Thushari Silva
Impact in
- Information Systems top 5%
- Expert finding and Q&A systems
- Spam and Phishing Detection
- Recommender Systems and Techniques
- Computer Science Applications top 10%
Papers in
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- Expert finding and Q&A systems 10
- Recommender Systems and Techniques 8
- Spam and Phishing Detection 4
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- Advanced Text Analysis Techniques 6
- Topic Modeling 6
- Semantic Web and Ontologies 4
- Co-authors
- Asoka S. Karunananda (6 shared papers)Jian Ma (9 shared papers)Vilas Wuwongse (2 shared papers)Hongbing Jiang (3 shared papers)Huaping Chen (2 shared papers)Jianshan Sun (6 shared papers)Xiaoyan Liu (3 shared papers)Zhiling Guo (1 shared paper)
In The Last Decade
Thushari Silva
28 papers receiving 333 citations
Peers
Comparison fields: 5 of 70
- Information Systems 167
- Computer Science Applications 25
- Artificial Intelligence 144
- Industrial and Manufacturing Engineering 39
- Information Systems and Management 15
Countries citing papers authored by Thushari Silva
This map shows the geographic impact of Thushari Silva'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 Thushari Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thushari Silva more than expected).
Fields of papers citing papers by Thushari Silva
This network shows the impact of papers produced by Thushari Silva. 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 Thushari Silva. The network helps show where Thushari Silva may publish in the future.
Co-authors
The 19 scholars most cited alongside Thushari Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2019 | 45 | |
| 3 | 2022 | 29 | |
| 4 | 2013 | 28 | |
| 5 | 2014 | 22 | |
| 6 | 2012 | 21 | |
| 7 | 2014 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2011 | 8 | |
| 13 | 2013 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2017 | 4 | |
| 17 | 2021 | 4 | |
| 18 | A WEIGHTED TOPIC MODEL ENHANCED APPROACH FOR COMPLEMENTARY COLLABORATOR RECOMMENDATION | 2014 | 4 |
| 19 | 2021 | 2 | |
| 20 | 2019 | 2 |
About Thushari Silva
Thushari Silva is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications, having authored 36 papers that have together received 344 indexed citations. Recurring topics across this work include Expert finding and Q&A systems (10 papers), Recommender Systems and Techniques (8 papers), Advanced Text Analysis Techniques (6 papers), Topic Modeling (6 papers), Complex Network Analysis Techniques (5 papers), Spam and Phishing Detection (4 papers), Semantic Web and Ontologies (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Information Systems (167 citations), Computer Science Applications (25 citations), Artificial Intelligence (144 citations), Industrial and Manufacturing Engineering (39 citations) and Information Systems and Management (15 citations). Thushari Silva has collaborated with scholars based in Sri Lanka, China and Hong Kong. Frequent co-authors include Asoka S. Karunananda, Jian Ma, Vilas Wuwongse, Hongbing Jiang, Huaping Chen, Jianshan Sun, Xiaoyan Liu, Zhiling Guo, Zhongsheng Hua and Yang Chen. Their work appears in journals such as Journal of the Association for Information Science and Technology, Scientometrics, Journal of Information Science, Journal of Ambient Intelligence and Humanized Computing and ACM Transactions on Management Information Systems.
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.