Brian W. Baetz

5.2k total citations · 1 hit paper
121 papers, 4.3k citations indexed

About

Brian W. Baetz is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Brian W. Baetz has authored 121 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Environmental Engineering, 30 papers in Water Science and Technology and 29 papers in Global and Planetary Change. Recurrent topics in Brian W. Baetz's work include Water resources management and optimization (26 papers), Municipal Solid Waste Management (21 papers) and Hydrology and Watershed Management Studies (21 papers). Brian W. Baetz is often cited by papers focused on Water resources management and optimization (26 papers), Municipal Solid Waste Management (21 papers) and Hydrology and Watershed Management Studies (21 papers). Brian W. Baetz collaborates with scholars based in Canada, China and United States. Brian W. Baetz's co-authors include Guohe Huang, Gilles G. Patry, Yiping Guo, Lirong Liu, Shuo Wang, Kaiqiang Zhang, Charley Huang, Yongping Li, Zhong Li and Matthew J. Roorda and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Water Research and Journal of Cleaner Production.

In The Last Decade

Brian W. Baetz

119 papers receiving 4.2k citations

Hit Papers

A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WA... 1992 2026 2003 2014 1992 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
Brian W. Baetz Canada 34 1.9k 1.5k 837 835 798 121 4.3k
Xiaosheng Qin Singapore 36 1.3k 0.7× 1.3k 0.8× 817 1.0× 433 0.5× 539 0.7× 150 3.8k
Hongwei Lu China 40 1.3k 0.7× 1.3k 0.9× 1.3k 1.5× 321 0.4× 493 0.6× 153 4.8k
Li He China 36 1.3k 0.7× 1.0k 0.7× 853 1.0× 431 0.5× 464 0.6× 106 3.8k
Ping Guo China 40 2.6k 1.4× 2.5k 1.7× 436 0.5× 544 0.7× 862 1.1× 155 4.7k
Mohammad Reza Nikoo Iran 37 1.4k 0.8× 1.6k 1.0× 1.4k 1.6× 146 0.2× 918 1.2× 263 4.7k
Christos Makropoulos Greece 35 1.2k 0.6× 1.8k 1.2× 1.0k 1.2× 187 0.2× 823 1.0× 183 4.1k
Andrea Castelletti Italy 50 3.5k 1.8× 3.6k 2.4× 1.0k 1.2× 257 0.3× 1.4k 1.7× 225 7.3k
Reza Kerachian Iran 41 2.6k 1.4× 2.2k 1.4× 1.2k 1.4× 99 0.1× 1.1k 1.4× 175 4.6k
Abbas Afshar Iran 41 2.1k 1.1× 1.7k 1.1× 684 0.8× 187 0.2× 1.4k 1.7× 173 4.8k
Guangtao Fu United Kingdom 49 1.7k 0.9× 3.4k 2.3× 3.2k 3.8× 308 0.4× 2.3k 2.8× 196 8.7k

Countries citing papers authored by Brian W. Baetz

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. Baetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian W. Baetz. 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 Brian W. Baetz. The network helps show where Brian W. Baetz may publish in the future.

Co-authorship network of co-authors of Brian W. Baetz

This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Baetz. A scholar is included among the top collaborators of Brian W. Baetz 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 Brian W. Baetz. Brian W. Baetz 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.
Li, Zhong, et al.. (2024). Evapotranspiration Estimation with the Budyko Framework for Canadian Watersheds. Hydrology. 11(11). 191–191. 1 indexed citations
2.
Zheng, Boyue, Lirong Liu, Guohe Huang, et al.. (2024). Sustainable Water Resources Management through Disaggregated Multi-Region Virtual Water Flow and Interaction Analysis. Water Resources Management. 38(14). 5559–5578. 3 indexed citations
3.
4.
Li, Zhong, Brian W. Baetz, Youngseck Hong, et al.. (2022). Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study. Journal of Membrane Science. 660. 120817–120817. 74 indexed citations
5.
Li, Zhong, et al.. (2021). Uncertainty Analysis for Hydrological Models With Interdependent Parameters: An Improved Polynomial Chaos Expansion Approach. Water Resources Research. 57(8). 13 indexed citations
6.
Li, Kailong, et al.. (2021). Development of a Wilks feature importance method with improved variable rankings for supporting hydrological inference and modelling. Hydrology and earth system sciences. 25(9). 4947–4966. 13 indexed citations
8.
Liu, Lirong, Guohe Huang, Brian W. Baetz, Yuru Guan, & Kaiqiang Zhang. (2019). Multi-Dimensional Hypothetical Fuzzy Risk Simulation model for Greenhouse Gas mitigation policy development. Applied Energy. 261. 114348–114348. 14 indexed citations
9.
Zhou, Pengxiao, et al.. (2019). A random forest model for inflow prediction at wastewater treatment plants. Stochastic Environmental Research and Risk Assessment. 33(10). 1781–1792. 94 indexed citations
11.
Wang, Shuo, Brian C. Ancell, Guohe Huang, & Brian W. Baetz. (2018). Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation. Water Resources Research. 54(3). 2129–2151. 49 indexed citations
12.
Li, Zhong, et al.. (2018). Performance of multi-model ensembles for the simulation of temperature variability over Ontario, Canada. Environmental Earth Sciences. 77(13). 25 indexed citations
13.
Guo, Yiping & Brian W. Baetz. (2017). Probabilistic Description of Runoff and Leachate Volumes from Open Windrow Composting Sites. Journal of Environmental Informatics. 30(2). 137–148. 2 indexed citations
14.
Li, Yongping, et al.. (2017). Uncertainty analysis for effluent trading planning using a Bayesian estimation-based simulation-optimization modeling approach. Water Research. 116. 159–181. 26 indexed citations
15.
Wang, Xiuquan, Guohe Huang, & Brian W. Baetz. (2016). Dynamically-downscaled probabilistic projections of precipitation changes: A Canadian case study. Environmental Research. 148. 86–101. 23 indexed citations
16.
Baetz, Brian W., et al.. (2015). A GIS‐based land‐use diversity index model to measure the degree of suburban sprawl. Area. 47(4). 360–375. 7 indexed citations
17.
Li, Yongping, Guohe Huang, & Brian W. Baetz. (2006). Environmental Management Under Uncertainty—An Internal-Parameter Two-Stage Chance-Constrained Mixed Integer Linear Programming Method. Environmental Engineering Science. 23(5). 761–779. 40 indexed citations
18.
Huang, Guohe, Brian W. Baetz, & Gilles G. Patry. (1995). GREY QUADRATIC PROGRAMMING AND ITS APPLICATION TO MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY. Engineering Optimization. 23(3). 201–223. 90 indexed citations
19.
Huang, Guohe, Brian W. Baetz, & Gilles G. Patry. (1994). GREY FUZZY DYNAMIC PROGRAMMING: APPLICATION TO MUNICIPAL SOLID WASTE MANAGEMENT PLANNING PROBLEMS. Civil Engineering Systems. 11(1). 43–73. 58 indexed citations
20.
Baetz, Brian W. & Eric I. Pas. (1988). Optimization modeling for capacity planning of production facilities and alternative facilities with consumable capacity. Mathematical and Computer Modelling. 11. 1069–1072. 3 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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