Pramuditha Perera

54 total papers · 1.3k total citations
27 papers, 654 citations indexed

About

Pramuditha Perera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pramuditha Perera has authored 27 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Pramuditha Perera's work include Anomaly Detection Techniques and Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and User Authentication and Security Systems (5 papers). Pramuditha Perera is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and User Authentication and Security Systems (5 papers). Pramuditha Perera collaborates with scholars based in United States, Sri Lanka and Hong Kong. Pramuditha Perera's co-authors include Bing Xiang, Ramesh Nallapati, Vishal M. Patel, Curtis Wigington, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Vicente Ordóñez, Roshan Godaliyadda and Pong C. Yuen and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Pramuditha Perera

27 papers receiving 645 citations

Hit Papers

OCGAN: One-Class Novelty ... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pramuditha Perera 458 219 115 99 56 27 654
Barath Narayanan Narayanan 287 0.6× 171 0.8× 165 1.4× 182 1.8× 51 0.9× 33 736
Rpw Duin 330 0.7× 193 0.9× 45 0.4× 74 0.7× 19 0.3× 24 656
Zhuang Wang 296 0.6× 169 0.8× 103 0.9× 45 0.5× 21 0.4× 40 577
Siyamalan Manivannan 216 0.5× 192 0.9× 111 1.0× 46 0.5× 53 0.9× 38 579
Shahroz Tariq 279 0.6× 326 1.5× 145 1.3× 132 1.3× 15 0.3× 30 656
Ritam Guha 403 0.9× 165 0.8× 46 0.4× 36 0.4× 19 0.3× 24 590
Ghada Khoriba 380 0.8× 144 0.7× 68 0.6× 30 0.3× 21 0.4× 41 600
Chengliang Liu 473 1.0× 406 1.9× 86 0.7× 42 0.4× 17 0.3× 47 782
Qi Fan 280 0.6× 430 2.0× 77 0.7× 75 0.8× 53 0.9× 26 679
Yan Cui 147 0.3× 316 1.4× 66 0.6× 43 0.4× 71 1.3× 32 603

Countries citing papers authored by Pramuditha Perera

Since Specialization
Citations

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

Fields of papers citing papers by Pramuditha Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramuditha Perera

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

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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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