Daniel Meira Arruda

605 total citations
22 papers, 315 citations indexed

About

Daniel Meira Arruda is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Daniel Meira Arruda has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nature and Landscape Conservation, 8 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Ecology. Recurrent topics in Daniel Meira Arruda's work include Ecology and Vegetation Dynamics Studies (17 papers), Species Distribution and Climate Change (5 papers) and Plant and animal studies (5 papers). Daniel Meira Arruda is often cited by papers focused on Ecology and Vegetation Dynamics Studies (17 papers), Species Distribution and Climate Change (5 papers) and Plant and animal studies (5 papers). Daniel Meira Arruda collaborates with scholars based in Brazil, United States and Denmark. Daniel Meira Arruda's co-authors include Carlos Ernesto Gonçalves Reynaud Schaefer, Elpídio Inácio Fernandes Filho, Ricardo Solar, Rúbia Santos Fonseca, Márcio Rocha Francelino, Walnir Gomes Ferreira Júnior, Guilherme Resende Corrêa, Priscyla Maria Silva Rodrigues, Ary Teixeira de Oliveira‐Filho and Elpı́dio Inácio Fernandes Filho and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Research Letters.

In The Last Decade

Daniel Meira Arruda

21 papers receiving 311 citations

Peers

Daniel Meira Arruda
Daniel Meira Arruda
Citations per year, relative to Daniel Meira Arruda Daniel Meira Arruda (= 1×) peers Pallieter De Smedt

Countries citing papers authored by Daniel Meira Arruda

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Meira Arruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Meira Arruda. 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 Daniel Meira Arruda. The network helps show where Daniel Meira Arruda may publish in the future.

Co-authorship network of co-authors of Daniel Meira Arruda

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Meira Arruda. A scholar is included among the top collaborators of Daniel Meira Arruda 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 Daniel Meira Arruda. Daniel Meira Arruda 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.
Corrêa, Guilherme Resende, et al.. (2024). Edaphic gradient shapes the structure and composition of vegetation in the forest-cerrado ecotone in north of minas gerais, Brazil. Revista Brasileira de Botânica. 47(4). 1147–1161. 2 indexed citations
2.
Filho, Elpı́dio Inácio Fernandes, Lucas Carvalho Gomes, Daniel Meira Arruda, et al.. (2024). Soil and vegetation types are predisposition factors controlling greenness changes: A shift of paradigm in greening and browning modelling?. Remote Sensing Applications Society and Environment. 36. 101366–101366. 2 indexed citations
3.
Arruda, Daniel Meira, Carlos Ernesto Gonçalves Reynaud Schaefer, Rúbia Santos Fonseca, et al.. (2023). Amazonian vegetation types and indigenous lands threatened by upcoming climate change: Forecast impact for Brazilian biomes. Austral Ecology. 49(1). 3 indexed citations
4.
Arruda, Daniel Meira, Carlos Ernesto Gonçalves Reynaud Schaefer, Rúbia Santos Fonseca, et al.. (2023). Vegetações amazônicas e terras indígenas ameaçadas pelas próximas mudanças climáticas: Previsão de impacto nos biomas brasileiros. Austral Ecology. 49(1). 3 indexed citations
5.
Corrêa, Guilherme Resende, Daniel Meira Arruda, Gustavo Vieira Veloso, et al.. (2023). The Brazilian semiarid region over the past 21,000 years: Vegetation dynamics in small pulses of higher humidity. Ecological Informatics. 77. 102259–102259. 5 indexed citations
6.
Pereira, Cássio Cardoso, et al.. (2022). The importance of pollination and dispersal syndromes for the conservation of Cerrado Rupestre fragments on ironstone outcrops immersed in an agricultural landscape. Neotropical Biology and Conservation. 17(1). 87–102. 2 indexed citations
7.
Arruda, Daniel Meira, et al.. (2021). Soil predictors are crucial for modelling vegetation distribution and its responses to climate change. The Science of The Total Environment. 780. 146680–146680. 25 indexed citations
8.
Arruda, Daniel Meira, et al.. (2020). STRUCTURE AND DIVERSITY OF THE ARBOREAL COMPONENT IN CERRADO SENSU STRICTO IN NORTHERN MINAS GERAIS. FLORESTA. 51(1). 61–61. 1 indexed citations
9.
Arruda, Daniel Meira & Carlos Ernesto Gonçalves Reynaud Schaefer. (2020). Dinâmica climática e biogeográfica do Brasil no Último Máximo Glacial: o estado da arte. Estudos Avançados. 34(98). 187–198. 2 indexed citations
10.
Arruda, Daniel Meira, Luiz Fernando Silva Magnago, Ricardo Solar, et al.. (2019). Soil and climate equally contribute to changes in the species compositions of Brazilian dry forests across 300 km. Journal of Plant Ecology. 13(2). 171–176. 6 indexed citations
11.
Francelino, Márcio Rocha, et al.. (2019). Climate and soils at the Brazilian semiarid and the forest-Caatinga problem: new insights and implications for conservation. Environmental Research Letters. 14(10). 104007–104007. 30 indexed citations
12.
Pereira, Cássio Cardoso, et al.. (2019). Ferruginous Rupestrian Savannah: a floristic and structural analysis of these rare environments. Neotropical Biology and Conservation. 14(4). 381–397. 3 indexed citations
13.
Arruda, Daniel Meira, Elpídio Inácio Fernandes Filho, Ricardo Solar, & Carlos Ernesto Gonçalves Reynaud Schaefer. (2017). Combining climatic and soil properties better predicts covers of Brazilian biomes. Die Naturwissenschaften. 104(3-4). 32–32. 39 indexed citations
14.
Arruda, Daniel Meira, Carlos Ernesto Gonçalves Reynaud Schaefer, Rúbia Santos Fonseca, Ricardo Solar, & Elpídio Inácio Fernandes Filho. (2017). Vegetation cover of Brazil in the last 21 ka: New insights into the Amazonian refugia and Pleistocenic arc hypotheses. Global Ecology and Biogeography. 27(1). 47–56. 77 indexed citations
16.
Arruda, Daniel Meira, et al.. (2015). Relações entre Atributos do Solo e Vegetações da Região Ecotonal do Médio Rio São Francisco, Brasil. Revista Brasileira de Ciência do Solo. 39(6). 1524–1532. 6 indexed citations
17.
Arruda, Daniel Meira, Diego Oliveira Brandão, Maria das Dores Magalhães Veloso, & Yule Roberta Ferreira Nunes. (2015). Germinação de sementes de três espécies de Fabaceae típicas de floresta estacional decidual. SHILAP Revista de lepidopterología. 35(82). 135–135. 6 indexed citations
18.
Arruda, Daniel Meira, et al.. (2015). Landforms and soil attributes determine the vegetation structure in the Brazilian semiarid. Folia Geobotanica. 50(3). 175–184. 44 indexed citations
19.
Arruda, Daniel Meira, et al.. (2013). Phytogeographical patterns of dry forests sensu stricto in northern Minas Gerais State, Brazil. Anais da Academia Brasileira de Ciências. 85(2). 623–634. 36 indexed citations
20.

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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