Daniel Piotto

8.6k total citations
35 papers, 853 citations indexed

About

Daniel Piotto is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Daniel Piotto has authored 35 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nature and Landscape Conservation, 18 papers in Global and Planetary Change and 10 papers in Ecology. Recurrent topics in Daniel Piotto's work include Forest ecology and management (18 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Conservation, Biodiversity, and Resource Management (9 papers). Daniel Piotto is often cited by papers focused on Forest ecology and management (18 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Conservation, Biodiversity, and Resource Management (9 papers). Daniel Piotto collaborates with scholars based in Brazil, United States and Costa Rica. Daniel Piotto's co-authors include Florencia Montagnini, Markku Kanninen, Dylan Craven, Mark S. Ashton, Chadwick Dearing Oliver, William Wayt Thomas, Stephen Porder, Joy B. Winbourne, Meredith G. Hastings and Justin M. Becknell and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Naturalist.

In The Last Decade

Daniel Piotto

33 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Piotto Brazil 13 546 420 209 130 127 35 853
Flavio Moreno Colombia 11 416 0.8× 438 1.0× 87 0.4× 122 0.9× 76 0.6× 33 745
Christoph Gehring Brazil 14 228 0.4× 249 0.6× 112 0.5× 128 1.0× 173 1.4× 28 633
Francisco Mora Mexico 16 330 0.6× 388 0.9× 98 0.5× 159 1.2× 210 1.7× 48 832
Mila Bristow Australia 14 434 0.8× 391 0.9× 142 0.7× 137 1.1× 243 1.9× 47 853
Tomás A. Easdale New Zealand 12 734 1.3× 468 1.1× 95 0.5× 157 1.2× 104 0.8× 20 976
James B. Friday United States 14 238 0.4× 178 0.4× 86 0.4× 205 1.6× 183 1.4× 39 672
Dethardt Goetze Germany 15 359 0.7× 292 0.7× 223 1.1× 177 1.4× 218 1.7× 23 830
Pedro Manuel Villa Brazil 14 452 0.8× 264 0.6× 79 0.4× 136 1.0× 97 0.8× 77 764
J. do C. A. Lopes Brazil 13 531 1.0× 461 1.1× 223 1.1× 124 1.0× 60 0.5× 31 781
B.M.P. Singhakumara Sri Lanka 16 408 0.7× 338 0.8× 109 0.5× 135 1.0× 141 1.1× 28 652

Countries citing papers authored by Daniel Piotto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Piotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Piotto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Piotto. A scholar is included among the top collaborators of Daniel Piotto 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 Piotto. Daniel Piotto 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.
2.
Resende, Angélica Faria de, Miguel Luiz Menezes Freitas, Mark S. Ashton, et al.. (2025). Novel growth models for three Brazilian native timber species and their applications for timber production and carbon stock assessment. Restoration Ecology. 33(4).
3.
Winbourne, Joy B., Kristen E. Hasenstab‐Lehman, Ashley N. Egan, et al.. (2025). Inga and Lianas Are Key Players in the Tropical Nitrogen Cycle of Brazilian Atlantic Forest: Insights From Linking Rates of Nitrogen Fixation With DNA Barcoding Root Identification. Biotropica. 57(2). 1 indexed citations
4.
Rolim, Samir & Daniel Piotto. (2024). Diameter growth models and performance of 100 tropical tree species in silvicultural trials in Brazil. Forest Ecology and Management. 569. 122202–122202. 2 indexed citations
5.
Romanelli, João Paulo, et al.. (2023). Multifunctional Forest Restoration in Brazil: A Critical Analysis of the Trends and Knowledge Gaps in the Scientific Literature. Sustainability. 15(22). 15782–15782. 4 indexed citations
6.
Piotto, Daniel, et al.. (2023). Property size and forest cover were key determinants of forest restoration in Southern Bahia in the Atlantic Forest of Brazil. Land Use Policy. 134. 106879–106879. 4 indexed citations
7.
Magnago, Luiz Fernando Silva, et al.. (2022). Relationship between the richness of tree species and edaphoclimatic characteristics of the south region of Bahia, Brazil. Austral Ecology. 47(7). 1448–1455. 2 indexed citations
8.
Yousefpour, Rasoul, et al.. (2022). Broad-scale and long-term forest growth predictions and management for native, mixed species plantations and teak in Costa Rica and Panama. Forest Ecology and Management. 520. 120386–120386. 5 indexed citations
9.
Fantini, Alfredo Celso, et al.. (2021). Timber stock recovery in a chronosequence of secondary forests in Southern Brazil: Adding value to restored landscapes. Forest Ecology and Management. 495. 119352–119352. 17 indexed citations
10.
Piotto, Daniel, Dylan Craven, Florencia Montagnini, et al.. (2019). Successional, spatial, and seasonal changes in seed rain in the Atlantic forest of southern Bahia, Brazil. PLoS ONE. 14(12). e0226474–e0226474. 25 indexed citations
11.
Becknell, Justin M., Michael Keller, Daniel Piotto, et al.. (2018). Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest. Biotropica. 50(3). 520–530. 23 indexed citations
12.
Winbourne, Joy B., et al.. (2018). Nitrogen cycling during secondary succession in Atlantic Forest of Bahia, Brazil. Scientific Reports. 8(1). 1377–1377. 35 indexed citations
13.
Anjos, Letícia dos, et al.. (2017). PALMS AS SOURCE OF NON-TIMBER FOREST PRODUCTS IN THE SOUTHERN BAHIA COAST, BRAZIL. Agrotrópica (Itabuna). 29(3). 183–194. 3 indexed citations
14.
Versieux, Leonardo M., Nállarett Dávila, G. Delgado, et al.. (2017). Integrative research identifies 71 new plant species records in the state of Rio Grande do Norte (Brazil) and enhances a small herbarium collection during a funding shortage. PhytoKeys. 86(86). 43–74. 12 indexed citations
15.
Piotto, Daniel, Florencia Montagnini, William Wayt Thomas, Mark S. Ashton, & Chadwick Dearing Oliver. (2009). Forest recovery after swidden cultivation across a 40-year chronosequence in the Atlantic forest of southern Bahia, Brazil. Plant Ecology. 205(2). 261–272. 66 indexed citations
16.
Piotto, Daniel. (2008). A meta-analysis comparing tree growth in monocultures and mixed plantations. Forest Ecology and Management. 255(3-4). 781–786. 225 indexed citations
17.
Piotto, Daniel. (2007). GROWTH OF NATIVE TREE SPECIES PLANTED IN OPEN PASTURE, YOUNG SECONDARY FOREST AND MATURE FOREST IN HUMID TROPICAL COSTA RICA. 12 indexed citations
18.
Piotto, Daniel, et al.. (2003). Growth and effects of thinning of mixed and pure plantations with native trees in humid tropical Costa Rica. Forest Ecology and Management. 177(1-3). 427–439. 53 indexed citations
19.
Piotto, Daniel, et al.. (2002). Comportamiento de las especies y preferencias de los productores. Plantaciones forestales en Costa Rica y Nicaragua. 59–66. 6 indexed citations
20.
Piotto, Daniel. (2001). Plantaciones forestales en Costa Rica y Nicaragua: comportamiento de las especies y preferencias de los productores. 4 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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