Dulani Meedeniya

72 papers and 762 indexed citations i.

About

Dulani Meedeniya is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dulani Meedeniya has authored 72 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 17 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dulani Meedeniya’s work include EEG and Brain-Computer Interfaces (7 papers), Music and Audio Processing (7 papers) and Software Engineering Research (6 papers). Dulani Meedeniya is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Music and Audio Processing (7 papers) and Software Engineering Research (6 papers). Dulani Meedeniya collaborates with scholars based in Sri Lanka, United Kingdom and United States. Dulani Meedeniya's co-authors include Sampath Jayarathna, Indika Perera, Charith Perera, Isabel de la Torre Díez, Mark Jaime, Gonçalo Marques, Gilbert Lim, Mobarakol Islam, Amal Shehan Perera and Hongliang Ren and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Dulani Meedeniya i

Fields of papers citing papers by Dulani Meedeniya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dulani Meedeniya

Since Specialization
Citations

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