Rashindrie Perera

15 total papers · 445 total citations
6 papers, 35 citations indexed

About

Rashindrie Perera is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rashindrie Perera has authored 6 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Rashindrie Perera's work include AI in cancer detection (2 papers), Web Data Mining and Analysis (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Rashindrie Perera is often cited by papers focused on AI in cancer detection (2 papers), Web Data Mining and Analysis (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Rashindrie Perera collaborates with scholars based in Australia, Belgium and Singapore. Rashindrie Perera's co-authors include Sherene Loi, Richard Lupat, Jason Li, Saman Halgamuge, Terence Sim, Piers Blombery, Sachith Seneviratne, Roberto Salgado, Kenneth Doig and Stephen B. Fox and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and BioData Mining.

In The Last Decade

Rashindrie Perera

5 papers receiving 33 citations

Author Peers

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

Author						Papers	Cites
Rashindrie Perera	20	11	11	4	4	6	35
Surbhi Bhatnagar	10 0.5×	8 0.7×	5 0.5×	4 1.0×	7 1.8×	5	35
Hagar Hussein	14 0.7×	7 0.6×	9 0.8×	2 0.5×		6	34
R. Pezoa	26 1.3×	16 1.5×	12 1.1×	7 1.8×	1 0.3×	7	62
Imane Nedjar	9 0.5×	6 0.5×	8 0.7×	8 2.0×	3 0.8×	8	32
M. Balasubramani	11 0.6×	5 0.5×	3 0.3×	3 0.8×	2 0.5×	8	42
Jaclyn Smith	16 0.8×	7 0.6×	4 0.4×	3 0.8×		6	33
Luke Ternes	14 0.7×	18 1.6×	8 0.7×	5 1.3×		5	39
Lavender Yao Jiang	13 0.7×	3 0.3×	7 0.6×	3 0.8×	2 0.5×	5	38
Gabriel Cerono	31 1.6×	22 2.0×	8 0.7×	2 0.5×		8	65
Dongang Wang	21 1.1×	4 0.4×	10 0.9×	13 3.3×	9 2.3×	8	46

Countries citing papers authored by Rashindrie Perera

Since Specialization

Citations

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

Fields of papers citing papers by Rashindrie Perera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashindrie Perera

This figure shows the co-authorship network connecting the top 25 collaborators of Rashindrie Perera. A scholar is included among the top collaborators of Rashindrie 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 Rashindrie Perera. Rashindrie 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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