| E-petition popularity: Do linguistic and semantic factors matter? L Hagen, TM Harrison, Ö Uzuner, W May, T Fake, S Katragadda Government Information Quarterly 33 (4), 783-795, 2016 | 43 | 2016 |
| Framework for real-time event detection using multiple social media sources S Katragadda, R Benton, V Raghavan | 25 | 2017 |
| Detection of event onset using twitter S Katragadda, S Virani, R Benton, V Raghavan 2016 international joint conference on neural networks (IJCNN), 1539-1546, 2016 | 25 | 2016 |
| Detecting adverse drug effects using link classification on twitter data S Katragadda, H Karnati, M Pusala, V Raghavan, R Benton 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 18 | 2015 |
| Detecting low-rate replay-based injection attacks on in-vehicle networks S Katragadda, PJ Darby, A Roche, R Gottumukkala IEEE Access 8, 54979-54993, 2020 | 16 | 2020 |
| A concept-drift based predictive-analytics framework: Application for real-time solar irradiance forecasting J Wojtkiewicz, S Katragadda, R Gottumukkala 2018 IEEE International Conference on Big Data (Big Data), 5462-5464, 2018 | 11 | 2018 |
| Direct normal irradiance forecasting using multivariate gated recurrent units M Hosseini, S Katragadda, J Wojtkiewicz, R Gottumukkala, A Maida, ... Energies 13 (15), 3914, 2020 | 8 | 2020 |
| An unsupervised approach to identify location based on the content of user’s tweet history S Katragadda, M Jin, V Raghavan International Conference on Active Media Technology, 311-323, 2014 | 8 | 2014 |
| Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association R Gottumukkala, S Katragadda, RT Bhupatiraju, AM Kamal, V Raghavan, ... BMC Public Health 21 (1), 1-14, 2021 | 5 | 2021 |
| Sub-event detection from tweets S Katragadda, R Benton, V Raghavan 2017 International Joint Conference on Neural Networks (IJCNN), 2128-2135, 2017 | 5 | 2017 |
| Distributed real time link prediction on graph streams S Katragadda, R Gottumukkala, M Pusala, V Raghavan, J Wojtkiewicz 2018 IEEE International Conference on Big Data (Big Data), 2912-2917, 2018 | 4 | 2018 |
| Spatial hotspot detection using polygon propagation S Katragadda, J Chen, S Abbady International Journal of Digital Earth, 2018 | 4 | 2018 |
| VAStream: A visual analytics system for fast data streams S Katragadda, R Gottumukkala, S Venna, N Lipari, S Gaikwad, M Pusala, ... Proceedings of the Practice and Experience in Advanced Research Computing on …, 2019 | 3 | 2019 |
| A multimodal sensor dataset for continuous stress detection of nurses in a hospital S Hosseini, R Gottumukkala, S Katragadda, RT Bhupatiraju, Z Ashkar, ... Scientific Data 9 (1), 1-13, 2022 | 2 | 2022 |
| Association mining based approach to analyze COVID-19 response and case growth in the United States S Katragadda, R Gottumukkala, RT Bhupatiraju, AM Kamal, V Raghavan, ... Scientific Reports 11 (1), 1-12, 2021 | 1 | 2021 |
| Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning S Katragadda, RT Bhupatiraju, V Raghavan, Z Ashkar, R Gottumukkala Scientific Reports 12 (1), 1-12, 2022 | | 2022 |
| Correction to: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association R Gottumukkala, S Katragadda, RT Bhupatiraju, AM Kamal, V Raghavan, ... BMC Public Health 21 (1), 1-1, 2021 | | 2021 |
| River Stage Forecasting using Enhanced Partial Correlation Graph SR Venna, S Katragadda, V Raghavan, R Gottumukkala Water Resources Management 35 (12), 4111-4126, 2021 | | 2021 |
