| Design and analysis of a large-scale COVID-19 tweets dataset R Lamsal Applied Intelligence 51 (5), 2790-2804, 2021 | 217 | 2021 |
| Coronavirus (covid-19) tweets dataset R Lamsal IEEE Dataport, 2020 | 162* | 2020 |
| Predicting outcome of Indian premier league (IPL) matches using machine learning R Lamsal, A Choudhary arXiv preprint arXiv:1809.09813, 2018 | 36* | 2018 |
| Twitter conversations predict the daily confirmed COVID-19 cases R Lamsal, A Harwood, MR Read Applied Soft Computing 129, 109603, 2022 | 34 | 2022 |
| Socially enhanced situation awareness from microblogs using artificial intelligence: A survey R Lamsal, A Harwood, MR Read ACM Computing Surveys 55 (4), 1-38, 2022 | 21 | 2022 |
| Classifying emergency tweets for disaster response R Lamsal, TVV Kumar International Journal of Disaster Response and Emergency Management 3 (1), 14-29, 2020 | 20 | 2020 |
| Artificial intelligence and early warning systems R Lamsal, TVV Kumar AI and Robotics in Disaster Studies, 13-32, 2020 | 18 | 2020 |
| Where did you tweet from? Inferring the origin locations of tweets based on contextual information R Lamsal, A Harwood, MR Read 2022 IEEE International Conference on Big Data (Big Data), 3935-3944, 2023 | 16 | 2023 |
| Coronavirus (COVID-19) geo-tagged tweets dataset R Lamsal IEEE Dataport, 2020 | 15* | 2020 |
| CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts R Lamsal, MR Read, S Karunasekera Knowledge-Based Systems 296, 111916, 2024 | 14 | 2024 |
| Twitter-based disaster response using recurrent nets R Lamsal, TVV Kumar Research Anthology on Managing Crisis and Risk Communications, 613-632, 2023 | 13 | 2023 |
| A large scale Nepali text corpus R Lamsal IEEE Dataport, 2020 | 13 | 2020 |
| Twitter-based disaster response using machine learning R Lamsal, TVV Kumar International Journal of Social Ecology and Sustainable Development 14 (1), 1-18, 2023 | 8 | 2023 |
| A Twitter narrative of the COVID-19 pandemic in Australia R Lamsal, MR Read, S Karunasekera Proceedings of the 20th International ISCRAM Conference, 353-370, 2023 | 7 | 2023 |
| Addressing the location A/B problem on Twitter: the next generation location inference research R Lamsal, A Harwood, MR Read Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location …, 2022 | 7 | 2022 |
| BillionCOV: An enriched billion-scale collection of COVID-19 tweets for efficient hydration R Lamsal, MR Read, S Karunasekera Data in Brief 48, 109229, 2023 | 6 | 2023 |
| Artificial Intelligence Based Early Warning System for Coastal Disasters R Lamsal, TV Vijay Kumar Development in Coastal Zones and Disaster Management, 305-320, 2020 | 6 | 2020 |
| 300-Dimensional Word Embeddings for Nepali Language R Lamsal IEEE Dataport, 2019 | 4 | 2019 |
| Tweets originating from India during COVID-19 lockdowns R Lamsal IEEE Dataport, 2020 | 3 | 2020 |
| Sentiment Analysis of English Tweets with BERTsent R Lamsal | 2 | 2021 |
Maria Rodriguez ReadSchool of Computing and Information Systems, The University of MelbourneEmail verificata su unimelb.edu.au
