Joseph Kasprzyk

4.4k total citations · 3 hit papers
72 papers, 2.9k citations indexed

About

Joseph Kasprzyk is a scholar working on Ocean Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Joseph Kasprzyk has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ocean Engineering, 35 papers in Water Science and Technology and 24 papers in Civil and Structural Engineering. Recurrent topics in Joseph Kasprzyk's work include Water resources management and optimization (41 papers), Water-Energy-Food Nexus Studies (20 papers) and Water Systems and Optimization (19 papers). Joseph Kasprzyk is often cited by papers focused on Water resources management and optimization (41 papers), Water-Energy-Food Nexus Studies (20 papers) and Water Systems and Optimization (19 papers). Joseph Kasprzyk collaborates with scholars based in United States, United Kingdom and Israel. Joseph Kasprzyk's co-authors include Patrick M. Reed, Wil V. Srubar, Joshua B. Kollat, Jonathan D. Herman, David Hadka, Shanthi Nataraj, Robert J. Lempert, Gregory W. Characklis, Zoran Kapelan and Brian R. Kirsch and has published in prestigious journals such as Journal of Cleaner Production, Water Resources Research and Cement and Concrete Research.

In The Last Decade

Joseph Kasprzyk

68 papers receiving 2.8k citations

Hit Papers

Evolutionary multiobjective optimization in water resourc... 2012 2026 2016 2021 2012 2013 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph Kasprzyk United States 24 1.4k 1.1k 1.1k 626 406 72 2.9k
Mohammad Reza Nikoo Iran 37 1.4k 1.0× 918 0.8× 1.6k 1.4× 1.1k 1.8× 1.4k 3.4× 263 4.7k
Barbara Minsker United States 33 1.6k 1.1× 1.0k 0.9× 917 0.8× 540 0.9× 1.5k 3.7× 142 3.7k
Matteo Giuliani Italy 35 2.2k 1.5× 884 0.8× 1.9k 1.7× 1.1k 1.7× 337 0.8× 117 3.7k
Emily M. Zechman United States 20 828 0.6× 802 0.7× 681 0.6× 402 0.6× 684 1.7× 63 1.9k
Raziyeh Farmani United Kingdom 35 1.1k 0.8× 2.4k 2.1× 851 0.8× 759 1.2× 1.5k 3.6× 146 4.9k
Li He China 36 1.3k 0.9× 464 0.4× 1.0k 0.9× 570 0.9× 853 2.1× 106 3.8k
Hojat Karami Iran 31 698 0.5× 1.0k 0.9× 950 0.8× 576 0.9× 829 2.0× 127 2.9k
Saeed Farzin Iran 31 592 0.4× 763 0.7× 944 0.8× 590 0.9× 837 2.1× 103 2.7k
S. Ranji Ranjithan United States 27 771 0.5× 981 0.9× 488 0.4× 191 0.3× 890 2.2× 88 3.3k
Xiaosheng Qin Singapore 36 1.3k 0.9× 539 0.5× 1.3k 1.1× 1.0k 1.6× 817 2.0× 150 3.8k

Countries citing papers authored by Joseph Kasprzyk

Since Specialization
Citations

This map shows the geographic impact of Joseph Kasprzyk'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 Joseph Kasprzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Kasprzyk more than expected).

Fields of papers citing papers by Joseph Kasprzyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Kasprzyk. 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 Joseph Kasprzyk. The network helps show where Joseph Kasprzyk may publish in the future.

Co-authorship network of co-authors of Joseph Kasprzyk

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Kasprzyk. A scholar is included among the top collaborators of Joseph Kasprzyk 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 Joseph Kasprzyk. Joseph Kasprzyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Modi, Parthkumar, Keith S. Jennings, Joseph Kasprzyk, et al.. (2025). Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information. Journal of Advances in Modeling Earth Systems. 17(3). 1 indexed citations
2.
Kasprzyk, Joseph, et al.. (2025). The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US. Journal of Hydrology Regional Studies. 60. 102548–102548.
3.
Kasprzyk, Joseph, et al.. (2024). Taxonomy of purposes, methods, and recommendations for vulnerability analysis. Environmental Modelling & Software. 183. 106269–106269. 1 indexed citations
4.
Housh, Mashor, et al.. (2024). Conjunctive optimal operation of water and power networks. Heliyon. 10(20). e39136–e39136. 3 indexed citations
5.
Kasprzyk, Joseph, et al.. (2023). Subsampling and space-filling metrics to test ensemble size for robustness analysis with a demonstration in the Colorado River Basin. Environmental Modelling & Software. 172. 105933–105933. 4 indexed citations
6.
Kasprzyk, Joseph, et al.. (2023). Interactive and Multimetric Robustness Tradeoffs in the Colorado River Basin. Journal of Water Resources Planning and Management. 150(3). 7 indexed citations
7.
Kasprzyk, Joseph & Margaret Garcia. (2023). Guiding Questions for Water Resources Systems Analysis Research. Journal of Water Resources Planning and Management. 149(8). 1 indexed citations
8.
Kasprzyk, Joseph, et al.. (2023). Balancing cost, water, emissions, and reliability in power systems operations. Environmental Research Letters. 19(1). 14035–14035. 1 indexed citations
9.
Livneh, Ben, et al.. (2022). Evaluation of a new observationally based channel parameterization for the National Water Model. Hydrology and earth system sciences. 26(23). 6121–6136. 12 indexed citations
10.
Rosenberg, David E., Yves Filion, Samuel Sandoval-Solís, et al.. (2020). The Next Frontier: Making Research More Reproducible. Journal of Water Resources Planning and Management. 146(6). 23 indexed citations
11.
Kasprzyk, Joseph, et al.. (2019). Parasol: an open source, interactive parallel coordinates library for multi-objective decision making. Environmental Modelling & Software. 116. 153–163. 22 indexed citations
12.
Barnhart, Brad, Heather E. Golden, Joseph Kasprzyk, et al.. (2018). Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges. Environmental Modelling & Software. 109. 368–379. 29 indexed citations
13.
Rosenberg, David E., Meghna Babbar‐Sebens, Jonathan D. Herman, et al.. (2017). More Integrated Formal Education and Practice in Water Resources Systems Analysis. Journal of Water Resources Planning and Management. 143(12). 6 indexed citations
14.
Kasprzyk, Joseph, et al.. (2017). Incorporating deeply uncertain factors into the many objective search process. Environmental Modelling & Software. 89. 159–171. 61 indexed citations
15.
Smith, Robert L., et al.. (2016). Producing regionally-relevant multiobjective tradeoffs to engage with Colorado water managers. AGUFM. 2016. 1 indexed citations
16.
Neupauer, R. M., et al.. (2016). Optimal design of active spreading systems to remediate sorbing groundwater contaminants in situ. Journal of Contaminant Hydrology. 190. 29–43. 13 indexed citations
17.
Livneh, Ben, et al.. (2016). Exploring snow model parameter sensitivity using Sobol' variance decomposition. Environmental Modelling & Software. 89. 144–158. 23 indexed citations
18.
Matrosov, Evgenii S., et al.. (2015). Many-objective optimization and visual analytics reveal key trade-offs for London’s water supply. Journal of Hydrology. 531. 1040–1053. 102 indexed citations
19.
Smith, Rebecca, Joseph Kasprzyk, & Edith Zagona. (2013). Combining Interactive Infrastructure Modeling and Evolutionary Algorithm Optimization for Sustainable Water Resources Design. AGUFM. 2013. 1 indexed citations
20.
Matrosov, Evgenii S., et al.. (2013). A Many-Objective Optimization of Supply and Demand Management Options for the Thames Basin. EGU General Assembly Conference Abstracts. 1 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.

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