Pramuditha Perera

1.3k citations
27 papers · 659 · 1 hit paper · h-index 10

Impact in

Papers in

    • Video Surveillance and Tracking Methods 4
    • Multimodal Machine Learning Applications 3
    • Anomaly Detection Techniques and Applications 9
    • Domain Adaptation and Few-Shot Learning 5
    • Natural Language Processing Techniques 3
    • Adversarial Robustness in Machine Learning 3

Pramuditha Perera

27 papers receiving 650 citations

Pramuditha Perera's Hit Papers

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations 2019 · 331 citations
3310+2+4Years since publication100200300

Peers

Pramuditha Perera
Comparison fields: 5 of 85
  • Artificial Intelligence 461
  • Computer Vision and Pattern Recognition 222
  • Signal Processing 101
  • Industrial and Manufacturing Engineering 56
  • Computer Networks and Communications 115
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Citations per year

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-authors

The 25 scholars most cited alongside Pramuditha Perera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pramuditha Perera Line = papers co-authored together Pramuditha Perera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
Hit paper breakdown →
2019331
2 2020119
3 201832
4 202222
5 202221
6 201718
7 201615
8 201512
9 201512
10 20249
11 20148
12 20176
13 20236
14 20235
15 20145
16 20165
17 20185
18 20234
19 20174
20
Federated Face Anti-spoofing.
20203

About Pramuditha Perera

Pramuditha Perera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Electrical and Electronic Engineering, having authored 27 papers that have together received 659 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers), User Authentication and Security Systems (5 papers), Biometric Identification and Security (4 papers), Video Surveillance and Tracking Methods (4 papers), Natural Language Processing Techniques (3 papers), Multimodal Machine Learning Applications (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Artificial Intelligence (461 citations), Computer Vision and Pattern Recognition (222 citations), Signal Processing (101 citations), Industrial and Manufacturing Engineering (56 citations) and Computer Networks and Communications (115 citations). Pramuditha Perera has collaborated with scholars based in United States, Sri Lanka and Hong Kong. Frequent co-authors include Bing Xiang, Ramesh Nallapati, Vishal M. Patel, Vlad I. Morariu, Vicente Ordóñez, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Roshan Godaliyadda and Pong C. Yuen. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Computer Vision, AIMS energy and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

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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