Gerald Corzo

1.9k total citations
68 papers, 1.3k citations indexed

About

Gerald Corzo is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Gerald Corzo has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Water Science and Technology, 33 papers in Global and Planetary Change and 26 papers in Environmental Engineering. Recurrent topics in Gerald Corzo's work include Hydrology and Watershed Management Studies (36 papers), Hydrological Forecasting Using AI (20 papers) and Flood Risk Assessment and Management (18 papers). Gerald Corzo is often cited by papers focused on Hydrology and Watershed Management Studies (36 papers), Hydrological Forecasting Using AI (20 papers) and Flood Risk Assessment and Management (18 papers). Gerald Corzo collaborates with scholars based in Netherlands, United States and Russia. Gerald Corzo's co-authors include Dimitri Solomatine, Amin Elshorbagy, S. Srinivasulu, S. Uhlenbrook, Francisco Muñoz‐Arriola, Andréja Jonoski, Pieter van der Zaag, Schalk Jan van Andel, M. Akhtar and H.A.J. van Lanen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Gerald Corzo

65 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Corzo Netherlands 19 819 632 629 162 159 68 1.3k
G. B. Sahoo United States 18 750 0.9× 486 0.8× 359 0.6× 123 0.8× 115 0.7× 34 1.3k
Mehdi Vafakhah Iran 24 899 1.1× 864 1.4× 1.0k 1.6× 241 1.5× 160 1.0× 112 1.9k
Rasoul Mirabbasi Iran 27 831 1.0× 529 0.8× 1.6k 2.5× 332 2.0× 136 0.9× 81 2.1k
Renji Remesan United Kingdom 19 527 0.6× 543 0.9× 626 1.0× 220 1.4× 110 0.7× 52 1.3k
Rawshan Ali Iraq 20 493 0.6× 407 0.6× 749 1.2× 229 1.4× 63 0.4× 29 1.3k
Venkappayya R. Desai India 14 632 0.8× 734 1.2× 1.3k 2.1× 120 0.7× 95 0.6× 28 1.8k
Darshan Mehta India 20 469 0.6× 482 0.8× 688 1.1× 186 1.1× 59 0.4× 60 1.1k
Jong Ahn Chun South Korea 21 589 0.7× 494 0.8× 565 0.9× 147 0.9× 75 0.5× 64 1.4k
Guangyuan Kan China 22 554 0.7× 406 0.6× 858 1.4× 312 1.9× 80 0.5× 54 1.3k
Davar Khalili Iran 24 554 0.7× 295 0.5× 1.0k 1.6× 228 1.4× 222 1.4× 57 1.5k

Countries citing papers authored by Gerald Corzo

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Corzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Corzo

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Corzo. A scholar is included among the top collaborators of Gerald Corzo 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 Gerald Corzo. Gerald Corzo 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.
Corzo, Gerald, et al.. (2025). Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA. Journal of Hydrology. 652. 132195–132195. 3 indexed citations
2.
Melesse, Assefa M., et al.. (2025). Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications.. Journal of Hydrology Regional Studies. 57. 102150–102150. 3 indexed citations
3.
Chen, Jie, et al.. (2025). Combining data augmentation and hybrid modeling approaches for deep learning-based monthly streamflow forecasting. Journal of Hydrology. 659. 133318–133318. 4 indexed citations
4.
Corzo, Gerald, et al.. (2024). Development of a hazard risk map for assessing pedestrian risk in urban flash floods: A case study in Cúcuta, Colombia. SHILAP Revista de lepidopterología. 3(1). 8–23.
5.
Corzo, Gerald, et al.. (2024). Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach. Hydrology research. 55(2). 237–261. 3 indexed citations
6.
Chen, Jie, Gerald Corzo, Chong‐Yu Xu, et al.. (2024). Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions. Water Resources Research. 60(2). 41 indexed citations
7.
8.
Corzo, Gerald, et al.. (2023). Assessing Cavitation Erosion on Solid Surfaces Using a Cavitation Jet Apparatus. Holos. 5(39). 13 indexed citations
9.
Corzo, Gerald, et al.. (2023). Evaluating the impact of ponds on flood and drought mitigation in the Bagmati River Basin, Nepal. Hydrology research. 54(10). 1163–1180. 3 indexed citations
10.
11.
Pianosi, Francesca, et al.. (2020). Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands. Journal of Hydrology. 587. 124957–124957. 34 indexed citations
12.
Dahm, Ruben, et al.. (2019). A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data. Water. 11(2). 313–313. 17 indexed citations
13.
Muñoz‐Arriola, Francisco, et al.. (2019). A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA. Water Resources Research. 55(7). 5941–5961. 34 indexed citations
14.
Corzo, Gerald, et al.. (2017). Chaos Analysis of Precipitation Time Series in the upper Magdalena River Basin. EGUGA. 18496. 1 indexed citations
15.
Angarita, Héctor, et al.. (2016). SimBasin: serious gaming for integrated decision-making in the Magdalena-Cauca basin. EGU General Assembly Conference Abstracts. 2 indexed citations
16.
Minaya, Verónica, Gerald Corzo, Hugo Romero‐Saltos, et al.. (2015). Altitudinal analysis of carbon stocks in the Antisanapáramo, Ecuadorian Andes. Journal of Plant Ecology. 9(5). 553–563. 28 indexed citations
17.
Khosravi, Mohammad, Dimitri Solomatine, Ali Salajegheh, et al.. (2015). Experiments with clustering of catchments in PCA-reduced space and regionalization of a hydrological model (Central Alborz region, Iran). EGUGA. 13686.
18.
Corzo, Gerald & Dimitri Solomatine. (2014). Comparative analysis of conceptual models with error correction, artificial neural networks and committee models. EGUGA. 8898. 2 indexed citations
19.
Corzo, Gerald, et al.. (2009). Ensemble of radar and MM5 precipitation forecast models with M5 model trees.. IAHS-AISH publication. 14–19. 2 indexed citations
20.
Corzo, Gerald & Dimitri Solomatine. (2007). Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting. Neural Networks. 20(4). 528–536. 40 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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