Rabindra Lamsal
Impact in
- Communication top 10%
- Public Relations and Crisis Communication
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
Papers in
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- Sentiment Analysis and Opinion Mining 3
- Hate Speech and Cyberbullying Detection 2
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- Public Relations and Crisis Communication 4
- Co-authors
- Maria A. Rodriguez (6 shared papers)T. V. Vijay Kumar (3 shared papers)Aaron Harwood (3 shared papers)Shanika Karunasekera (3 shared papers)Ayesha Choudhary (1 shared paper)Chiranjibi Sitaula (1 shared paper)Satish Chand (1 shared paper)
- Journals
- Applied Intelligence (1 paper)ACM Computing Surveys (1 paper)Automation in Construction (1 paper)Knowledge-Based Systems (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Rabindra Lamsal
11 papers receiving 178 citations
Peers
Comparison fields: 5 of 40
- Communication 38
- Artificial Intelligence 115
- Transportation 18
- Sociology and Political Science 87
- Geography, Planning and Development 10
Countries citing papers authored by Rabindra Lamsal
This map shows the geographic impact of Rabindra Lamsal'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 Rabindra Lamsal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rabindra Lamsal more than expected).
Fields of papers citing papers by Rabindra Lamsal
This network shows the impact of papers produced by Rabindra Lamsal. 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 Rabindra Lamsal. The network helps show where Rabindra Lamsal may publish in the future.
Co-authors
The 7 scholars most cited alongside Rabindra Lamsal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2022 | 16 | |
| 3 | 2024 | 14 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2023 | 3 | |
| 10 | Predicting Outcome of Indian Premier League (IPL) Matches Using Classification Based Machine Learning Algorithm. | 2018 | 1 |
| 11 | 2020 | 1 | |
| 12 | 2026 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Rabindra Lamsal
Rabindra Lamsal is a scholar working on Artificial Intelligence, Communication, Sociology and Political Science, Statistical and Nonlinear Physics and Epidemiology, having authored 14 papers that have together received 182 indexed citations. Recurring topics across this work include Public Relations and Crisis Communication (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Data-Driven Disease Surveillance (3 papers), Misinformation and Its Impacts (3 papers), Complex Network Analysis Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Communication (38 citations), Artificial Intelligence (115 citations), Transportation (18 citations), Sociology and Political Science (87 citations) and Geography, Planning and Development (10 citations). Rabindra Lamsal has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Maria A. Rodriguez, T. V. Vijay Kumar, Aaron Harwood, Shanika Karunasekera, Ayesha Choudhary, Chiranjibi Sitaula and Satish Chand. Their work appears in journals such as Applied Intelligence, ACM Computing Surveys, Automation in Construction, Knowledge-Based Systems and Journal of Intelligent & Fuzzy 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.