| Towards a stratified learning approach to predict future citation counts T Chakraborty, S Kumar, P Goyal, N Ganguly, A Mukherjee IEEE/ACM Joint Conference on Digital Libraries, 351-360, 2014 | 117 | 2014 |
| On the categorization of scientific citation profiles in computer science T Chakraborty, S Kumar, P Goyal, N Ganguly, A Mukherjee Communications of the ACM 58 (9), 82-90, 2015 | 45 | 2015 |
| GenPerm: A unified method for detecting non-overlapping and overlapping communities T Chakraborty, S Kumar, N Ganguly, A Mukherjee, S Bhowmick IEEE Transactions on knowledge and data engineering 28 (8), 2101-2114, 2016 | 39 | 2016 |
| The role of citation context in predicting long-term citation profiles: An experimental study based on a massive bibliographic text dataset M Singh, V Patidar, S Kumar, T Chakraborty, A Mukherjee, P Goyal Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 30 | 2015 |
| Automatic classification and analysis of interdisciplinary fields in computer sciences T Chakraborty, S Kumar, MD Reddy, S Kumar, N Ganguly, A Mukherjee 2013 International Conference on Social Computing, 180-187, 2013 | 17 | 2013 |
| FITNet: Identifying Fashion Influencers on Twitter J Han, Q Chen, X Jin, W Xu, W Yang, S Kumar, L Zhao, H Sundaram, ... Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-20, 2021 | 15 | 2021 |
| Decision tree Thompson sampling for mining hidden populations through attributed search S Kumar, H Gao, C Wang, KCC Chang, H Sundaram Social Network Analysis and Mining 12 (1), 1-21, 2022 | 7 | 2022 |
| Attribute-Guided Network Sampling Mechanisms S Kumar, H Sundaram ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-24, 2021 | 7 | 2021 |
| Hierarchical multi-armed bandits for discovering hidden populations S Kumar, H Gao, C Wang, KCC Chang, H Sundaram Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 7 | 2019 |
| Centrality and community scoring functions in incomplete networks: their sensitivity, robustness, and reliability S Sarkar, S Kumar, S Bhowmick, A Mukherjee Machine learning techniques for online social networks, 135-154, 2018 | 3 | 2018 |
| Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions S Sarkar, S Kumar, S Bhowmick, A Mukherjee 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 3 | 2016 |
| Growing attributed networks through local processes H Shah, S Kuma, H Sundaram The World Wide Web Conference, 3208-3214, 2019 | 2 | 2019 |
| Task-driven sampling of attributed networks S Kumar, H Sundaram arXiv preprint arXiv:1611.00910, 2016 | 2 | 2016 |
| SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning C Wang, P Wang, T Qin, C Wang, S Kumar, X Guan, J Liu, KCC Chang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 1 | 2021 |
| Modeling Network Growth under Resource Constraints H Shah, S Kumar, H Sundaram CoRR, 2017 | 1 | 2017 |
| Information sampling from online social networks S Kumar University of Illinois at Urbana-Champaign, 2021 | | 2021 |
| Mining Hidden Populations through Attributed Search S Kumar, H Gao, C Wang, H Sundaram, KCC Chang arXiv preprint arXiv:1905.04505, 2019 | | 2019 |
| GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities Accepted in IEEE TKDE T Chakraborty, S Kumar, N Ganguly, A Mukherjee, S Bhowmick | | |
