Eduardo Mariano‐Neto

2.4k total citations
63 papers, 1.4k citations indexed

About

Eduardo Mariano‐Neto is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Eduardo Mariano‐Neto has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Global and Planetary Change, 29 papers in Nature and Landscape Conservation and 19 papers in Ecology. Recurrent topics in Eduardo Mariano‐Neto's work include Ecology and Vegetation Dynamics Studies (27 papers), Plant and animal studies (14 papers) and Conservation, Biodiversity, and Resource Management (13 papers). Eduardo Mariano‐Neto is often cited by papers focused on Ecology and Vegetation Dynamics Studies (27 papers), Plant and animal studies (14 papers) and Conservation, Biodiversity, and Resource Management (13 papers). Eduardo Mariano‐Neto collaborates with scholars based in Brazil, Taiwan and Australia. Eduardo Mariano‐Neto's co-authors include Deborah Faria, José Carlos Morante‐Filho, Jonathan R. Rhodes, Daniela Custódio Talora, Júlio Baumgarten, Eliana Cazetta, Larissa Rocha‐Santos, Mateus Luís Barradas Paciência, Michaele S. Pessoa and Pedro Luís Bernardo da Rocha and has published in prestigious journals such as PLoS ONE, Chemosphere and Biological Conservation.

In The Last Decade

Eduardo Mariano‐Neto

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Mariano‐Neto Brazil 19 705 596 567 478 235 63 1.4k
Simon P. Hart Switzerland 18 611 0.9× 445 0.7× 319 0.6× 601 1.3× 242 1.0× 28 1.4k
José Carlos Morante‐Filho Brazil 16 621 0.9× 448 0.8× 381 0.7× 366 0.8× 253 1.1× 47 981
Mario González‐Espinosa Mexico 24 909 1.3× 499 0.8× 643 1.1× 473 1.0× 251 1.1× 63 1.8k
Daniela Custódio Talora Brazil 14 731 1.0× 433 0.7× 318 0.6× 835 1.7× 234 1.0× 34 1.5k
Cláudia Baider Mauritius 21 559 0.8× 464 0.8× 263 0.5× 634 1.3× 164 0.7× 69 1.5k
Judy Loo Italy 21 553 0.8× 413 0.7× 463 0.8× 355 0.7× 141 0.6× 50 1.7k
Ian May United Kingdom 5 485 0.7× 334 0.6× 447 0.8× 300 0.6× 174 0.7× 7 1.1k
Carlos Martorell Mexico 22 726 1.0× 396 0.7× 328 0.6× 606 1.3× 174 0.7× 76 1.5k
Norbert J. Cordeiro United States 19 1.2k 1.7× 906 1.5× 504 0.9× 877 1.8× 427 1.8× 52 2.0k
Luiz Fernando Silva Magnago Brazil 20 994 1.4× 430 0.7× 685 1.2× 453 0.9× 225 1.0× 44 1.6k

Countries citing papers authored by Eduardo Mariano‐Neto

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Mariano‐Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Mariano‐Neto. 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 Eduardo Mariano‐Neto. The network helps show where Eduardo Mariano‐Neto may publish in the future.

Co-authorship network of co-authors of Eduardo Mariano‐Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Mariano‐Neto. A scholar is included among the top collaborators of Eduardo Mariano‐Neto 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 Eduardo Mariano‐Neto. Eduardo Mariano‐Neto 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.
Rocha‐Santos, Larissa, Eduardo Mariano‐Neto, Götz Schroth, et al.. (2025). High-yield potential of carbon and biodiversity-rich cocoa agroforests in Bahia, Brazil. Agroforestry Systems. 100(1).
2.
Bovendorp, Ricardo S., Eduardo Mariano‐Neto, Alan de Queiroz, & Deborah Faria. (2025). Landscape Composition and Forest Structure Shape Phyllostomid Bat Assemblages in the Atlantic Forest Remnants. Animals. 15(14). 2082–2082.
3.
Faria, Deborah, Eduardo Mariano‐Neto, Regina Helena Rosa Sambuichi, & Larissa Rocha‐Santos. (2025). Estimating Carbon Acquisition in a Shade Cocoa Plantation in Southern Bahia, Brazil. Forests. 16(6). 929–929.
4.
Ferreira, Aluane Silva, Carlos A. Peres, Pavel Dodonov, et al.. (2025). Mammals in cacao agroforests: Implications of management intensification in two contrasting landscapes. Agriculture Ecosystems & Environment. 383. 109512–109512. 2 indexed citations
5.
Pinho, Bruno X., Felipe P. L. Melo, Cajo J. F. ter Braak, et al.. (2024). Winner–loser plant trait replacements in human-modified tropical forests. Nature Ecology & Evolution. 9(2). 282–295. 7 indexed citations
6.
Mielke, Marcelo Schramm, et al.. (2024). Interactions between Forest Cover and Watershed Hydrology: A State-of-the-Art Review. Preprints.org.
7.
8.
Vasconcelos, Rodrigo Nogueira de, et al.. (2024). Machine Learning Model Reveals Land Use and Climate’s Role in Amazon Wildfires: Present and Future Scenarios. Fire. 7(10). 338–338. 4 indexed citations
9.
Rocha‐Santos, Larissa, Deborah Faria, Eduardo Mariano‐Neto, et al.. (2023). Taxonomic, phylogenetic and functional responses of plant communities in different life-stages to forest cover loss. Perspectives in Ecology and Conservation. 21(2). 136–142. 4 indexed citations
10.
Magalhães, Wagner F., et al.. (2023). Taxonomical and functional analyses of epifaunal polychaetes associated with Mussismilia spp.: the effects of coral growth morphology. PeerJ. 11. e15144–e15144. 1 indexed citations
11.
Faria, Deborah, José Carlos Morante‐Filho, Júlio Baumgarten, et al.. (2023). The breakdown of ecosystem functionality driven by deforestation in a global biodiversity hotspot. Biological Conservation. 283. 110126–110126. 45 indexed citations
12.
13.
Cruz, Igor Cristino Silva, et al.. (2019). Structure of marginal coral reef assemblages under different turbidity regime. Marine Environmental Research. 147. 138–148. 37 indexed citations
14.
Mariano‐Neto, Eduardo, et al.. (2019). Changes in fine-scale spatial genetic structure related to protection status in Atlantic Rain Forest fragment. Journal for Nature Conservation. 53. 125784–125784. 4 indexed citations
15.
Vasconcelos, Rodrigo Nogueira de, et al.. (2018). The role of Eucalyptus planted forests for fruit-feeding butterflies' conservation in fragmented areas of the Brazilian Atlantic forest. Forest Ecology and Management. 432. 115–120. 8 indexed citations
16.
Santos, Bráulio Almeida, Víctor Arroyo‐Rodríguez, Felipe P. L. Melo, et al.. (2018). Phylogenetic dimension of tree communities reveals high conservation value of disturbed tropical rain forests. Diversity and Distributions. 24(6). 776–790. 14 indexed citations
17.
Vasconcelos, Rodrigo Nogueira de, et al.. (2017). Positive forestry: The effect of rubber tree plantations on fruit feeding butterfly assemblages in the Brazilian Atlantic forest. Forest Ecology and Management. 397. 150–156. 14 indexed citations
18.
Mariano‐Neto, Eduardo, et al.. (2014). Development of microsatellite primers for Melanoxylon brauna (Fabaceae): an endangered and endemic tree from the Brazilian Atlantic Forest. Conservation Genetics Resources. 7(1). 65–68. 4 indexed citations
19.
20.
El-Hani, Charbel Niño, et al.. (2013). The restoration concept in the scientific literature and in the Brazilian law. 1(1). 43–56. 2 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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