Year |
Citation |
Score |
2019 |
Vesselinov VV, Mudunuru MK, Karra S, O'Malley D, Alexandrov BS. Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing Journal of Computational Physics. 395: 85-104. DOI: 10.1016/J.Jcp.2019.05.039 |
0.33 |
|
2018 |
Vesselinov VV, Alexandrov BS, O'Malley D. Nonnegative tensor factorization for contaminant source identification. Journal of Contaminant Hydrology. PMID 30528243 DOI: 10.1016/J.Jconhyd.2018.11.010 |
0.401 |
|
2018 |
Qian E, Peherstorfer B, O'Malley D, Vesselinov VV, Willcox K. Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices Siam/Asa Journal On Uncertainty Quantification. 6: 683-706. DOI: 10.1137/17M1151006 |
0.307 |
|
2018 |
Lu Z, Vesselinov VV, Lei H. Identifying arbitrary parameter zonation using multiple level set functions Journal of Computational Physics. 364: 257-273. DOI: 10.1016/J.Jcp.2018.03.016 |
0.59 |
|
2018 |
Stanev VG, Iliev FL, Hansen S, Vesselinov VV, Alexandrov BS. Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method Applied Mathematical Modelling. 60: 64-76. DOI: 10.1016/J.Apm.2018.03.006 |
0.306 |
|
2018 |
Hansen SK, He J, Vesselinov VV. Characterizing the impact of model error in hydrologic time series recovery inverse problems Advances in Water Resources. 111: 372-380. DOI: 10.1016/J.Advwatres.2017.09.030 |
0.326 |
|
2017 |
Vesselinov VV, Alexandrov BS, O'Malley D. Contaminant source identification using semi-supervised machine learning. Journal of Contaminant Hydrology. PMID 29174719 DOI: 10.1016/J.Jconhyd.2017.11.002 |
0.381 |
|
2017 |
Heerspink BP, Pandey S, Boukhalfa H, Ware DS, Marina O, Perkins G, Vesselinov VV, WoldeGabriel G. Fate and transport of hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) and its degradation products in sedimentary and volcanic rocks, Los Alamos, New Mexico. Chemosphere. 182: 276-283. PMID 28500972 DOI: 10.1016/J.Chemosphere.2017.04.149 |
0.327 |
|
2017 |
Hansen S, Pandey S, Karra S, Vesselinov VV. CHROTRAN 1.0: A mathematical and computational model for in situ heavy metal remediation in heterogeneous aquifers Geoscientific Model Development. 10: 4525-4538. DOI: 10.5194/Gmd-10-4525-2017 |
0.307 |
|
2017 |
Zhang X, Sun AY, Duncan IJ, Vesselinov VV. Two-Stage Fracturing Wastewater Management in Shale Gas Development Industrial & Engineering Chemistry Research. 56: 1579. DOI: 10.1021/Acs.Iecr.6B03971 |
0.302 |
|
2017 |
Bakarji J, O’Malley D, Vesselinov VV. Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management Water Resources Management. 31: 3881-3898. DOI: 10.1007/S11269-017-1713-7 |
0.3 |
|
2017 |
Hansen SK, Vesselinov VV, Reimus PW, Lu Z. Inferring subsurface heterogeneity from push-drift tracer tests Water Resources Research. 53: 6322-6329. DOI: 10.1002/2017Wr020852 |
0.672 |
|
2017 |
Lin Y, Le EB, O'Malley D, Vesselinov VV, Bui-Thanh T. Large-scale inverse model analyses employing fast randomized data reduction Water Resources Research. 53: 6784-6801. DOI: 10.1002/2016Wr020299 |
0.382 |
|
2016 |
Hansen SK, Vesselinov VV. Contaminant point source localization error estimates as functions of data quantity and model quality. Journal of Contaminant Hydrology. 193: 74-85. PMID 27639975 DOI: 10.1016/J.Jconhyd.2016.09.003 |
0.397 |
|
2016 |
Lin Y, O'Malley D, Vesselinov VV. A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses Water Resources Research. 52: 6948-6977. DOI: 10.1002/2016Wr019028 |
0.373 |
|
2016 |
Hansen SK, Berkowitz B, Vesselinov VV, O'Malley D, Karra S. Push-pull tracer tests: Their information content and use for characterizing non-Fickian, mobile-immobile behavior Water Resources Research. 52: 9565-9585. DOI: 10.1002/2016Wr018769 |
0.447 |
|
2015 |
Mattis SA, Butler TD, Dawson CN, Estep D, Vesselinov VV. Parameter estimation and prediction for groundwater contamination based on measure theory Water Resources Research. DOI: 10.1002/2015Wr017295 |
0.383 |
|
2015 |
Lu Z, Vesselinov VV. Analytical sensitivity analysis of transient groundwater flow in a bounded model domain using the adjoint method Water Resources Research. 51: 5060-5080. DOI: 10.1002/2014Wr016819 |
0.647 |
|
2015 |
Barajas-Solano DA, Wohlberg BE, Vesselinov VV, Tartakovsky DM. Linear functional minimization for inverse modeling Water Resources Research. 51: 4516-4531. DOI: 10.1002/2014Wr016179 |
0.604 |
|
2014 |
O'Malley D, Vesselinov VV. A Combined Probabilistic/Nonprobabilistic Decision Analysis for Contaminant Remediation Siam/Asa Journal On Uncertainty Quantification. 2: 607-621. DOI: 10.1137/140965132 |
0.308 |
|
2014 |
O'Malley D, Vesselinov VV. Analytical solutions for anomalous dispersion transport Advances in Water Resources. 68: 13-23. DOI: 10.1016/J.Advwatres.2014.02.006 |
0.442 |
|
2014 |
Alexandrov BS, Vesselinov VV. Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization Water Resources Research. 50: 7332-7347. DOI: 10.1002/2013Wr015037 |
0.363 |
|
2013 |
Chen G, Illman WA, Thompson DL, Vesselinov VV, Neuman SP. Geostatistical, type-curve, and inverse analyses of pneumatic injection tests in unsaturated fractured tuffs at the apache leap research site near superior, Arizona Geophysical Monograph. 122: 73-98. DOI: 10.1029/Gm122P0073 |
0.749 |
|
2012 |
Mishra PK, Vesselinov VV, Neuman SP. Radial flow to a partially penetrating well with storage in an anisotropic confined aquifer Journal of Hydrology. 448: 255-259. DOI: 10.1016/J.Jhydrol.2012.05.010 |
0.736 |
|
2012 |
Vesselinov VV, Harp DR. Adaptive hybrid optimization strategy for calibration and parameter estimation of physical process models Computers and Geosciences. 49: 10-20. DOI: 10.1016/J.Cageo.2012.05.027 |
0.301 |
|
2012 |
Harp DR, Vesselinov VV. An agent-based approach to global uncertainty and sensitivity analysis Computers and Geosciences. 40: 19-27. DOI: 10.1016/J.Cageo.2011.06.025 |
0.327 |
|
2012 |
Mishra PK, Vesselinov VV, Kuhlman KL. Saturated–unsaturated flow in a compressible leaky-unconfined aquifer Advances in Water Resources. 42: 62-70. DOI: 10.1016/J.Advwatres.2012.03.007 |
0.716 |
|
2012 |
Harp DR, Vesselinov VV. Analysis of hydrogeological structure uncertainty by estimation of hydrogeological acceptance probability of geostatistical models Advances in Water Resources. 36: 64-74. DOI: 10.1016/J.Advwatres.2011.06.007 |
0.347 |
|
2011 |
Harp DR, Vesselinov VV. Identification of pumping influences in long-term water level fluctuations. Ground Water. 49: 403-14. PMID 20550585 DOI: 10.1111/J.1745-6584.2010.00725.X |
0.421 |
|
2010 |
Harp DR, Vesselinov VV. Stochastic inverse method for estimation of geostatistical representation of hydrogeologic stratigraphy using borehole logs and pressure observations Stochastic Environmental Research and Risk Assessment. 24: 1023-1042. DOI: 10.1007/S00477-010-0403-2 |
0.396 |
|
2010 |
Morales-Casique E, Neuman SP, Vesselinov VV. Maximum likelihood Bayesian averaging of airflow models in unsaturated fractured tuff using Occam and variance windows Stochastic Environmental Research and Risk Assessment. 24: 863-880. DOI: 10.1007/S00477-010-0383-2 |
0.763 |
|
2009 |
Vesselinov VV. Uncertainties in Transient Capture-Zone Estimates of Groundwater Supply Wells Journal of Contemporary Water Research & Education. 137: 1-7. DOI: 10.1111/J.1936-704X.2007.Mp137001001.X |
0.402 |
|
2008 |
Vrugt JA, Stauffer PH, Wöhling T, Robinson BA, Vesselinov VV. Inverse modeling of subsurface flow and transport properties: A review with new developments Vadose Zone Journal. 7: 843-844. DOI: 10.2136/Vzj2007.0078 |
0.419 |
|
2008 |
Harp DR, Dai Z, Wolfsberg AV, Vrugt JA, Robinson BA, Vesselinov VV. Aquifer structure identification using stochastic inversion Geophysical Research Letters. 35. DOI: 10.1029/2008Gl033585 |
0.313 |
|
2006 |
Zyvoloski GA, Vesselinov VV. An investigation of numerical grid effects in parameter estimation. Ground Water. 44: 814-25. PMID 17087753 DOI: 10.1111/J.1745-6584.2006.00203.X |
0.43 |
|
2005 |
Keating EH, Robinson BA, Vesselinov VV. Development and application of numerical models to estimate fluxes through the regional aquifer beneath the Pajarito Plateau Vadose Zone Journal. 4: 653-671. DOI: 10.2136/Vzj2004.0101 |
0.44 |
|
2005 |
Vrugt JA, Robinson BA, Vesselinov VV. Improved inverse modeling for flow and transport in subsurface media: Combined parameter and state estimation Geophysical Research Letters. 32: 1-5. DOI: 10.1029/2005Gl023940 |
0.38 |
|
2004 |
Vesselinov VV. Estimation of parameter uncertainty using inverse model sensitivities Developments in Water Science. 55: 1243-1250. DOI: 10.1016/S0167-5648(04)80139-4 |
0.341 |
|
2003 |
Keating EH, Vesselinov VV, Kwicklis E, Lu Z. Coupling basin- and site-scale inverse models of the Española aquifer. Ground Water. 41: 200-11. PMID 12656286 DOI: 10.1111/J.1745-6584.2003.Tb02583.X |
0.639 |
|
2002 |
Hyun Y, Neuman SP, Vesselinov VV, Illman WA, Tartakovsky DM, Di Federico V. Theoretical interpretation of a pronounced permeability scale effect in unsaturated fractured tuff Water Resources Research. 38: 28-1-28-8. DOI: 10.1029/2001Wr000658 |
0.675 |
|
2001 |
Vesselinov VV, Neuman SP. Numerical inverse interpretation of single-hole pneumatic tests in unsaturated fractured tuff. Ground Water. 39: 685-95. PMID 11554246 DOI: 10.1111/J.1745-6584.2001.Tb02358.X |
0.618 |
|
2001 |
Vesselinov VV, Neuman SP, Illman WA. Three-dimensional numerical inversion of pneumatic cross-hole tests in unsaturated fractured tuff: 2. Equivalent parameters, high-resolution stochastic imaging and scale effects Water Resources Research. 37: 3019-3041. DOI: 10.1029/2000Wr000135 |
0.771 |
|
2001 |
Vesselinov VV, Neuman SP, Illman WA. Three-dimensional numerical inversion of pneumatic cross-hole tests in unsaturated fractured tuff: 1. Methodology and borehole effects Water Resources Research. 37: 3001-3017. DOI: 10.1029/2000Wr000133 |
0.773 |
|
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