Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management
2009498 citationsPatrick M. Reed, Dragan Savić et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Barbara Minsker
Since
Specialization
Citations
This map shows the geographic impact of Barbara Minsker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Barbara Minsker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Minsker more than expected).
This network shows the impact of papers produced by Barbara Minsker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Barbara Minsker. The network helps show where Barbara Minsker may publish in the future.
Co-authorship network of co-authors of Barbara Minsker
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Minsker.
A scholar is included among the top collaborators of Barbara Minsker based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Barbara Minsker. Barbara Minsker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jha, Sunil Kumar, et al.. (2011). Updating river bathymetry with multiple data sources using kriging. AGU Fall Meeting Abstracts. 2011.1 indexed citations
7.
Marini, Luigi, et al.. (2008). Dashboard Visualization for Diverse User Communities. AGU Fall Meeting Abstracts. 2008.1 indexed citations
8.
Demissie, Yonas, Albert J. Valocchi, Barbara Minsker, & Barbara Bailey. (2008). Bias-corrected groundwater model prediction uncertainty analysis. IAHS-AISH publication. 15–21.1 indexed citations
9.
Hill, David J., Barbara Minsker, & E. Amir. (2007). Real-Time Bayesian Anomaly Detection in Streaming Environmental Data. AGUFM. 2007.1 indexed citations
10.
Montagna, Paolo, et al.. (2007). Integrating Sensor Data and Informatics to Improve Understanding of Hypoxia in the WATERS Network Testbed at Corpus Christi Bay, Texas. AGUFM. 2007.1 indexed citations
Minsker, Barbara, et al.. (2006). CyberIntegrator: A Highly Interactive Problem Solving Environment to Support Environmental Observatories. AGUFM. 2006.3 indexed citations
Espinoza, Felipe & Barbara Minsker. (2003). A Self -Adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design. AGU Fall Meeting Abstracts. 2003.5 indexed citations
17.
Singh, Abhishek & Barbara Minsker. (2003). Uncertainty-Based Multi-Objective Optimization of Groundwater Remediation Design. AGUFM. 2003.17 indexed citations
18.
Minsker, Barbara & Amarjit Singh. (2002). A Framework for Multiobjective Decision Making Under Uncertainty. AGU Spring Meeting Abstracts. 2002.1 indexed citations
19.
Reed, Patrick M., Barbara Minsker, & David E. Goldberg. (2001). Designing a new elitist Nondominated Sorted Genetic Algorithm for a multiobjective long term groundwater monitoring application. Genetic and Evolutionary Computation Conference. 1454–1454.4 indexed citations
20.
Espinoza, Felipe, Barbara Minsker, & David E. Goldberg. (2001). A self adaptive hybrid genetic algorithm. Genetic and Evolutionary Computation Conference. 759–759.23 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.