V. B. Surya Prasath

5.2k total citations · 2 hit papers
172 papers, 3.4k citations indexed

About

V. B. Surya Prasath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V. B. Surya Prasath has authored 172 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V. B. Surya Prasath's work include Image and Signal Denoising Methods (51 papers), Medical Image Segmentation Techniques (37 papers) and Advanced Image Processing Techniques (32 papers). V. B. Surya Prasath is often cited by papers focused on Image and Signal Denoising Methods (51 papers), Medical Image Segmentation Techniques (37 papers) and Advanced Image Processing Techniques (32 papers). V. B. Surya Prasath collaborates with scholars based in United States, Vietnam and India. V. B. Surya Prasath's co-authors include Dang N. H. Thanh, Ahmad B. Hassanat, P. Kalavathi, Lê Minh Hiếu, Esra’a Alkafaween, Khalid Almohammadi, Awni Hammouri, Ahmad S. Tarawneh, Mahmoud B. Alhasanat and Nguyễn Ngọc Hiền and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

V. B. Surya Prasath

163 papers receiving 3.2k 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.

Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach

2019 427 citations Ahmad B. Hassanat, Khalid Almohammadi et al. Information profile →
Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review

2019 391 citations Ahmad B. Hassanat, V. B. Surya Prasath et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. B. Surya Prasath United States	27	1.3k	783	473	433	244	172	3.4k
Adel Elmaghraby United States	28	863 0.7×	1.2k 1.5×	780 1.6×	312 0.7×	308 1.3×	259	3.6k
Fayadh Alenezi Saudi Arabia	30	915 0.7×	723 0.9×	323 0.7×	217 0.5×	200 0.8×	123	2.7k
Amira S. Ashour Egypt	36	1.1k 0.8×	1.1k 1.4×	515 1.1×	250 0.6×	563 2.3×	165	4.1k
Hui Zhang China	33	1.6k 1.2×	790 1.0×	370 0.8×	457 1.1×	303 1.2×	376	4.6k
Hongmin Cai China	27	788 0.6×	912 1.2×	906 1.9×	162 0.4×	223 0.9×	200	3.0k
Tuan D. Pham Australia	33	1.2k 0.9×	1.2k 1.5×	950 2.0×	255 0.6×	303 1.2×	295	4.2k
M. Sohel Rahman Bangladesh	24	892 0.7×	1.1k 1.4×	632 1.3×	142 0.3×	375 1.5×	196	3.7k
Md Zahangir Alom United States	16	1.1k 0.9×	1.3k 1.7×	950 2.0×	143 0.3×	252 1.0×	63	3.3k
Guoqiang Han China	37	2.0k 1.5×	1.4k 1.8×	196 0.4×	298 0.7×	148 0.6×	172	3.9k

Countries citing papers authored by V. B. Surya Prasath

Since Specialization

Citations

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

Fields of papers citing papers by V. B. Surya Prasath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. B. Surya Prasath. 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 V. B. Surya Prasath. The network helps show where V. B. Surya Prasath may publish in the future.

Co-authorship network of co-authors of V. B. Surya Prasath

This figure shows the co-authorship network connecting the top 25 collaborators of V. B. Surya Prasath. A scholar is included among the top collaborators of V. B. Surya Prasath 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 V. B. Surya Prasath. V. B. Surya Prasath 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

Aronow, Bruce J., et al.. (2024). Deep learning-based multimodal spatial transcriptomics analysis for cancer. Advances in cancer research. 163. 1–38. 10 indexed citations

Liu, Xiaoxuan, et al.. (2024). Artificial intelligence image-based prediction models in IBD exhibit high risk of bias: A systematic review. Computers in Biology and Medicine. 171. 108093–108093. 9 indexed citations

Salamat, Nadeem, et al.. (2024). Color image restoration by filtering methods: a review. Soft Computing. 28(13-14). 7755–7782. 2 indexed citations

Qamar, Ali Mustafa, et al.. (2023). Global Trends and Collaborations in Dengue Virus Research: A Scientometric and Bibliometric Overview (1872–2019). International Journal of Design & Nature and Ecodynamics. 18(6). 1539–1548. 2 indexed citations

Kumar, V. Vinoth, et al.. (2023). Trustworthy Artificial Intelligence and Automatic Morse Code Based Communication Recognition with Eye Tracking. Journal of Mobile Multimedia.

Kalavathi, P., et al.. (2022). Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD). Journal of Digital Imaging. 36(1). 259–275. 4 indexed citations

Bharati, Subrato, Prajoy Podder, M. Rubaiyat Hossain Mondal, & V. B. Surya Prasath. (2021). CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images. International Journal of Hybrid Intelligent Systems. 17(1-2). 71–85. 59 indexed citations

Li, Guangyuan, et al.. (2021). DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Briefings in Bioinformatics. 22(6). 87 indexed citations

Thanh, Dang N. H., et al.. (2021). Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation. Computer Optics. 45(1). 16 indexed citations

10.

Missen, Malik Muhammad Saad, Mickaël Coustaty, Gyu Sang Choi, et al.. (2020). Correction: OpinionML—Opinion Markup Language for Sentiment Representation. Symmetry 2019, 11, 545. Symmetry. 12(2). 187–187. 1 indexed citations

11.

Thanh, Dang N. H., et al.. (2020). A two-stage filter for high density salt and pepper denoising. Multimedia Tools and Applications. 79(29-30). 21013–21035. 27 indexed citations

12.

Kim, Hyunsung, et al.. (2020). Location Verification Technique for Cluster Based Geographical Routing in MANET. Informatica. 113–130. 4 indexed citations

13.

Thanh, Dang N. H., et al.. (2020). An adaptive method for image restoration based on high-order total variation and inverse gradient. Signal Image and Video Processing. 14(6). 1189–1197. 47 indexed citations

14.

Missen, Malik Muhammad Saad, et al.. (2019). Systematic review and usability evaluation of writing mobile apps for children. New Review of Hypermedia and Multimedia. 25(3). 137–160. 12 indexed citations

15.

Thanh, Dang N. H., et al.. (2019). BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS. SHILAP Revista de lepidopterología. XLII-2/W12. 211–218. 32 indexed citations

16.

Missen, Malik Muhammad Saad, Mickaël Coustaty, Gyu Sang Choi, et al.. (2019). OpinionML—Opinion Markup Language for Sentiment Representation. Symmetry. 11(4). 545–545. 6 indexed citations

17.

Hassanat, Ahmad B., et al.. (2019). Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach. Information. 10(12). 390–390. 427 indexed citations breakdown →

18.

Chen, Li & V. B. Surya Prasath. (2017). Measuring Bone Density Connectivity Using Dual Energy X-Ray Absorptiometry Images. International Journal of Fuzzy Logic and Intelligent Systems. 17(4). 235–244. 7 indexed citations

19.

Prasath, V. B. Surya. (2015). On Fuzzification of Color Spaces for Medical Decision Support in Video Capsule Endoscopy.. 147–151. 5 indexed citations

20.

Prasath, V. B. Surya, et al.. (2010). Multichannel image restoration using combined channelinformation and robust M-estimator approach. 15. 9–22. 2 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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