| Evaluating the applicability of soil moisture-based metrics for gauging the resiliency of rainfed agricultural systems in the midwestern United States R Eeswaran, AP Nejadhashemi, FC Alves, B Saravi Soil and Tillage Research 205, 104818, 2021 | 21 | 2021 |
| A relaxation-based network decomposition algorithm for parallel transient stability simulation with improved convergence J Shi, B Sullivan, M Mazzola, B Saravi, U Adhikari, T Haupt IEEE Transactions on Parallel and Distributed Systems 29 (3), 496-511, 2017 | 20 | 2017 |
| Quantitative model of irrigation effect on maize yield by deep neural network B Saravi, AP Nejadhashemi, B Tang Neural Computing and Applications 32, 10679-10692, 2020 | 18 | 2020 |
| Identifying water quality variables most strongly influencing Legionella concentrations in building plumbing R Julien, B Saravi, A Nejadhashemi, AJ Whelton, TG Aw, J Mitchell AWWA Water Science 4 (1), e1267, 2022 | 13 | 2022 |
| Faster-than-real-time power system transient stability simulation using parallel general norton with multiport equivalent (pgnme) B Sullivan, J Shi, M Mazzola, B Saravi 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 10 | 2017 |
| Reducing deep learning network structure through variable reduction methods in crop modeling B Saravi, AP Nejadhashemi, P Jha, B Tang Artificial Intelligence in Agriculture 5, 196-207, 2021 | 9 | 2021 |
| Rural-urban diet convergence in Bangladesh M Dolislager, B Belton, T Reardon, T Awokuse, L Ignowski, ... IFPRI working papers, 2024 | | 2024 |
| Evaluating the applicability of Deep Learning techniques in agricultural systems modeling B Saravi Mississippi State University, 2019 | | 2019 |
