D. de C. Victoria

1.4k total citations
71 papers, 987 citations indexed

About

D. de C. Victoria is a scholar working on Ecology, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, D. de C. Victoria has authored 71 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 23 papers in Global and Planetary Change and 19 papers in Water Science and Technology. Recurrent topics in D. de C. Victoria's work include Remote Sensing in Agriculture (20 papers), Geography and Environmental Studies (13 papers) and Plant Water Relations and Carbon Dynamics (10 papers). D. de C. Victoria is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Geography and Environmental Studies (13 papers) and Plant Water Relations and Carbon Dynamics (10 papers). D. de C. Victoria collaborates with scholars based in Brazil, United States and France. D. de C. Victoria's co-authors include A. C. Coutinho, M. O. Hunter, Douglas C. Morton, Michael Keller, Jude Kastens, J. Christopher Brown, Christopher R. Bishop, Édson Luís Bolfe, Ieda Del’Arco Sanches and Ricardo Yassushi Inamasu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

D. de C. Victoria

65 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. de C. Victoria Brazil	15	434	352	265	196	188	71	987
Édson Luís Bolfe Brazil	15	395 0.9×	406 1.2×	204 0.8×	204 1.0×	155 0.8×	79	1.1k
Júlio César Brazil	12	442 1.0×	462 1.3×	162 0.6×	167 0.9×	93 0.5×	58	935
A. C. Coutinho Brazil	13	557 1.3×	545 1.5×	202 0.8×	157 0.8×	90 0.5×	33	1.0k
Piotr Wężyk Poland	17	319 0.7×	356 1.0×	542 2.0×	129 0.7×	236 1.3×	93	1.0k
Ritvik Sahajpal United States	17	345 0.8×	622 1.8×	233 0.9×	180 0.9×	98 0.5×	43	1.5k
Péter Szilassi Hungary	17	273 0.6×	408 1.2×	186 0.7×	165 0.8×	109 0.6×	45	997
Cláudio Almeida Brazil	15	507 1.2×	566 1.6×	258 1.0×	71 0.4×	124 0.7×	41	1.2k
Nathaniel K. Newlands Canada	19	407 0.9×	339 1.0×	189 0.7×	325 1.7×	92 0.5×	56	1.1k
Anthony M. Filippi United States	18	435 1.0×	551 1.6×	248 0.9×	60 0.3×	126 0.7×	40	1.2k
Burak K. Pekin United States	15	587 1.4×	508 1.4×	154 0.6×	77 0.4×	175 0.9×	24	1.2k

Countries citing papers authored by D. de C. Victoria

Since Specialization

Citations

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

Fields of papers citing papers by D. de C. Victoria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. de C. Victoria. 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 D. de C. Victoria. The network helps show where D. de C. Victoria may publish in the future.

Co-authorship network of co-authors of D. de C. Victoria

This figure shows the co-authorship network connecting the top 25 collaborators of D. de C. Victoria. A scholar is included among the top collaborators of D. de C. Victoria 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 D. de C. Victoria. D. de C. Victoria 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

Cuadra, Santiago Vianna, D. de C. Victoria, Fabiani Denise Bender, et al.. (2025). Application of High-Resolution Regional Climate Model Simulations for Crop Yield Estimation in Southern Brazil. AgriEngineering. 7(4). 108–108. 1 indexed citations

Bolfe, Édson Luís, et al.. (2024). Potential for Agricultural Expansion in Degraded Pasture Lands in Brazil Based on Geospatial Databases. Land. 13(2). 200–200. 20 indexed citations

Cuadra, Santiago Vianna, Rubens Augusto Camargo Lamparelli, Osvaldo Cabral, et al.. (2024). Modeling sugarcane development and growth within ECOSMOS biophysical model. European Journal of Agronomy. 154. 127061–127061. 4 indexed citations

Bolfe, Édson Luís, Edson Eyji Sano, G. M. Bettiol, et al.. (2023). Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2. ISPRS International Journal of Geo-Information. 12(7). 263–263. 16 indexed citations

Sano, Edson Eyji, Édson Luís Bolfe, G. M. Bettiol, et al.. (2023). Estimating Double Cropping Plantations in the Brazilian Cerrado through PlanetScope Monthly Mosaics. Land. 12(3). 581–581. 11 indexed citations

Silva, Ramón, D. de C. Victoria, Andrés Viña, et al.. (2023). Slow-down of deforestation following a Brazilian forest policy was less effective on private lands than in all conservation areas. Communications Earth & Environment. 4(1). 16 indexed citations

Bolfe, Édson Luís, Michel Eustáquio Dantas Chaves, Ieda Del’Arco Sanches, et al.. (2022). Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data. Remote Sensing. 14(15). 3736–3736. 15 indexed citations

Sano, Edson Eyji, Roberto Rosa, Carlos Alberto de Mattos Scaramuzza, et al.. (2019). Land use dynamics in the Brazilian Cerrado in the period from 2002 to 2013. Pesquisa Agropecuária Brasileira. 54. 44 indexed citations

Bolfe, Édson Luís, et al.. (2017). MATOPIBA: análise do uso da terra e a produção agrícola.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

10.

Bolfe, Édson Luís, et al.. (2016). Matopiba em crescimento agrícola Aspectos territoriais e socioeconômicos. Revista de Política Agrícola. 25(4). 38–62. 10 indexed citations

11.

Teixeira, A. H. de C., et al.. (2016). Sugarcane Water Productivity Assessments in the São Paulo state, Brazil. Americanae (AECID Library). 6(0). 84–84. 11 indexed citations

12.

Teixeira, A. H. de C., et al.. (2015). Use of MODIS Images to Quantify the Radiation and Energy Balances in the Brazilian Pantanal. Remote Sensing. 7(11). 14597–14619. 21 indexed citations

13.

Nogueira, S. F., M. C. M. Macedo, René Poccard-Chapuis, et al.. (2014). Geotechnologies for monitoring pasture degradation levels in Brazil.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations

14.

Shiratsuchi, Luciano Shozo, et al.. (2014). Sensoriamento remoto: conceitos básicos e aplicações na agricultura de precisão.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4 indexed citations

15.

Hunter, M. O., Michael Keller, D. de C. Victoria, & Douglas C. Morton. (2013). Tree height and tropical forest biomass estimation. Biogeosciences. 10(12). 8385–8399. 170 indexed citations

16.

Leivas, Janice Freitas, et al.. (2013). SPECTRAL RESPONSE VARIATIONS AS INDICATORS OF SEASONAL FLOODS IN PANTANAL USING SPOT-VEGETATION TIME SERIES. Americanae (AECID Library). 38(38). 123–138. 1 indexed citations

17.

Victoria, D. de C., et al.. (2012). SOMABRASIL: Sistema de Observação e Monitoramento da Agricultura no Brasil.. infoteca-e (Brazilian Agricultural Research Corporation). 1 indexed citations

18.

Vicente, L. E., et al.. (2012). Interpretação de alvos a partir de imagens de satélite de média resolução espacial.. 1 indexed citations

19.

Victoria, D. de C., Ricardo Guimarães Andrade, & Adriano Rolim da Paz. (2009). SÉRIE TEMPORAL DE IMAGENS EVI/MODIS PARA DISCRIMINAÇÃO DE FORMAÇÕES VEGETAIS DO PANTANAL. Geografia (Rio Claro). 34. 721–729. 4 indexed citations

20.

Victoria, D. de C., et al.. (2008). Delimitação de áreas de preservação permanente em topos de morros para o território brasileiro.. 2(2). 66–72. 6 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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