Manas Ranjan Prusty

833 total citations
32 papers, 458 citations indexed

About

Manas Ranjan Prusty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Manas Ranjan Prusty has authored 32 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Manas Ranjan Prusty's work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (4 papers) and Digital Imaging for Blood Diseases (3 papers). Manas Ranjan Prusty is often cited by papers focused on AI in cancer detection (6 papers), COVID-19 diagnosis using AI (4 papers) and Digital Imaging for Blood Diseases (3 papers). Manas Ranjan Prusty collaborates with scholars based in India, United States and Israel. Manas Ranjan Prusty's co-authors include K. Velusamy, Manoj Kumar, Manish K. Pandey, Baozhu Guo, Rajeev K. Varshney, Prashant Kumar Singh, Abhishek Bohra, Anmol Gupta, Rajesh Kumar Tripathy and Ambreen Bano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Manas Ranjan Prusty

29 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manas Ranjan Prusty India 12 145 96 96 62 58 32 458
Amal H. Alharbi Saudi Arabia 11 174 1.2× 77 0.8× 36 0.4× 70 1.1× 142 2.4× 45 593
T. Vijayakumar India 12 131 0.9× 48 0.5× 49 0.5× 71 1.1× 124 2.1× 41 538
Ebenezer O. Olaniyi United States 12 108 0.7× 46 0.5× 182 1.9× 31 0.5× 55 0.9× 29 590
Hengde Zhu United Kingdom 7 172 1.2× 150 1.6× 34 0.4× 44 0.7× 172 3.0× 14 596
Happy Nkanta Monday China 14 252 1.7× 279 2.9× 97 1.0× 31 0.5× 124 2.1× 49 606
P. Punitha India 12 77 0.5× 39 0.4× 100 1.0× 18 0.3× 188 3.2× 47 414
Wei Qi Yan New Zealand 15 119 0.8× 65 0.7× 80 0.8× 120 1.9× 370 6.4× 67 898
Vandana Bharti India 9 153 1.1× 85 0.9× 154 1.6× 93 1.5× 82 1.4× 22 450
Yessi Jusman Indonesia 13 251 1.7× 95 1.0× 44 0.5× 27 0.4× 135 2.3× 120 590
Sofia Visa United States 8 142 1.0× 35 0.4× 223 2.3× 129 2.1× 54 0.9× 20 593

Countries citing papers authored by Manas Ranjan Prusty

Since Specialization
Citations

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

Fields of papers citing papers by Manas Ranjan Prusty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manas Ranjan Prusty. 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 Manas Ranjan Prusty. The network helps show where Manas Ranjan Prusty may publish in the future.

Co-authorship network of co-authors of Manas Ranjan Prusty

This figure shows the co-authorship network connecting the top 25 collaborators of Manas Ranjan Prusty. A scholar is included among the top collaborators of Manas Ranjan Prusty 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 Manas Ranjan Prusty. Manas Ranjan Prusty 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.
Pradhan, Gayadhar, et al.. (2025). Advanced IoT-integrated parking systems with automated license plate recognition and payment management. Scientific Reports. 15(1). 2388–2388. 3 indexed citations
2.
Prusty, Manas Ranjan, et al.. (2025). Named Entity Recognition Based Neural Network Framework for Stock Trend Prediction Using Latent Dirichlet Allocation. Arabian Journal for Science and Engineering. 1 indexed citations
3.
4.
Prusty, Manas Ranjan, et al.. (2024). Efficient colorectal polyp segmentation using wavelet transformation and AdaptUNet: A hybrid U-Net. Heliyon. 10(13). e33655–e33655. 6 indexed citations
5.
Prusty, Manas Ranjan, et al.. (2024). Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach. Applied Soft Computing. 161. 111714–111714. 6 indexed citations
6.
Mishra, Debahuti, et al.. (2024). Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning. IEEE Access. 12. 9963–9975. 8 indexed citations
7.
Prusty, Manas Ranjan, et al.. (2024). Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals. Scientific Reports. 14(1). 2633–2633. 8 indexed citations
8.
Prusty, Manas Ranjan, et al.. (2024). Steel Defect Detection Using a ResNet-Inspired Model and Fourier Transforms. 1–6. 1 indexed citations
9.
Kumar, Manoj, Manas Ranjan Prusty, Manish K. Pandey, et al.. (2023). Application of CRISPR/Cas9-mediated gene editing for abiotic stress management in crop plants. Frontiers in Plant Science. 14. 1157678–1157678. 84 indexed citations
10.
Bano, Ambreen, Anmol Gupta, Manas Ranjan Prusty, & Manoj Kumar. (2023). Elicitation of Fruit Fungi Infection and Its Protective Response to Improve the Postharvest Quality of Fruits. SHILAP Revista de lepidopterología. 3(1). 231–255. 31 indexed citations
11.
Prusty, Manas Ranjan, et al.. (2023). Graph theory-based mathematical modeling and analysis to predict a football dream team. Knowledge and Information Systems. 65(4). 1523–1547.
12.
Prusty, Manas Ranjan, et al.. (2022). BERT Pre-processed Deep Learning Model for Sarcasm Detection. National Academy Science Letters. 45(2). 203–208. 9 indexed citations
13.
Prusty, Manas Ranjan, et al.. (2022). Oversampled Two-dimensional Deep Learning Model for Septenary Classification of Skin Lesion Disease. National Academy Science Letters. 46(2). 159–164. 2 indexed citations
14.
Gupta, Shaurya, et al.. (2022). Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. Applied Soft Computing. 119. 108610–108610. 30 indexed citations
15.
Balasundaram, A., et al.. (2022). A Comprehensive Study on the Impact of Artificial Intelligence in Autonomous Vehicles. 1–5. 2 indexed citations
16.
Prusty, Manas Ranjan, et al.. (2022). COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network. Journal of Applied Biomedicine. 43(1). 1–16. 36 indexed citations
17.
Prusty, Manas Ranjan, et al.. (2020). Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19. Intelligence-Based Medicine. 3-4. 100023–100023. 39 indexed citations
18.
Prusty, Manas Ranjan, et al.. (2017). Weighted-SMOTE: A modification to SMOTE for event classification in sodium cooled fast reactors. Progress in Nuclear Energy. 100. 355–364. 55 indexed citations
19.
20.
Hazra, Rupenangshu K., et al.. (2013). A simple, rapid and very efficient protocol for DNA isolation from mosquito species. Protocol Exchange. 6 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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