Shan Suthaharan

4.1k total citations · 1 hit paper
79 papers, 1.5k citations indexed

About

Shan Suthaharan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shan Suthaharan has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 20 papers in Computer Networks and Communications. Recurrent topics in Shan Suthaharan's work include Image and Video Quality Assessment (12 papers), Chaos-based Image/Signal Encryption (11 papers) and Advanced Image Processing Techniques (10 papers). Shan Suthaharan is often cited by papers focused on Image and Video Quality Assessment (12 papers), Chaos-based Image/Signal Encryption (11 papers) and Advanced Image Processing Techniques (10 papers). Shan Suthaharan collaborates with scholars based in United States, Australia and South Korea. Shan Suthaharan's co-authors include Firoozeh Karimi, Selima Sultana, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, Arumugam Nallanathan, B. Kannan, K.R. Rao, Guoyin Li and V. Jeyakumar and has published in prestigious journals such as Scientific Reports, Investigative Ophthalmology & Visual Science and Pattern Recognition Letters.

In The Last Decade

Shan Suthaharan

67 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Machine Learning Models and Algorithms for Big Data Classification

2015 470 citations Shan Suthaharan profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Suthaharan United States	14	438	370	302	136	128	79	1.5k
D.L. Vilariño Spain	13	546 1.2×	283 0.8×	170 0.6×	97 0.7×	163 1.3×	59	1.6k
José C. Cabaleiro Spain	11	579 1.3×	214 0.6×	264 0.9×	115 0.8×	124 1.0×	81	1.7k
Birmohan Singh India	17	591 1.3×	300 0.8×	134 0.4×	146 1.1×	161 1.3×	62	1.9k
Edin Muharemagic United States	5	646 1.5×	349 0.9×	192 0.6×	160 1.2×	185 1.4×	8	1.8k
Flavio Villanustre United States	9	711 1.6×	296 0.8×	224 0.7×	159 1.2×	192 1.5×	20	2.0k
Yun Li China	17	659 1.5×	326 0.9×	179 0.6×	166 1.2×	146 1.1×	106	1.4k
Asdrúbal López‐Chau Mexico	12	639 1.5×	374 1.0×	137 0.5×	109 0.8×	198 1.5×	61	2.1k
Sudan Jha India	22	329 0.8×	224 0.6×	308 1.0×	115 0.8×	257 2.0×	76	1.6k
Ji Feng China	10	806 1.8×	375 1.0×	123 0.4×	145 1.1×	128 1.0×	22	1.6k
Yifan Shi China	12	771 1.8×	393 1.1×	155 0.5×	136 1.0×	171 1.3×	37	1.8k

Countries citing papers authored by Shan Suthaharan

Since Specialization

Citations

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

Fields of papers citing papers by Shan Suthaharan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Suthaharan

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Suthaharan. A scholar is included among the top collaborators of Shan Suthaharan 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 Shan Suthaharan. Shan Suthaharan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vupparaboina, Kiran Kumar, Shan Suthaharan, Soumya Jana, et al.. (2021). Automated choroid layer segmentation based on wide-field SS-OCT images using deep residual encoder-decoder architecture. Investigative Ophthalmology & Visual Science. 62(8). 2162–2162. 10 indexed citations

Suthaharan, Shan, Gunjan Chhablani, Kiran Kumar Vupparaboina, et al.. (2021). An automated choroid segmentation approach using transfer learning and encoder-decoder networks. Investigative Ophthalmology & Visual Science. 62(8). 2158–2158. 1 indexed citations

Vupparaboina, Kiran Kumar, et al.. (2021). En-face analysis of short posterior ciliary arteries crossing the sclera to choroid using wide-field swept-source optical coherence tomography. Scientific Reports. 11(1). 8732–8732. 10 indexed citations

Suthaharan, Shan, et al.. (2020). Multimodal ophthalmic image registration using Hessian feature spaces. Investigative Ophthalmology & Visual Science. 61(7). 1149–1149. 1 indexed citations

Suthaharan, Shan, et al.. (2020). Asymptotically Stable Privacy Protection Technique for fMRI Shared Data over Distributed Computer Networks. 1–8. 1 indexed citations

Suthaharan, Shan, et al.. (2020). Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space. Signal Processing. 177. 107733–107733. 10 indexed citations

Karimi, Firoozeh, et al.. (2019). Urban expansion modeling using an enhanced decision tree algorithm. GeoInformatica. 25(4). 715–731. 24 indexed citations

Suthaharan, Shan. (2016). A correlation-based subspace analysis for data confidentiality and classification as utility in CPS. 426–431. 4 indexed citations

Suthaharan, Shan. (2014). FLaSKU - a classroom experience with teaching computer networking. 15–20. 1 indexed citations

10.

Suthaharan, Shan, et al.. (2010). Labelled data collection for anomaly detection in wireless sensor networks. 269–274. 106 indexed citations

11.

Suthaharan, Shan, et al.. (2008). Measuring Available Bandwidth: pathChirp's Chirp Train Structure Remodeled. 379–384. 3 indexed citations

12.

Suthaharan, Shan. (2004). Markov model based congestion control for TCP. Annual Simulation Symposium. 285–292. 4 indexed citations

13.

Suthaharan, Shan, et al.. (2004). An entropy masking model for multimedia content watermarking. 6 pp.–6 pp.. 18 indexed citations

14.

Zhang, Zhongwei, Zhi Li, & Shan Suthaharan. (2002). Fuzzy Logic Strategy of Prognosticating TCP's Timeout ad Retransmission.. 310–313.

15.

Suthaharan, Shan, Hong Ren Wu, & Michael Yuen. (2002). A new post-filtering technique for block-based transform coded images. 2. 702–705. 2 indexed citations

16.

Suthaharan, Shan, et al.. (2002). Transform domain technique: robust watermarking for digital images. 407–412. 2 indexed citations

17.

Suthaharan, Shan & Hong Ren Wu. (1998). A New Linear Post-Filtering Technique to Reduce Transform Coding Block-Edge Artifact at Low Bit Rates. 120–128.

18.

Suthaharan, Shan, Hong Ren Wu, & K.R. Rao. (1998). A New Edge Enhancement Technique for Image/ Video Segmentation and Compression. 748–751. 1 indexed citations

19.

Suthaharan, Shan & Zhongwei Zhang. (1997). SNR Optimization Using Genetic Algorithm.. International Conference on Image Processing. 295–297. 1 indexed citations

20.

Suthaharan, Shan & Hong Ren Wu. (1996). Adaptive. Neighbourhood Image Filtering for Mpeg-1 Coded Images. 1. 166–167.

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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