| A web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES J Graham, K Kanov, XIA Yang, M Lee, N Malaya, CC Lalescu, R Burns, ... Journal of Turbulence 17 (2), 181-215, 2016 | 223 | 2016 |
| Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence G Eyink, E Vishniac, C Lalescu, H Aluie, K Kanov, K Bürger, R Burns, ... Nature 497 (7450), 466-469, 2013 | 195 | 2013 |
| Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database H Yu, K Kanov, E Perlman, J Graham, E Frederix, R Burns, A Szalay, ... Journal of Turbulence, N12, 2012 | 87 | 2012 |
| The Johns Hopkins turbulence databases: an open simulation laboratory for turbulence research K Kanov, R Burns, C Lalescu, G Eyink Computing in Science & Engineering 17 (5), 10-17, 2015 | 35 | 2015 |
| Turbulent channel flow data set J Graham, M Lee, N Malaya, R Moser, G Eyink, C Meneveau, K Kanov, ... Johns Hopkins University, 2013 | 22 | 2013 |
| I/O streaming evaluation of batch queries for data-intensive computational turbulence K Kanov, E Perlman, R Burns, Y Ahmad, A Szalay Proceedings of 2011 International Conference for High Performance Computing …, 2011 | 17 | 2011 |
| Chandra observation of the interaction of the radio source and cooling core in Abell 2063 KN Kanov, CL Sarazin, AK Hicks The Astrophysical Journal 653 (1), 184, 2006 | 14 | 2006 |
| Data-intensive spatial filtering in large numerical simulation datasets K Kanov, R Burns, G Eyink, C Meneveau, A Szalay SC'12: Proceedings of the International Conference on High Performance …, 2012 | 11 | 2012 |
| An architecture for a data-intensive computer E Givelberg, A Szalay, K Kanov, R Burns Proceedings of the first international workshop on Network-aware data …, 2011 | 10 | 2011 |
| C. Canada, J. Ahrens, and B. Hamann. Remote visual analysis of large turbulence databases at multiple scales J Pulido, D Livescu, K Kanov, R Burns Journal of Parallel and Distributed Computing 120, 115-126, 2018 | 9 | 2018 |
| Remote visual analysis of large turbulence databases at multiple scales J Pulido, D Livescu, K Kanov, R Burns, C Canada, J Ahrens, B Hamann Journal of Parallel and Distributed Computing 120, 115-126, 2018 | 7 | 2018 |
| A Web-Services accessible database for channel flow turbulence at Reτ =1000 J Graham, K Kanov, E Givelberg, R Burns, G Eyink, A Szalay, ... APS Division of Fluid Dynamics Meeting Abstracts, G21. 003, 2013 | 7 | 2013 |
| Forced MHD turbulence data set H Aluie, G Eyink, E Vishniac, S Chen, K Kanov, R Burns, C Meneveau, ... Johns Hopkins Turbulence Databases, 2013 | 7 | 2013 |
| Homogeneous buoyancy driven turbulence data set D Livescu, K Kanov, R Burns, J Pulido Johns Hopkins Turbulence Databases, 2014 | 6 | 2014 |
| Particle tracking in open simulation laboratories K Kanov, R Burns Proceedings of the International Conference for High Performance Computing …, 2015 | 4 | 2015 |
| Run-time creation of the turbulent channel flow database by an HPC simulation using MPI-DB J Graham, E Givelberg, K Kanov Proceedings of the 20th European MPI Users' Group Meeting, 151-156, 2013 | 4 | 2013 |
| MPI-DB, a parallel database services software library for scientific computing E Givelberg, A Szalay, K Kanov, R Burns Recent Advances in the Message Passing Interface: 18th European MPI Users …, 2011 | 4 | 2011 |
| Efficient evaluation of threshold queries of derived fields in a numerical simulation database. K Kanov, RC Burns, CC Lalescu EDBT, 301-312, 2015 | 3 | 2015 |
| Turbulent Channel Flow J Graham, MK Lee, N Malaya, G Eyink, C Meneveau, K Kanov, R Burns, ... Johns Hopkins Turbulence Databases, 2017 | 1 | 2017 |
| Efficient evaluation of data-intensive batch-queries in open simulation laboratories KN Kanov Johns Hopkins University, 2015 | 1 | 2015 |
