Amal Shehan Perera

24 papers and 56 indexed citations i.

About

Amal Shehan Perera is a scholar working on Artificial Intelligence, Building and Construction and Computer Science Applications. According to data from OpenAlex, Amal Shehan Perera has authored 24 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Building and Construction and 4 papers in Computer Science Applications. Recurrent topics in Amal Shehan Perera’s work include Online Learning and Analytics (4 papers), Advanced Text Analysis Techniques (4 papers) and Topic Modeling (3 papers). Amal Shehan Perera is often cited by papers focused on Online Learning and Analytics (4 papers), Advanced Text Analysis Techniques (4 papers) and Topic Modeling (3 papers). Amal Shehan Perera collaborates with scholars based in Sri Lanka, United States and Lithuania. Amal Shehan Perera's co-authors include Dulani Meedeniya, Anne Denton, Nisansa de Silva, Chandi Witharana, Ashish Kr. Luhach, Rashmika Nawaratne, A. K. Liljedahl, Daswin De Silva, William Perrizo and Damminda Alahakoon and has published in prestigious journals such as IEEE Access, International Journal of Remote Sensing and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Amal Shehan Perera i

Fields of papers citing papers by Amal Shehan Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amal Shehan Perera

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025