Gayashan Amarasinghe
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Strategy and Management top 10%
- Building and Construction top 10%
- Co-authors
- Rebecca YangRon WakefieldSainan LyuXun YiXuechao YangSajani JayasuriyaShiping ChenFengling Han
- Topics
- Online Learning and Analytics (3 papers)Software System Performance and Reliability (3 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBuilding and EnvironmentAutomation in Construction
- Partner nations
- Sri LankaAustraliaSwitzerland
In The Last Decade
Gayashan Amarasinghe
10 papers receiving 389 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Information Systems 246
- Computer Networks and Communications 83
- Artificial Intelligence 77
- Strategy and Management 68
- Building and Construction 68
Countries citing papers authored by Gayashan Amarasinghe
This map shows the geographic impact of Gayashan Amarasinghe'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 Gayashan Amarasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gayashan Amarasinghe more than expected).
Fields of papers citing papers by Gayashan Amarasinghe
This network shows the impact of papers produced by Gayashan Amarasinghe. 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 Gayashan Amarasinghe. The network helps show where Gayashan Amarasinghe may publish in the future.
Co-authorship network of co-authors of Gayashan Amarasinghe
This figure shows the co-authorship network connecting the top 25 collaborators of Gayashan Amarasinghe. A scholar is included among the top collaborators of Gayashan Amarasinghe 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 Gayashan Amarasinghe. Gayashan Amarasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Public and private blockchain in construction business process and information integrationbreakdown → | 334 |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 21 |
About Gayashan Amarasinghe
Gayashan Amarasinghe is a scholar working on Computer Science Applications, Software and Computer Networks and Communications, having authored 11 papers that have together received 406 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), Software System Performance and Reliability (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Information Systems (246 citations), Management Information Systems (54 citations) and Building and Construction (68 citations). Gayashan Amarasinghe has collaborated with scholars based in Sri Lanka, Australia and Switzerland. Frequent co-authors include Rebecca Yang, Ron Wakefield, Sainan Lyu, Xun Yi, Xuechao Yang, Sajani Jayasuriya, Shiping Chen, Fengling Han, Tharushi Samarasinghalage and Saman Amarasinghe. Their work appears in journals such as SHILAP Revista de lepidopterología, Building and Environment and Automation in Construction.
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.