Pramuditha Perera

21 papers and 779 indexed citations i.

About

Pramuditha Perera is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pramuditha Perera has authored 21 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Pramuditha Perera’s work include Anomaly Detection Techniques and Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Biometric Identification and Security (5 papers). Pramuditha Perera is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Biometric Identification and Security (5 papers). Pramuditha Perera collaborates with scholars based in United States, Hong Kong and United Kingdom. Pramuditha Perera's co-authors include Vishal M. Patel, Bing Xiang, Ramesh Nallapati, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Curtis Wigington, Vicente Ordóñez, Rui Shao and Pong C. Yuen and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Pramuditha Perera i

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.

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).

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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