Asanka G. Perera

53 total papers · 1.5k total citations
37 papers, 464 citations indexed

About

Asanka G. Perera is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Asanka G. Perera has authored 37 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Asanka G. Perera's work include Non-Invasive Vital Sign Monitoring (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (4 papers). Asanka G. Perera is often cited by papers focused on Non-Invasive Vital Sign Monitoring (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (4 papers). Asanka G. Perera collaborates with scholars based in Australia, Iraq and Sri Lanka. Asanka G. Perera's co-authors include Javaan Chahl, Ali Al‐Naji, Yee Wei Law, Saleem Latteef Mohammed, Kim Gibson, Matthew Garratt, Sreenatha G. Anavatti, Ravinesh C. Deo, Vu Phi Tran and Kathryn Kasmarik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Asanka G. Perera

30 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Asanka G. Perera 189 147 101 65 62 37 464
Robert Mandelbaum 170 0.9× 69 0.5× 152 1.5× 32 0.5× 70 1.1× 26 445
Jennifer M. Riley 45 0.2× 25 0.2× 72 0.7× 58 0.9× 8 0.1× 32 542
J. Drnovšek 13 0.1× 233 1.6× 83 0.8× 24 0.4× 137 2.2× 55 448
Hisham ElMoaqet 22 0.1× 88 0.6× 13 0.1× 56 0.9× 20 0.3× 44 445
Yanjie Li 193 1.0× 55 0.4× 91 0.9× 108 1.7× 41 0.7× 62 540
Xishi Huang 156 0.8× 92 0.6× 36 0.4× 62 1.0× 47 0.8× 39 473
Wen-Jiin Tsai 356 1.9× 103 0.7× 18 0.2× 47 0.7× 39 0.6× 45 487
Massimiliano Donati 90 0.5× 122 0.8× 66 0.7× 36 0.6× 84 1.4× 41 448
Konstantinos Banitsas 99 0.5× 199 1.4× 7 0.1× 17 0.3× 81 1.3× 39 461
James Pope 106 0.6× 211 1.4× 18 0.2× 48 0.7× 52 0.8× 39 492

Countries citing papers authored by Asanka G. Perera

Since Specialization
Citations

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

Fields of papers citing papers by Asanka G. Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asanka G. Perera

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

All Works

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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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