Navin Cooray

1.5k total citations · 2 hit papers
8 papers, 1.0k citations indexed

About

Navin Cooray is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Navin Cooray has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Signal Processing. Recurrent topics in Navin Cooray's work include EEG and Brain-Computer Interfaces (7 papers), Sleep and Wakefulness Research (5 papers) and ECG Monitoring and Analysis (1 paper). Navin Cooray is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Sleep and Wakefulness Research (5 papers) and ECG Monitoring and Analysis (1 paper). Navin Cooray collaborates with scholars based in United Kingdom and United States. Navin Cooray's co-authors include Fernando Andreotti, Maarten De Vos, Huy Phan, Oliver Y. Chén, Christine Lo and Mkael Symmonds and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Navin Cooray

8 papers receiving 1.0k citations

Hit Papers

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Net... 2018 2026 2020 2023 2019 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Navin Cooray United Kingdom 7 836 312 309 207 143 8 1.0k
Kaare B. Mikkelsen Denmark 16 891 1.1× 229 0.7× 245 0.8× 116 0.6× 169 1.2× 36 1.1k
Chih‐En Kuo Taiwan 14 608 0.7× 155 0.5× 243 0.8× 174 0.8× 175 1.2× 33 833
Stanislas Chambon France 4 444 0.5× 140 0.4× 157 0.5× 104 0.5× 88 0.6× 7 574
Chih-Feng Chao Taiwan 9 353 0.4× 65 0.2× 214 0.7× 84 0.4× 118 0.8× 18 610
Sajad Mousavi United States 7 425 0.5× 101 0.3× 113 0.4× 67 0.3× 84 0.6× 17 587
Jiahao Fan China 16 438 0.5× 86 0.3× 94 0.3× 69 0.3× 360 2.5× 38 760
Khaldon Lweesy Jordan 8 412 0.5× 74 0.2× 104 0.3× 153 0.7× 145 1.0× 25 619
Mohammed Diykh Australia 16 561 0.7× 40 0.1× 95 0.3× 291 1.4× 120 0.8× 28 822
Yousef R. Tabar Denmark 9 791 0.9× 47 0.2× 93 0.3× 174 0.8× 112 0.8× 17 895
Shiyun Shao Singapore 9 344 0.4× 57 0.2× 140 0.5× 110 0.5× 44 0.3× 17 581

Countries citing papers authored by Navin Cooray

Since Specialization
Citations

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

Fields of papers citing papers by Navin Cooray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navin Cooray

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

All Works

8 of 8 papers shown
1.
Cooray, Navin, et al.. (2021). Proof of concept: Screening for REM sleep behaviour disorder with a minimal set of sensors. Clinical Neurophysiology. 132(4). 904–913. 11 indexed citations
2.
Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2019). SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(3). 400–410. 375 indexed citations breakdown →
3.
Cooray, Navin, et al.. (2019). Detection of REM sleep behaviour disorder by automated polysomnography analysis. Clinical Neurophysiology. 130(4). 505–514. 60 indexed citations
4.
Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2018). Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Transactions on Biomedical Engineering. 66(5). 1285–1296. 329 indexed citations breakdown →
5.
Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2018). DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. PubMed. 2018. 453–456. 66 indexed citations
6.
Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2018). Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. PubMed. 2018. 1452–1455. 99 indexed citations
7.
Cooray, Navin, et al.. (2018). Automating the Detection of REM Sleep Behaviour Disorder. PubMed. 2018. 1460–1463. 4 indexed citations
8.
Andreotti, Fernando, et al.. (2018). Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. PubMed. 2018. 171–174. 72 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.

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