Tamara Leitzke Caldeira

456 total citations
18 papers, 356 citations indexed

About

Tamara Leitzke Caldeira is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Tamara Leitzke Caldeira has authored 18 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 10 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Tamara Leitzke Caldeira's work include Hydrology and Watershed Management Studies (13 papers), Precipitation Measurement and Analysis (6 papers) and Hydrology and Drought Analysis (6 papers). Tamara Leitzke Caldeira is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Precipitation Measurement and Analysis (6 papers) and Hydrology and Drought Analysis (6 papers). Tamara Leitzke Caldeira collaborates with scholars based in Brazil, United States and China. Tamara Leitzke Caldeira's co-authors include Samuel Beskow, Carlos Rogério de Mello, Luís Carlos Timm, Lessandro Coll Faria, Hugo Alexandre Soares Guedes, Wei Hu, Dongli She, Qian Chen, Marcelo Ribeiro Viola and Marílton Sanchotene de Aguiar and has published in prestigious journals such as Journal of Hydrology, Geoderma and CATENA.

In The Last Decade

Tamara Leitzke Caldeira

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamara Leitzke Caldeira Brazil	11	189	165	107	104	74	18	356
Andrej Vidmar Slovenia	9	117 0.6×	101 0.6×	86 0.8×	81 0.8×	41 0.6×	25	306
Emin C. Dogrul United States	11	231 1.2×	116 0.7×	114 1.1×	53 0.5×	41 0.6×	19	347
P. V. Timbadiya India	11	173 0.9×	304 1.8×	74 0.7×	40 0.4×	70 0.9×	43	405
Changxue Wu China	9	127 0.7×	166 1.0×	57 0.5×	95 0.9×	33 0.4×	16	289
Enhao Du United States	11	240 1.3×	179 1.1×	102 1.0×	102 1.0×	45 0.6×	11	376
Vanita Pandey India	10	129 0.7×	245 1.5×	92 0.9×	92 0.9×	35 0.5×	24	357
Angela Candela Italy	12	299 1.6×	395 2.4×	115 1.1×	47 0.5×	42 0.6×	25	498
Huade Zhu China	7	149 0.8×	82 0.5×	177 1.7×	179 1.7×	71 1.0×	11	389
Nilza Maria dos Reis Castro Brazil	10	201 1.1×	92 0.6×	115 1.1×	110 1.1×	38 0.5×	42	315
C. Jacqueminet France	5	178 0.9×	172 1.0×	163 1.5×	96 0.9×	84 1.1×	14	330

Countries citing papers authored by Tamara Leitzke Caldeira

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Leitzke Caldeira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Leitzke Caldeira. 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 Tamara Leitzke Caldeira. The network helps show where Tamara Leitzke Caldeira may publish in the future.

Co-authorship network of co-authors of Tamara Leitzke Caldeira

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

All Works

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18 of 18 papers shown

Timm, Luís Carlos, et al.. (2020). Identifying regionalized co-variate driving factors to assess spatial distributions of saturated soil hydraulic conductivity using multivariate and state-space analyses. CATENA. 191. 104583–104583. 19 indexed citations

Viola, Marcelo Ribeiro, et al.. (2020). Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model. Water Resources Management. 34(15). 5031–5046. 7 indexed citations

Hu, Wei, Luís Carlos Timm, Dongli She, et al.. (2020). Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses. Journal of soil science and plant nutrition. 20(4). 1686–1702. 23 indexed citations

Beskow, Samuel, et al.. (2019). SYHDA – System of Hydrological Data Acquisition and Analysis. Revista Brasileira de Recursos Hídricos. 24. 6 indexed citations

Faria, Lessandro Coll, Alberto Colombo, Michael D. Dukes, et al.. (2019). Irrigation distribution uniformity analysis on a lateral-move irrigation system. Irrigation Science. 37(2). 195–206. 10 indexed citations

Caldeira, Tamara Leitzke, Carlos Rogério de Mello, Samuel Beskow, Luís Carlos Timm, & Marcelo Ribeiro Viola. (2018). LASH hydrological model: An analysis focused on spatial discretization. CATENA. 173. 183–193. 19 indexed citations

Caldeira, Tamara Leitzke, et al.. (2018). MODELAGEM HIDROLÓGICA DETERMINÍSTICA CHUVA-VAZÃO EM BACIAS HIDROGRÁFICAS: UMA ABORDAGEM INTRODUTÓRIA. 5(1). 22–22. 2 indexed citations

Cassalho, Felício, et al.. (2018). Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil. Ciência e Agrotecnologia. 42(6). 575–587. 19 indexed citations

Beskow, Samuel, et al.. (2018). Geomorphology-based unit hydrograph models for flood risk management: case study in Brazilian watersheds with contrasting physiographic characteristics. Anais da Academia Brasileira de Ciências. 90(2). 1873–1890. 7 indexed citations

10.

Faria, Lessandro Coll, et al.. (2017). IDENTIFICAÇÃO DE ÁREAS IRRIGADAS POR PIVÔ CENTRAL E LINEAR MÓVEL NO ESTADO DO RIO GRANDE DO SUL. Irriga. 22(2). 343–352. 3 indexed citations

11.

Caldeira, Tamara Leitzke, et al.. (2016). DAILY RAINFALL DISAGGREGATION: AN ANALYSIS FOR THE RIO GRANDE DO SUL STATE - DESAGREGAÇÃO DE CHUVA DIÁRIA: UMA ANÁLISE PARA O ESTADO DO RIO GRANDE DO SUL. Scientia Agraria. 16(3). 5 indexed citations

12.

Beskow, Samuel, et al.. (2016). Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions. Journal of Hydrology. 541. 1406–1419. 26 indexed citations

13.

She, Dongli, Qian Chen, Luís Carlos Timm, et al.. (2016). Multi-scale correlations between soil hydraulic properties and associated factors along a Brazilian watershed transect. Geoderma. 286. 15–24. 44 indexed citations

14.

Beskow, Samuel, et al.. (2016). Potential of the LASH model for water resources management in data-scarce basins: a case study of the Fragata River basin, southern Brazil. Hydrological Sciences Journal. 61(14). 2567–2578. 36 indexed citations

15.

Caldeira, Tamara Leitzke, et al.. (2015). DAILY RAINFALL DISAGGREGATION: AN ANALYSIS FOR THE RIO GRANDE DO SUL STATE. Scientia Agraria. 16(3). 1–21. 10 indexed citations

16.

Caldeira, Tamara Leitzke, et al.. (2015). Modelagem probabilística de eventos de precipitação extrema no estado do Rio Grande do Sul. Revista Brasileira de Engenharia Agrícola e Ambiental. 19(3). 197–203. 35 indexed citations

17.

Beskow, Samuel, Tamara Leitzke Caldeira, Carlos Rogério de Mello, Lessandro Coll Faria, & Hugo Alexandre Soares Guedes. (2015). Multiparameter probability distributions for heavy rainfall modeling in extreme southern Brazil. Journal of Hydrology Regional Studies. 4. 123–133. 74 indexed citations

18.

Beskow, Samuel, et al.. (2014). Índices de sazonalidade para regionalização hidrológica de vazões de estiagem no Rio Grande do Sul. Revista Brasileira de Engenharia Agrícola e Ambiental. 18(7). 748–754. 11 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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