Hugo A. Loáiciga

8.2k total citations
283 papers, 6.2k citations indexed

About

Hugo A. Loáiciga is a scholar working on Ocean Engineering, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Hugo A. Loáiciga has authored 283 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Ocean Engineering, 149 papers in Water Science and Technology and 85 papers in Environmental Engineering. Recurrent topics in Hugo A. Loáiciga's work include Water resources management and optimization (145 papers), Hydrology and Watershed Management Studies (84 papers) and Water-Energy-Food Nexus Studies (67 papers). Hugo A. Loáiciga is often cited by papers focused on Water resources management and optimization (145 papers), Hydrology and Watershed Management Studies (84 papers) and Water-Energy-Food Nexus Studies (67 papers). Hugo A. Loáiciga collaborates with scholars based in United States, Iran and China. Hugo A. Loáiciga's co-authors include Omid Bozorg‐Haddad, Parisa‐Sadat Ashofteh, Miguel A. Mariño, Juan B. Valdés, I. S. Zektser, Roy B. Leipnik, Mahsa Jahandideh‐Tehrani, Mohammad Solgi, Mahyar Aboutalebi and David R. Maidment and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Hugo A. Loáiciga

274 papers receiving 5.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugo A. Loáiciga United States 40 2.9k 2.4k 1.7k 1.6k 1.3k 283 6.2k
Mohammad Reza Nikoo Iran 37 1.6k 0.5× 1.4k 0.6× 1.1k 0.7× 1.4k 0.8× 918 0.7× 263 4.7k
Francesca Pianosi United Kingdom 34 2.0k 0.7× 1.2k 0.5× 1.7k 1.0× 1.2k 0.7× 904 0.7× 97 5.0k
Marnik Vanclooster Belgium 47 1.5k 0.5× 1.7k 0.7× 967 0.6× 3.1k 1.9× 1.9k 1.5× 254 6.6k
Pan Liu China 49 4.2k 1.4× 2.9k 1.2× 2.9k 1.8× 1.1k 0.7× 1.3k 1.1× 428 8.6k
‪Mohammad Karamouz Iran 36 1.8k 0.6× 1.7k 0.7× 1.6k 0.9× 1.2k 0.7× 1.1k 0.8× 182 4.0k
Alexander Y. Sun United States 45 1.5k 0.5× 1.3k 0.6× 1.9k 1.1× 2.1k 1.3× 392 0.3× 140 6.0k
Guangtao Fu United Kingdom 49 3.4k 1.2× 1.7k 0.7× 3.1k 1.9× 3.2k 1.9× 2.3k 1.8× 196 8.7k
Miguel A. Mariño United States 54 3.6k 1.2× 4.4k 1.8× 1.2k 0.7× 2.3k 1.4× 3.3k 2.6× 282 8.2k
Manuel Pulido-Velázquez Spain 33 2.9k 1.0× 2.5k 1.1× 1.2k 0.7× 822 0.5× 413 0.3× 113 4.6k
Patrick M. Reed United States 60 5.5k 1.9× 5.5k 2.3× 3.4k 2.0× 2.5k 1.5× 2.8k 2.2× 210 11.3k

Countries citing papers authored by Hugo A. Loáiciga

Since Specialization
Citations

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

Fields of papers citing papers by Hugo A. Loáiciga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo A. Loáiciga. 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 Hugo A. Loáiciga. The network helps show where Hugo A. Loáiciga may publish in the future.

Co-authorship network of co-authors of Hugo A. Loáiciga

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo A. Loáiciga. A scholar is included among the top collaborators of Hugo A. Loáiciga 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 Hugo A. Loáiciga. Hugo A. Loáiciga 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.
Bozorg‐Haddad, Omid, et al.. (2025). A disaggregated system dynamics and agent-based modeling of the water-energy-food nexus for optimizing water allocation. Scientific Reports. 15(1). 34973–34973.
2.
Zhang, Huihui, Hugo A. Loáiciga, & Tobias Sauter. (2024). A Novel Fusion-Based Methodology for Drought Forecasting. Remote Sensing. 16(5). 828–828. 8 indexed citations
3.
Bozorg‐Haddad, Omid, et al.. (2024). Estimating the riverine environmental water demand under climate change with data mining models. Natural Hazards. 120(12). 11451–11464. 1 indexed citations
4.
Zhang, Huihui, et al.. (2024). Assessing the impact of extreme climate events on European gross primary production. Agricultural and Forest Meteorology. 362. 110374–110374. 4 indexed citations
5.
Bozorg‐Haddad, Omid, et al.. (2023). A framework for the forensic-engineering assessment of reservoir operation during floods based on a new standard operation policy. Journal of Hydrology. 624. 129774–129774. 6 indexed citations
6.
Abdi, Babak, Omid Bozorg‐Haddad, & Hugo A. Loáiciga. (2023). International Water Comprehensive Organization (IWCO): Creating alliances for improved water management and solving water conflicts. AQUA - Water Infrastructure Ecosystems and Society. 72(4). 465–478. 5 indexed citations
7.
Loáiciga, Hugo A., et al.. (2023). Groundwater for People and the Environment: A Globally Threatened Resource. Ground Water. 62(3). 332–340. 15 indexed citations
8.
Ashofteh, Parisa‐Sadat, et al.. (2023). Development of the FA-KNN hybrid algorithm and its application to reservoir operation. Theoretical and Applied Climatology. 155(2). 1261–1280. 9 indexed citations
9.
Zhang, Huihui, et al.. (2021). Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models. ISPRS International Journal of Geo-Information. 10(3). 186–186. 12 indexed citations
10.
Zheng, Gang, et al.. (2020). Long-term groundwater level changes and land subsidence in Tianjin, China. Acta Geotechnica. 16(4). 1303–1314. 27 indexed citations
11.
Bozorg‐Haddad, Omid, et al.. (2015). Closure of "Assimilative Capacity and Flow Dilution for Water Quality Protection in Rivers". Journal of Hazardous Toxic and Radioactive Waste. 19(3). 2 indexed citations
12.
Hou, Dibo, et al.. (2014). A real-time, dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents. Environmental Science and Pollution Research. 21(14). 8878–8892. 33 indexed citations
13.
Loáiciga, Hugo A.. (2009). Long-term Climatic Change and Sustainable Groundwater Resources Management. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
14.
Loáiciga, Hugo A., et al.. (2009). Assessment of Seawater Intrusion Potential From Sea-level Rise in Coastal Aquifers of California. eScholarship (California Digital Library). 258(5087). 1419–1419. 1 indexed citations
15.
Loáiciga, Hugo A., et al.. (2005). Flooding-cycle analysis in wetlands with negligible overland drainage.. eScholarship (California Digital Library). 122–129. 1 indexed citations
16.
Clark, Jordan F., et al.. (2001). Hydrogeological study and modeling of the Kern Water Bank. eScholarship (California Digital Library). 1 indexed citations
17.
Loáiciga, Hugo A.. (1992). Probability and Climatology of Droughts in the Western United States. 119–129. 1 indexed citations
18.
Loáiciga, Hugo A.. (1991). Statistical Analysis of Ground Water Quality Data. 864–869. 1 indexed citations
19.
Loáiciga, Hugo A. & Miguel A. Mariño. (1986). Estimation and Inference in the Inverse Problem. 973–980. 2 indexed citations
20.
Loáiciga, Hugo A. & Miguel A. Mariño. (1986). On solution of the inverse problem for confined aquifer flow via maximum likelihood. Mathematical Geology. 18(7). 677–692. 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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