| Year |
Citation |
Score |
| 2019 |
Xu W, Collingsworth PD, Minsker B. Algorithmic Characterization of Lake Stratification and Deep Chlorophyll Layers From Depth Profiling Water Quality Data Water Resources Research. 55: 3815-3834. DOI: 10.1029/2018Wr023975 |
0.351 |
|
| 2019 |
Rai A, Minsker B, Sullivan W, Band L. A novel computational green infrastructure design framework for hydrologic and human benefits Environmental Modelling & Software. 118: 252-261. DOI: 10.1016/J.Envsoft.2019.03.016 |
0.347 |
|
| 2019 |
Leonard L, Miles B, Heidari B, Lin L, Castronova AM, Minsker B, Lee J, Scaife C, Band LE. Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment Environmental Modelling & Software. 111: 121-133. DOI: 10.1016/J.Envsoft.2018.10.003 |
0.349 |
|
| 2018 |
Zheng F, Tao R, Maier HR, See L, Savic D, Zhang T, Chen Q, Assumpção TH, Yang P, Heidari B, Rieckermann J, Minsker B, Bi W, Cai X, Solomatine D, et al. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions Reviews of Geophysics. 56: 698-740. DOI: 10.1029/2018Rg000616 |
0.325 |
|
| 2017 |
Xu W, Collingsworth PD, Bailey B, Mazur MLC, Schaeffer J, Minsker B. Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis Environmental Modelling and Software. 97: 72-85. DOI: 10.1016/J.Envsoft.2017.06.049 |
0.315 |
|
| 2016 |
Du E, Rivera S, Cai X, Myers L, Ernest A, Minsker B. Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent-Based Modeling Framework Jawra Journal of the American Water Resources Association. 53: 316-332. DOI: 10.1111/1752-1688.12475 |
0.303 |
|
| 2015 |
Minsker B, Baldwin L, Crittenden J, Kabbes K, Karamouz M, Lansey K, Malinowski P, Nzewi E, Pandit A, Parker J, Rivera S, Surbeck C, Wallace WA, Williams J. Progress and recommendations for advancing performance-based sustainable and resilient infrastructure design Journal of Water Resources Planning and Management. 141. DOI: 10.1061/(Asce)Wr.1943-5452.0000521 |
0.336 |
|
| 2015 |
Zimmer A, Schmidt A, Ostfeld A, Minsker B. Evolutionary algorithm enhancement for model predictive control and real-time decision support Environmental Modelling and Software. 69: 330-341. DOI: 10.1016/J.Envsoft.2015.03.005 |
0.45 |
|
| 2014 |
Coopersmith EJ, Minsker BS, Sivapalan M. Using hydro-climatic and edaphic similarity to enhance soil moisture prediction Hydrology and Earth System Sciences Discussions. 11: 2321-2353. DOI: 10.5194/Hessd-11-2321-2014 |
0.731 |
|
| 2014 |
Coopersmith EJ, Minsker BS, Sivapalan M. Using similarity of soil texture and hydroclimate to enhance soil moisture estimation Hydrology and Earth System Sciences. 18: 3095-3107. DOI: 10.5194/Hess-18-3095-2014 |
0.727 |
|
| 2014 |
Maier HR, Kapelan Z, Kasprzyk J, Kollat J, Matott LS, Cunha MC, Dandy GC, Gibbs MS, Keedwell E, Marchi A, Ostfeld A, Savic D, Solomatine DP, Vrugt JA, Zecchin AC, ... Minsker BS, et al. Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions Environmental Modelling and Software. 62: 271-299. DOI: 10.1016/J.Envsoft.2014.09.013 |
0.651 |
|
| 2014 |
Rivera SJ, Minsker BS, Work DB, Roth D. A text mining framework for advancing sustainability indicators Environmental Modelling and Software. 62: 128-138. DOI: 10.1016/J.Envsoft.2014.08.016 |
0.359 |
|
| 2014 |
Coopersmith EJ, Minsker BS, Wenzel CE, Gilmore BJ. Machine learning assessments of soil drying for agricultural planning Computers and Electronics in Agriculture. 104: 93-104. DOI: 10.1016/J.Compag.2014.04.004 |
0.746 |
|
| 2014 |
Coopersmith EJ, Minsker BS, Sivapalan M. Patterns of regional hydroclimatic shifts: An analysis of changing hydrologic regimes Water Resources Research. 50: 1960-1983. DOI: 10.1002/2012Wr013320 |
0.711 |
|
| 2012 |
Babbar-Sebens M, Minsker BS. Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design Applied Soft Computing Journal. 12: 182-195. DOI: 10.1016/J.Asoc.2011.08.054 |
0.48 |
|
| 2011 |
Gopalakrishnan G, Minsker BS, Valocchi AJ. Monitoring network design for phytoremediation systems using primary and secondary data sources. Environmental Science & Technology. 45: 4846-53. PMID 21557573 DOI: 10.1021/Es1042657 |
0.604 |
|
| 2011 |
Coopersmith EJ, Minsker B, Montagna P. Understanding and forecasting hypoxia using machine learning algorithms Journal of Hydroinformatics. 13: 64-80. DOI: 10.2166/Hydro.2010.015 |
0.752 |
|
| 2011 |
Yan S, Minsker B. Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Designs Journal of Water Resources Planning and Management. 137: 284-292. DOI: 10.1061/(Asce)Wr.1943-5452.0000106 |
0.66 |
|
| 2010 |
Nicklow J, Reed P, Savic D, Dessalegne T, Harrell L, Chan-Hilton A, Karamouz M, Minsker B, Ostfeld A, Singh A, Zechman E. State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management Journal of Water Resources Planning and Management. 136: 412-432. DOI: 10.1061/(Asce)Wr.1943-5452.0000053 |
0.635 |
|
| 2010 |
Singh A, Minsker BS, Bajcsy P. Image-based machine learning for reduction of user fatigue in an interactive model calibration system Journal of Computing in Civil Engineering. 24: 241-251. DOI: 10.1061/(Asce)Cp.1943-5487.0000026 |
0.376 |
|
| 2010 |
Babbar-Sebens M, Minsker B. A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design Environmental Modelling & Software. 25: 1176-1187. DOI: 10.1016/J.Envsoft.2010.03.027 |
0.492 |
|
| 2010 |
Hill DJ, Minsker BS. Anomaly detection in streaming environmental sensor data: A data-driven modeling approach Environmental Modelling and Software. 25: 1014-1022. DOI: 10.1016/J.Envsoft.2009.08.010 |
0.304 |
|
| 2010 |
Singh A, Walker DD, Minsker BS, Valocchi AJ. Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework Stochastic Environmental Research and Risk Assessment. 24: 881-898. DOI: 10.1007/S00477-010-0384-1 |
0.38 |
|
| 2009 |
Demissie YK, Valocchi AJ, Minsker BS, Bailey BA. Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions Journal of Hydrology. 364: 257-271. DOI: 10.1016/J.Jhydrol.2008.11.007 |
0.317 |
|
| 2008 |
Babbar-Sebens M, Minsker B. Standard Interactive Genetic Algorithm—Comprehensive Optimization Framework for Groundwater Monitoring Design Journal of Water Resources Planning and Management. 134: 538-547. DOI: 10.1061/(Asce)0733-9496(2008)134:6(538) |
0.407 |
|
| 2008 |
Singh A, Minsker BS. Uncertainty-based multiobjective optimization of groundwater remediation design Water Resources Research. 44. DOI: 10.1029/2005Wr004436 |
0.465 |
|
| 2008 |
Singh A, Minsker BS, Valocchi AJ. An interactive multi-objective optimization framework for groundwater inverse modeling Advances in Water Resources. 31: 1269-1283. DOI: 10.1016/J.Advwatres.2008.05.005 |
0.424 |
|
| 2007 |
Hill DJ, Minsker BS, Valocchi AJ, Babovic V, Keijzer M. Upscaling models of solute transport in porous media through genetic programming Journal of Hydroinformatics. 9: 251-266. DOI: 10.2166/Hydro.2007.028 |
0.327 |
|
| 2007 |
Farrell DM, Minsker BS, Tcheng D, Searsmith D, Bohn J, Beckman D. Data mining to improve management and reduce costs of environmental remediation Journal of Hydroinformatics. 9: 107-121. DOI: 10.2166/Hydro.2007.004 |
0.328 |
|
| 2007 |
Gopalakrishnan G, Negri MC, Minsker BS, Werth CJ. Monitoring subsurface contamination using tree branches Ground Water Monitoring and Remediation. 27: 65-74. DOI: 10.1111/J.1745-6592.2006.00124.X |
0.573 |
|
| 2007 |
Babbar M, Minsker B. A collaborative interactive genetic algorithm framework for mixed-initiative interaction with human and simulated experts: A case study in long-term groundwater monitoring design Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006. DOI: 10.1061/40856(200)116 |
0.775 |
|
| 2007 |
Characklis GW, Reed PM, Minsker BS. The role of the systems community in the National Science Foundation's environmental observatories Journal of Water Resources Planning and Management. 133: 1-3. DOI: 10.1061/(Asce)0733-9496(2007)133:1(1) |
0.509 |
|
| 2007 |
Sinha E, Minsker BS. Multiscale island injection genetic algorithms for groundwater remediation Advances in Water Resources. 30: 1933-1942. DOI: 10.1016/J.Advwatres.2007.03.006 |
0.514 |
|
| 2006 |
Becker D, Minsker B, Greenwald R, Zhang Y, Harre K, Yager K, Zheng C, Peralta R. Reducing long-term remedial costs by transport modeling optimization. Ground Water. 44: 864-75. PMID 17087758 DOI: 10.1111/J.1745-6584.2006.00242.X |
0.463 |
|
| 2006 |
Espinoza FP, Minsker BS. Effects of local search algorithms on groundwater remediation optimization using a self-adaptive hybrid genetic algorithm Journal of Computing in Civil Engineering. 20: 420-430. DOI: 10.1061/(Asce)0887-3801(2006)20:6(420) |
0.785 |
|
| 2006 |
Babbar M, Minsker BS. Groundwater remediation design using multiscale genetic algorithms Journal of Water Resources Planning and Management. 132: 341-350. DOI: 10.1061/(Asce)0733-9496(2006)132:5(341) |
0.799 |
|
| 2006 |
Yan S, Minsker B. Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm Water Resources Research. 42. DOI: 10.1029/2005Wr004303 |
0.689 |
|
| 2006 |
Espinoza FP, Minsker BS. Development of the enhanced self-adaptive hybrid genetic algorithm (e-SAHGA) Water Resources Research. 42. DOI: 10.1029/2005Wr004221 |
0.787 |
|
| 2005 |
Babbar M, Minsker B, Takagi H. Expert knowledge in long-term groundwater monitoring optimization process: The interactive genetic algorithm perspective World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress. 340. DOI: 10.1061/40792(173)340 |
0.795 |
|
| 2005 |
Hayes MS, Minsker BS. Evaluation of advanced genetic algorithms applied to groundwater remediation design World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress. 339. DOI: 10.1061/40792(173)339 |
0.392 |
|
| 2005 |
Ren X, Minsker B. Which Groundwater Remediation Objective is Better: A Realistic One or a Simple One? Journal of Water Resources Planning and Management. 131: 351-361. DOI: 10.1061/(Asce)0733-9496(2005)131:5(351) |
0.324 |
|
| 2005 |
Espinoza FP, Minsker BS, Goldberg DE. Adaptive hybrid genetic algorithm for groundwater remediation design Journal of Water Resources Planning and Management. 131: 14-24. DOI: 10.1061/(Asce)0733-9496(2005)131:1(14) |
0.792 |
|
| 2005 |
Michael WJ, Minsker BS, Tcheng D, Valocchi AJ, Quinn JJ. Integrating data sources to improve hydraulic head predictions: A hierarchical machine learning approach Water Resources Research. 41: 1-14. DOI: 10.1029/2003Wr002802 |
0.321 |
|
| 2004 |
Reed PM, Ellsworth TR, Minsker BS. Spatial interpolation methods for nonstationary plume data. Ground Water. 42: 190-202. PMID 15035584 DOI: 10.1111/J.1745-6584.2004.Tb02667.X |
0.586 |
|
| 2004 |
Gopalakrishnan G, Minsker B, Goldberg DE. Optimal sampling in a noisy genetic algorithm for risk-based remediation design Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.2166/Hydro.2003.0002 |
0.657 |
|
| 2004 |
Minsker BS. Long-term groundwater monitoring optimization: Improving performance and reducing costs associated with natural attenuation and other in situ treatments Bioremediation Journal. 8: 87-88. DOI: 10.1080/10889860490887437 |
0.317 |
|
| 2004 |
Reed PM, Minsker BS, Goldberg DE. The practitioner's role in competent search and optimization using genetic algorithms Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.1061/40569(2001)97 |
0.622 |
|
| 2004 |
Espinoza FP, Minsker BS, Goldberg DE. Optimal settings for a hybrid genetic algorithm applied to a groundwater remediation problem Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.1061/40569(2001)95 |
0.793 |
|
| 2004 |
Liu Y, Minsker BS. A full multiscale computational approach for groundwater management modeling Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.1061/40569(2001)69 |
0.303 |
|
| 2004 |
Reed PM, Minsker BS, Valocchi AJ. Why optimize long term groundwater monitoring design? A multiobjective case study of Hill Air Force Base Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.1061/40569(2001)502 |
0.6 |
|
| 2004 |
Gopalakrishnan G, Minsker B, Padera B. Risk based corrective action design using genetic algorithms Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001. 111. DOI: 10.1061/40569(2001)101 |
0.547 |
|
| 2004 |
Reed PM, Minsker BS. Striking the balance: Long-term groundwater monitoring design for conflicting objectives Journal of Water Resources Planning and Management. 130: 140-149. DOI: 10.1061/(Asce)0733-9496(2004)130:2(140) |
0.64 |
|
| 2004 |
Liu Y, Minsker BS. Full multiscale approach for optimal control of in situ bioremediation Journal of Water Resources Planning and Management. 130: 26-32. DOI: 10.1061/(Asce)0733-9496(2004)130:1(26) |
0.423 |
|
| 2003 |
Gopalakrishnan G, Minsker BS, Goldberg DE. Optimal sampling in a noisy genetic algorithm for risk-based remediation design Journal of Hydroinformatics. 5: 11-25. DOI: 10.2166/hydro.2003.0002 |
0.622 |
|
| 2003 |
Reed P, Minsker BS, Goldberg DE. Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II Water Resources Research. 39. DOI: 10.1029/2002Wr001483 |
0.676 |
|
| 2003 |
Espinoza FP, Minsker BS, Goldberg DE. Local search issues for the aplication of a self-adaptive hybrid genetic algorithm in groundwater remediation design World Water and Environmental Resources Congress. 903-912. |
0.784 |
|
| 2003 |
Espinoza FP, Minsker BS, Goldberg DE. Performance evaluation and population reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2723: 922-933. |
0.765 |
|
| 2002 |
Liu Y, Minsker BS. Efficient multiscale methods for optimal in situ bioremediation design Journal of Water Resources Planning and Management. 128: 227-236. DOI: 10.1061/(Asce)0733-9496(2002)128:3(227) |
0.335 |
|
| 2001 |
Reed P, Minsker BS, Goldberg DE. A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data Journal of Hydroinformatics. 3: 71-89. DOI: 10.2166/Hydro.2001.0009 |
0.659 |
|
| 2001 |
Liu Y, Minsker BS, Saied F. One-way spatial multiscale method for optimal bioremediation design Journal of Water Resources Planning and Management. 127: 130-139. DOI: 10.1061/(Asce)0733-9496(2001)127:2(130) |
0.38 |
|
| 2000 |
Kosegi JM, Minsker BS, Dougherty DE. Feasibility study of thermal in situ bioremediation Journal of Environmental Engineering. 126: 601-610. DOI: 10.1061/(Asce)0733-9372(2000)126:7(601) |
0.312 |
|
| 2000 |
Reed P, Minsker B, Valocchi AJ. Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation Water Resources Research. 36: 3731-3741. DOI: 10.1029/2000Wr900232 |
0.635 |
|
| 2000 |
Reed P, Minsker B, Goldberg DE. Designing a competent simple genetic algorithm for search and optimization Water Resources Research. 36: 3757-3761. DOI: 10.1029/2000Wr900231 |
0.701 |
|
| 2000 |
Smalley JB, Minsker BS, Goldberg DE. Risk-based in situ bioremediation design using a noisy genetic algorithm Water Resources Research. 36: 3043-3052. DOI: 10.1029/2000Wr900191 |
0.47 |
|
| 2000 |
Reed PM, Minsker BS, Valocchi AJ, Goldberg DE. Efficient use of a genetic algorithm for long-term groundwater monitoring design Computational Methods in Water Resources - Volume 1 - Computational Methods For Subsurface Flow and Transport. 573-577. |
0.634 |
|
| 2000 |
Minsker BS, Padera B, Smalley JB. Efficient methods for including uncertainty and multiple objectives in water resources management models using genetic algorithms Computational Methods in Water Resources - Volume 1 - Computational Methods For Subsurface Flow and Transport. 567-572. |
0.377 |
|
| 1998 |
Minsker BS, Shoemaker CA. Computational issues for optimal in-situ bioremediation design Journal of Water Resources Planning and Management. 124: 39-46. DOI: 10.1061/(Asce)0733-9496(1998)124:1(39) |
0.591 |
|
| 1998 |
Minsker BS, Shoemaker CA. Quantifying the effects of uncertainty on optimal groundwater bioremediation policies Water Resources Research. 34: 3615-3625. DOI: 10.1029/1998Wr900005 |
0.586 |
|
| 1996 |
Minsker BS, Shoemaker CA. Differentiating a finite element biodegradation simulation model for optimal control Water Resources Research. 32: 187-192. DOI: 10.1029/95Wr02969 |
0.576 |
|
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