Felipe Quintero

1.0k total citations
46 papers, 673 citations indexed

About

Felipe Quintero is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Felipe Quintero has authored 46 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Water Science and Technology, 36 papers in Global and Planetary Change and 14 papers in Atmospheric Science. Recurrent topics in Felipe Quintero's work include Hydrology and Watershed Management Studies (35 papers), Flood Risk Assessment and Management (31 papers) and Hydrology and Drought Analysis (16 papers). Felipe Quintero is often cited by papers focused on Hydrology and Watershed Management Studies (35 papers), Flood Risk Assessment and Management (31 papers) and Hydrology and Drought Analysis (16 papers). Felipe Quintero collaborates with scholars based in United States, Canada and Colombia. Felipe Quintero's co-authors include Witold F. Krajewski, Ricardo Mantilla, Bong‐Chul Seo, Scott J. Small, Radosław Goska, D. Ceynar, J. J. Niemeier, Larry Weber, Nathan Young and Anton Kruger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Felipe Quintero

42 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Quintero United States 14 527 474 260 168 55 46 673
Manoranjan Muthusamy United Kingdom 11 292 0.6× 233 0.5× 95 0.4× 172 1.0× 51 0.9× 16 473
Ridwan Siddique United States 12 295 0.6× 260 0.5× 166 0.6× 222 1.3× 20 0.4× 17 452
D. L. Blodgett United States 11 399 0.8× 497 1.0× 119 0.5× 252 1.5× 42 0.8× 17 621
Mohit Prakash Mohanty India 14 589 1.1× 300 0.6× 168 0.6× 120 0.7× 27 0.5× 34 657
Guo Yu United States 12 452 0.9× 282 0.6× 164 0.6× 192 1.1× 22 0.4× 24 576
J. Bartholmes Italy 5 771 1.5× 608 1.3× 428 1.6× 154 0.9× 18 0.3× 7 888
Hapu Arachchige Prasantha Hapuarachchi Australia 9 648 1.2× 497 1.0× 273 1.1× 201 1.2× 46 0.8× 14 768
L. Cunha United States 10 290 0.6× 201 0.4× 263 1.0× 120 0.7× 24 0.4× 18 442
Sanjib Sharma United States 13 315 0.6× 239 0.5× 155 0.6× 122 0.7× 24 0.4× 40 465
Xing Zheng United States 8 414 0.8× 337 0.7× 160 0.6× 62 0.4× 95 1.7× 13 497

Countries citing papers authored by Felipe Quintero

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Quintero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Quintero

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Quintero. A scholar is included among the top collaborators of Felipe Quintero 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 Felipe Quintero. Felipe Quintero 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.
Goska, Radosław, et al.. (2025). Is This Rainfall Forecast Good or Bad? For Flood Forecasting, the Answer Is Scale Dependent. Bulletin of the American Meteorological Society. 106(9). E1772–E1793.
2.
Post, R.F., Felipe Quintero, & Witold F. Krajewski. (2024). Forecast-Informed Reservoir Operation within an Actively Managed Distributed Storage Network Using the High-Resolution Rapid Refresh Product. Journal of Water Resources Planning and Management. 151(2).
3.
Quintero, Felipe, et al.. (2023). Projected changes in annual maximum discharge for Iowa communities. Journal of Hydrology. 625. 129957–129957. 3 indexed citations
4.
Villarini, Gabriele, et al.. (2023). Disentangling the Sources of Uncertainties in the Projection of Flood Risk Across the Central United States (Iowa). Geophysical Research Letters. 50(22). 3 indexed citations
5.
Villarini, Gabriele, et al.. (2023). Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa. Water Resources Research. 59(8). 9 indexed citations
6.
Wright, Daniel B., et al.. (2023). Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model. SHILAP Revista de lepidopterología. 18. 100148–100148. 7 indexed citations
7.
Mantilla, Ricardo, et al.. (2023). Applicability of a flood forecasting system for Nebraska watersheds. Environmental Modelling & Software. 164. 105693–105693. 10 indexed citations
8.
Seo, Bong‐Chul, Felipe Quintero, & Witold F. Krajewski. (2023). Hydrologic Assessment of IMERG Products Across Spatial Scales Over Iowa. Journal of Hydrometeorology. 24(6). 997–1015. 4 indexed citations
9.
Post, R.F., Felipe Quintero, & Witold F. Krajewski. (2023). Evaluating the Efficacy of Actively Managed Distributed Storage Systems for Peak Flow Reduction Using Spatially Uniform Design Storms. Journal of Hydrologic Engineering. 28(10). 5 indexed citations
10.
Quintero, Felipe, Gabriele Villarini, Andreas F. Prein, Wei Zhang, & Witold F. Krajewski. (2022). Discharge and floods projected to increase more than precipitation extremes. Hydrological Processes. 36(11). 11 indexed citations
11.
Mantilla, Ricardo, et al.. (2022). Identification and Regionalization of Streamflow Routing Parameters Using Machine Learning for the HLM Hydrological Model in Iowa. Journal of Advances in Modeling Earth Systems. 14(7). 6 indexed citations
12.
Muste, Marian, et al.. (2020). Revisiting hysteresis of flow variables in monitoring unsteady streamflows. Journal of Hydraulic Research. 58(6). 867–887. 24 indexed citations
13.
Quintero, Felipe, et al.. (2020). Development of Synthetic Rating Curves: Case Study in Iowa. Journal of Hydrologic Engineering. 26(1). 13 indexed citations
14.
Quintero, Felipe, et al.. (2020). Analysis of Stage–Discharge Relationship Stability Based on Historical Ratings. Hydrology. 7(2). 31–31. 5 indexed citations
15.
Krajewski, Witold F., Ganesh R. Ghimire, & Felipe Quintero. (2020). Streamflow Forecasting without Models. Journal of Hydrometeorology. 21(8). 1689–1704. 17 indexed citations
16.
Quintero, Felipe. (2018). Nueva Poesía de Colombia (1970-1980). 37–49.
17.
Seo, Bong‐Chul, Felipe Quintero, & Witold F. Krajewski. (2018). High-Resolution QPF Uncertainty and Its Implications for Flood Prediction: A Case Study for the Eastern Iowa Flood of 2016. Journal of Hydrometeorology. 19(8). 1289–1304. 23 indexed citations
18.
Quintero, Felipe, Witold F. Krajewski, Ricardo Mantilla, Scott J. Small, & Bong‐Chul Seo. (2016). A Spatial–Dynamical Framework for Evaluation of Satellite Rainfall Products for Flood Prediction. Journal of Hydrometeorology. 17(8). 2137–2154. 55 indexed citations
19.
Krajewski, Witold F., D. Ceynar, İbrahim Demir, et al.. (2016). Real-Time Flood Forecasting and Information System for the State of Iowa. Bulletin of the American Meteorological Society. 98(3). 539–554. 159 indexed citations
20.
Vélez, Jaime Ignacio, et al.. (2005). Modelo distribuido para determinar la susceptibilidad al deslizamiento superficial por efecto de tormentas intensas y sismos. Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia). 85–96. 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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