Pratheepan Yogarajah

873 total citations
48 papers, 534 citations indexed

About

Pratheepan Yogarajah is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Pratheepan Yogarajah has authored 48 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Biomedical Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Pratheepan Yogarajah's work include Gait Recognition and Analysis (9 papers), Video Surveillance and Tracking Methods (8 papers) and Human Pose and Action Recognition (7 papers). Pratheepan Yogarajah is often cited by papers focused on Gait Recognition and Analysis (9 papers), Video Surveillance and Tracking Methods (8 papers) and Human Pose and Action Recognition (7 papers). Pratheepan Yogarajah collaborates with scholars based in United Kingdom, Sri Lanka and India. Pratheepan Yogarajah's co-authors include Joan Condell, Wei Tan, Chee Seng Chan, Priyanka Chaurasia, Girijesh Prasad, Velmathi Guruviah, Kevin Curran, Paul McKevitt, Abbas Cheddad and Dulani Meedeniya and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Pratheepan Yogarajah

45 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratheepan Yogarajah United Kingdom 12 260 148 104 82 49 48 534
Alaa Eleyan Türkiye 12 366 1.4× 88 0.6× 44 0.4× 36 0.4× 18 0.4× 56 595
Sang‐Woong Lee South Korea 10 212 0.8× 232 1.6× 55 0.5× 116 1.4× 16 0.3× 19 519
Cheng‐Kai Lu Malaysia 13 128 0.5× 93 0.6× 100 1.0× 223 2.7× 11 0.2× 64 502
Jiannan Zheng China 10 139 0.5× 77 0.5× 66 0.6× 87 1.1× 59 1.2× 24 533
Konstantinos Rapantzikos Greece 15 575 2.2× 136 0.9× 55 0.5× 119 1.5× 42 0.9× 34 782
Ali Arı Türkiye 9 169 0.7× 106 0.7× 29 0.3× 54 0.7× 20 0.4× 30 388
Allam Jaya Prakash India 15 160 0.6× 115 0.8× 157 1.5× 79 1.0× 82 1.7× 30 633
Puneet Gupta India 16 237 0.9× 92 0.6× 239 2.3× 68 0.8× 36 0.7× 47 690
Mehmed Özkan Türkiye 11 155 0.6× 73 0.5× 106 1.0× 76 0.9× 8 0.2× 52 510
Samabia Tehsin Pakistan 12 361 1.4× 247 1.7× 26 0.3× 148 1.8× 15 0.3× 33 590

Countries citing papers authored by Pratheepan Yogarajah

Since Specialization
Citations

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

Fields of papers citing papers by Pratheepan Yogarajah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratheepan Yogarajah

This figure shows the co-authorship network connecting the top 25 collaborators of Pratheepan Yogarajah. A scholar is included among the top collaborators of Pratheepan Yogarajah 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 Pratheepan Yogarajah. Pratheepan Yogarajah 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.
Meedeniya, Dulani, et al.. (2025). Glaucoma identification with retinal fundus images using deep learning: Systematic review. Informatics in Medicine Unlocked. 56. 101644–101644. 3 indexed citations
2.
Meedeniya, Dulani, et al.. (2024). Interpretable Cervical Cell Classification: A Comparative Analysis. Ulster University Research Portal (Ulster University). 7–12. 9 indexed citations
3.
Meedeniya, Dulani, et al.. (2024). Melanoma Skin Cancer Identification with Explainability Utilizing Mask Guided Technique. Electronics. 13(4). 680–680. 34 indexed citations
4.
Nath, Malaya Kumar, et al.. (2024). A Novel Approach for Meat Quality Assessment Using an Ensemble of Compact Convolutional Neural Networks. Applied Sciences. 14(14). 5979–5979. 5 indexed citations
5.
Bhandari, Mohan, Pratheepan Yogarajah, Muthu Subash Kavitha, & Joan Condell. (2023). Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP. Applied Sciences. 13(5). 3125–3125. 35 indexed citations
6.
Balasundaram, A., et al.. (2023). A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors. Diagnostics. 13(7). 1282–1282. 5 indexed citations
7.
Chaurasia, Priyanka, Sally McClean, Abbas Ali Mahdi, et al.. (2023). Automated lead toxicity prediction using computational modelling framework. Health Information Science and Systems. 11(1). 56–56. 2 indexed citations
8.
Suganya, G., et al.. (2023). Nucleus segmentation and classification using residual SE-UNet and feature concatenation approach incervical cytopathology cell images. Technology in Cancer Research & Treatment. 22. 2213876721–2213876721. 20 indexed citations
9.
Mahdi, Abbas Ali, Jamal Akhtar Ansari, Priyanka Chaurasia, et al.. (2022). A Study of Maternal and Umbilical Cord Blood Lead Levels in Pregnant Women. Indian Journal of Clinical Biochemistry. 38(1). 94–101. 7 indexed citations
10.
11.
Coleman, Sonya, et al.. (2021). Reducing-Over-Time Tree for Event-based Data. 1765–1772. 2 indexed citations
12.
Coleman, Sonya, et al.. (2021). Magnifying Spontaneous Facial Micro Expressions for Improved Recognition. Ulster University Research Portal (Ulster University). 7930–7936. 4 indexed citations
13.
Yogarajah, Pratheepan & Braj Bhushan. (2020). Deep Learning Approach to Automated Detection of Dyslexia-Dysgraphia. Ulster University Research Portal (Ulster University). 8 indexed citations
14.
Kerr, Dermot, et al.. (2018). Neuromorphic Event-based Space-Time Template Action Recognition. Ulster University Research Portal (Ulster University). 1 indexed citations
15.
Coleman, Sonya, et al.. (2017). Gabor and HOG approach to facial emotion recognition. Ulster University Research Portal (Ulster University). 1 indexed citations
16.
Chaurasia, Priyanka, Pratheepan Yogarajah, Joan Condell, et al.. (2016). Countering terrorism, protecting critical national infrastructure and infrastructure assets through the use of novel behavioral biometrics. Behavioral Sciences of Terrorism and Political Aggression. 8(3). 197–211. 1 indexed citations
17.
Yogarajah, Pratheepan, Joan Condell, & Girijesh Prasad. (2011). P RW GEI: Poisson random walk based gait recognition. Ulster University Research Portal (Ulster University). 662–667. 10 indexed citations
18.
Yogarajah, Pratheepan, Joan Condell, Kevin Curran, & Paul McKevitt. (2011). Video authentication: a self embedding steganography approach. Ulster University Research Portal (Ulster University). 174–189.
19.
Yogarajah, Pratheepan, Joan Condell, Kevin Curran, Paul McKevitt, & Abbas Cheddad. (2011). A dynamic threshold approach for skin tone detection in colour images. International Journal of Biometrics. 4(1). 38–38. 13 indexed citations
20.
Yogarajah, Pratheepan, Joan Condell, & Girijesh Prasad. (2009). The Use of Dynamic and Static Characteristics of Gait for Individual Identification. 111–116. 15 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

Breakdown of academic impact, for papers by Alaa Eleyan Breakdown of academic impact, for papers by Sang‐Woong Lee Breakdown of academic impact, for papers by Cheng‐Kai Lu Breakdown of academic impact, for papers by Jiannan Zheng Breakdown of academic impact, for papers by Konstantinos Rapantzikos Breakdown of academic impact, for papers by Ali Arı Breakdown of academic impact, for papers by Allam Jaya Prakash Breakdown of academic impact, for papers by Puneet Gupta Breakdown of academic impact, for papers by Mehmed Özkan Breakdown of academic impact, for papers by Samabia Tehsin
Rankless by CCL
2026