| The Helmholtz-Hodge Decomposition-A Survey H Bhatia, G Norgard, V Pascucci, P Bremer IEEE Transactions on Visualization and Computer Graphics 19 (8), 1386-1404, 2013 | 373 | 2013 |
| Computational lipidomics of the neuronal plasma membrane HI Ingólfsson, TS Carpenter, H Bhatia, PT Bremer, SJ Marrink, ... Biophysical journal 113 (10), 2271-2280, 2017 | 271 | 2017 |
| A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer F Di Natale, H Bhatia, TS Carpenter, C Neale, S Kokkila-Schumacher, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 81 | 2019 |
| Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins HI Ingólfsson, C Neale, TS Carpenter, R Shrestha, CA López, TH Tran, ... Proceedings of the National Academy of Sciences 119 (1), e2113297119, 2022 | 79 | 2022 |
| TopoMS: Comprehensive topological exploration for molecular and condensed‐matter systems H Bhatia, AG Gyulassy, V Lordi, JE Pask, V Pascucci, PT Bremer Journal of computational chemistry 39 (16), 936-952, 2018 | 69 | 2018 |
| The natural Helmholtz-Hodge decomposition for open-boundary flow analysis H Bhatia, V Pascucci, PT Bremer IEEE transactions on visualization and computer graphics 20 (11), 1566-1578, 2014 | 64 | 2014 |
| Capturing biologically complex tissue-specific membranes at different levels of compositional complexity HI Ingólfsson, H Bhatia, T Zeppelin, WFD Bennett, KA Carpenter, PC Hsu, ... The Journal of Physical Chemistry B 124 (36), 7819-7829, 2020 | 49 | 2020 |
| MemSurfer: A tool for robust computation and characterization of curved membranes H Bhatia, HI Ingólfsson, TS Carpenter, FC Lightstone, PT Bremer Journal of chemical theory and computation 15 (11), 6411-6421, 2019 | 48 | 2019 |
| Flow Visualization with Quantified Spatial and Temporal Errors using Edge Maps. H Bhatia, S Jadhav, PT Bremer, G Chen, JA Levine, LG Nonato, ... IEEE Transactions on Visualization and Computer Graphics 18 (9), 1383-1396, 2012 | 45 | 2012 |
| Efficient and flexible hierarchical data layouts for a unified encoding of scalar field precision and resolution D Hoang, B Summa, H Bhatia, P Lindstrom, P Klacansky, W Usher, ... IEEE Transactions on Visualization and Computer Graphics 27 (2), 603-613, 2020 | 34 | 2020 |
| Edge maps: Representing flow with bounded error H Bhatia, S Jadhav, PT Bremer, G Chen, JA Levine, LG Nonato, ... 2011 IEEE Pacific Visualization Symposium, 75-82, 2011 | 34 | 2011 |
| Generalizable coordination of large multiscale workflows: challenges and learnings at scale H Bhatia, F Di Natale, JY Moon, X Zhang, JR Chavez, F Aydin, C Stanley, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 33 | 2021 |
| A study of the trade-off between reducing precision and reducing resolution for data analysis and visualization D Hoang, P Klacansky, H Bhatia, PT Bremer, P Lindstrom, V Pascucci IEEE transactions on visualization and computer graphics 25 (1), 1193-1203, 2018 | 33 | 2018 |
| Extracting features from time‐dependent vector fields using internal reference frames H Bhatia, V Pascucci, RM Kirby, PT Bremer Computer graphics forum 33 (3), 21-30, 2014 | 30 | 2014 |
| Comparing gpu power and frequency capping: A case study with the mummi workflow T Patki, Z Frye, H Bhatia, F Di Natale, J Glosli, H Ingolfsson, B Rountree 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 31-39, 2019 | 29 | 2019 |
| Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow HT Nguyen, A Bhatele, N Jain, SP Kesavan, H Bhatia, T Gamblin, KL Ma, ... IEEE transactions on visualization and computer graphics 27 (4), 2455-2468, 2019 | 29 | 2019 |
| Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations H Bhatia, TS Carpenter, HI Ingólfsson, G Dharuman, P Karande, S Liu, ... Nature Machine Intelligence 3 (5), 401-409, 2021 | 28 | 2021 |
| Visualizing Robustness of Critical Points for 2D Time-Varying Vector Fields B Wang, P Rosen, P Skraba, H Bhatia, V Pascucci Computer Graphics Forum 19 (3), 527-528, 2013 | 27 | 2013 |
| Machine learning-driven multiscale modeling: bridging the scales with a next-generation simulation infrastructure HI Ingólfsson, H Bhatia, F Aydin, T Oppelstrup, CA López, LG Stanton, ... Journal of Chemical Theory and Computation 19 (9), 2658-2675, 2023 | 26 | 2023 |
| Local, smooth, and consistent Jacobi set simplification H Bhatia, B Wang, G Norgard, V Pascucci, PT Bremer Computational Geometry 48 (4), 311-332, 2015 | 25 | 2015 |
Peer-Timo BremerLawrence Livermore National LaboratoryPatvirtintas el. paštas llnl.gov
