vector. 1–6.

Sethy, Prabira Kumar, et al.. (2024). Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases. Multimedia Tools and Applications. 83(28). 71189–71202. 4 indexed citations

Dash, Soubhagya Kumar, Sudarson Jena, & Prabira Kumar Sethy. (2024). Deep Learning-Based Classification of Diabetic Retinopathy Severity Using DenseNet201 and SVM with Cubic Kernel. 1–5.

10.

Rao, C. V. Guru, Santi Kumari Behera, & Prabira Kumar Sethy. (2024). Small CNN Architectures for Wheat Leaf Rust Detection: A MobileNetV2 and ShuffleNet Approach with SVM. 1178–1182.

11.

Kumari, Jyoti, Santi Kumari Behera, Prabira Kumar Sethy, & Aziz Nanthaamornphong. (2024). Enhanced Parkinson’s Disease Diagnosis via MRI Analysis: Integrating Deep Features From DenseNet201 With Neural Network Techniques. Applied Computational Intelligence and Soft Computing. 2024(1).

12.

Sethy, Prabira Kumar, et al.. (2023). Hybrid Enhanced Featured AlexNet for Milled Rice Grain Identification. Ingénierie des systèmes d information. 28(3). 663–668. 3 indexed citations

13.

Barpanda, Nalini Kanta, et al.. (2023). Papaya Fruit Maturity Estimation Using Wavelet and ConvNET. Ingénierie des systèmes d information. 28(1). 175–181. 6 indexed citations

14.

Sethy, Prabira Kumar, et al.. (2023). Evaluation of optimization techniques with support vector machine for identification of dry beans. Indonesian Journal of Electrical Engineering and Computer Science. 32(2). 704–704. 3 indexed citations

15.

Sethy, Prabira Kumar, et al.. (2023). Deep Ensemble Learning for Fake Digital Image Detection: A Convolutional Neural Network-Based Approach. Revue d intelligence artificielle. 37(3). 703–708. 2 indexed citations

16.

Barpanda, Nalini Kanta, et al.. (2022). Adaptation issues of machine learning in safety digitization. Indonesian Journal of Electrical Engineering and Computer Science. 29(3). 1802–1802. 1 indexed citations

17.

Biswas, Preesat, et al.. (2022). Brain tumor magnetic resonance images classification based machine learning paradigms. Współczesna Onkologia. 26(4). 268–274. 13 indexed citations

18.

Sethy, Prabira Kumar, et al.. (2022). Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine. Journal of Digital Imaging. 35(5). 1207–1216. 8 indexed citations

19.

Sethy, Prabira Kumar, et al.. (2021). A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors. Journal of Electrical Engineering and Technology. 16(4). 1799–1819. 9 indexed citations

20.

Sethy, Prabira Kumar, Nalini Kanta Barpanda, & Amiya Kumar Rath. (2018). Quantification of rice chalkiness using image processing. Asian Journal of Multidimensional Research. 7(8). 74–80. 1 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.

Explore authors with similar magnitude of impact