Carlos Lima

1.2k total citations
39 papers, 872 citations indexed

About

Carlos Lima is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Carlos Lima has authored 39 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 19 papers in Water Science and Technology and 8 papers in Ocean Engineering. Recurrent topics in Carlos Lima's work include Climate variability and models (20 papers), Hydrology and Drought Analysis (17 papers) and Hydrology and Watershed Management Studies (15 papers). Carlos Lima is often cited by papers focused on Climate variability and models (20 papers), Hydrology and Drought Analysis (17 papers) and Hydrology and Watershed Management Studies (15 papers). Carlos Lima collaborates with scholars based in Brazil, United States and South Korea. Carlos Lima's co-authors include Upmanu Lall, Hyun‐Han Kwon, Amir AghaKouchak, Tara J. Troy, Naresh Devineni, Jin‐Young Kim, Charlotte Love, Linyin Cheng, Farshid Vahedifard and Elisa Ragno and has published in prestigious journals such as Journal of Climate, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Carlos Lima

36 papers receiving 851 citations

Peers

Carlos Lima

GPC

WST

Schalk Jan van Andel Netherlands

P. F. Rasmussen Canada

Fitsum Woldemeskel Australia

Tao-Chang Yang Taiwan

Fuliang Yu China

Tirthankar Roy United States

Mingwei Ma China

Kabir Rasouli Canada

Saleem A. Salman Malaysia

Vivek Gupta India

Schalk Jan van Andel Netherlands

Carlos Lima

540 ×0.8

GPC

416 ×1.1

WST

234 ×0.9

193 ×1.4

78 ×1.3

Citations per year, relative to Carlos Lima Carlos Lima (= 1×) peers Schalk Jan van Andel

Countries citing papers authored by Carlos Lima

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Lima

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

All Works

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20 of 20 papers shown

Lima, Carlos. (2025). MITIGATING AND ADAPTING TO CLIMATE CHANGE. 5(4). 1–26.

Olivares, Rubén, et al.. (2024). Hydrogeochemical assessment of groundwater in transboundary aquifers along the US-Mexico border and drinking water quality implications for Texas colonias. Groundwater for Sustainable Development. 27. 101377–101377. 1 indexed citations

Oliveira, Paulo Tarso Sanches de, Carlos Lima, Mijael Rodrigo Vargas Godoy, et al.. (2024). Escalating threat of human-perceived heatwaves in Brazil. Environmental Research Communications. 6(11). 111004–111004. 1 indexed citations

Lima, Carlos, et al.. (2023). Enhancing monthly streamflow forecasting for Brazilian hydropower plants through climate index integration with stochastic methods. Revista Brasileira de Recursos Hídricos. 28. 2 indexed citations

Kwon, Hyun‐Han, et al.. (2022). A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration. Agricultural Water Management. 275. 108038–108038. 20 indexed citations

Lima, Carlos, et al.. (2022). The Brazilian National System for Water and Sanitation Data (SNIS): Providing information on a municipal level on water and sanitation services. Journal of Urban Management. 11(4). 530–542. 10 indexed citations

Lima, Carlos, et al.. (2022). Sparse Canonical Correlation Analysis Postprocessing Algorithms for GCM Daily Rainfall Forecasts. Journal of Hydrometeorology. 23(11). 1705–1718. 2 indexed citations

Kwon, Hyun‐Han, et al.. (2021). A Novel Spatial Downscaling Approach for Climate Change Assessment in Regions With Sparse Ground Data Networks. Geophysical Research Letters. 48(22). 8 indexed citations

Lima, Carlos, et al.. (2021). A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecasts. Journal of Hydrology. 599. 126317–126317. 5 indexed citations

10.

Lima, Carlos, et al.. (2020). Kriging Approach to Quantile Delta Mapping (QDM) for Spatial Downscaling of Climate Change Scenario. 2 indexed citations

11.

Wu, Yenan, Upmanu Lall, Carlos Lima, & Ping‐an Zhong. (2018). Local and regional flood frequency analysis based on hierarchicalBayesian model: application to annual maximum streamflow for theHuaihe River basin. Biogeosciences (European Geosciences Union). 8 indexed citations

12.

Ragno, Elisa, Amir AghaKouchak, Charlotte Love, et al.. (2018). Quantifying Changes in Future Intensity‐Duration‐Frequency Curves Using Multimodel Ensemble Simulations. Water Resources Research. 54(3). 1751–1764. 119 indexed citations

13.

Ragno, Elisa, Amir AghaKouchak, Charlotte Love, et al.. (2017). Intensity - Duration - Frequency Curves for U.S. Cities in a Warming Climate. EGU General Assembly Conference Abstracts. 18246. 1 indexed citations

14.

Lima, Carlos, Amir AghaKouchak, & Upmanu Lall. (2017). Classification of mechanisms, climatic context, areal scaling, and synchronization of floods: the hydroclimatology of floods in the Upper Paraná River basin, Brazil. Earth System Dynamics. 8(4). 1071–1091. 13 indexed citations

15.

Lima, Carlos, Amir AghaKouchak, & James T. Randerson. (2017). Unraveling the Role of Temperature and Rainfall on Active Fires in the Brazilian Amazon Using a Nonlinear Poisson Model. Journal of Geophysical Research Biogeosciences. 123(1). 117–128. 21 indexed citations

16.

Lima, Carlos, et al.. (2016). Identification of structural breaks in hydrological maxima time series in Paraguay River, Pantanal Region, Brazil.. EGU General Assembly Conference Abstracts. 2 indexed citations

17.

Lima, Carlos, Upmanu Lall, Tara J. Troy, & Naresh Devineni. (2015). A climate informed model for nonstationary flood risk prediction: Application to Negro River at Manaus, Amazonia. Journal of Hydrology. 522. 594–602. 70 indexed citations

18.

Troy, Tara J., Naresh Devineni, Carlos Lima, & Upmanu Lall. (2013). Moving towards a new paradigm for global flood risk estimation. EGUGA.

19.

Lima, Carlos & Upmanu Lall. (2009). Nonstationary Scaling of Annual Maximum Floods using Hierarchical Bayesian Modeling and large Scale Climate Information. AGU Fall Meeting Abstracts. 2009. 2 indexed citations

20.

Lima, Carlos, Upmanu Lall, & Francisco Assis Souza Filho. (2006). Influences of ENSO Events on the Hydropower Production in Brazil. AGU Fall Meeting Abstracts. 2006. 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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