Marcos Longo

6.8k total citations · 1 hit paper
75 papers, 3.3k citations indexed

About

Marcos Longo is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Marcos Longo has authored 75 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Global and Planetary Change, 26 papers in Nature and Landscape Conservation and 25 papers in Ecology. Recurrent topics in Marcos Longo's work include Plant Water Relations and Carbon Dynamics (40 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (16 papers). Marcos Longo is often cited by papers focused on Plant Water Relations and Carbon Dynamics (40 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (16 papers). Marcos Longo collaborates with scholars based in United States, Brazil and Puerto Rico. Marcos Longo's co-authors include Michael Keller, Steven C. Wofsy, P. R. Moorcroft, Michael T. Coe, Alessandro Araùjo, J. William Munger, Ryan Knox, Jennifer K. Balch, Carlos Souza and Britaldo Soares‐Filho and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Marcos Longo

71 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Amazon basin in transition

2012 861 citations Alessandro Araùjo, Michael Keller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcos Longo United States	30	2.5k	1.1k	987	753	585	75	3.3k
Emanuel Gloor United Kingdom	29	2.2k 0.9×	818 0.8×	897 0.9×	1.0k 1.3×	355 0.6×	55	3.3k
Tao Zhou China	27	2.2k 0.9×	1.1k 1.0×	546 0.6×	819 1.1×	398 0.7×	77	3.0k
Marina Hirota Brazil	19	2.3k 0.9×	805 0.8×	1.2k 1.3×	574 0.8×	274 0.5×	45	3.0k
Jian Bi China	16	2.3k 0.9×	1.2k 1.1×	383 0.4×	807 1.1×	408 0.7×	32	3.1k
Baozhang Chen China	32	2.5k 1.0×	1.2k 1.1×	375 0.4×	893 1.2×	693 1.2×	113	3.4k
Ana Bastos Germany	32	3.1k 1.3×	811 0.8×	549 0.6×	1.3k 1.8×	471 0.8×	108	4.0k
Florent Mouillot France	34	3.9k 1.6×	1.5k 1.4×	849 0.9×	957 1.3×	439 0.8×	93	4.7k
Alessandro Araùjo Brazil	26	2.5k 1.0×	748 0.7×	639 0.6×	866 1.2×	289 0.5×	92	3.2k
Niels Andela United States	22	3.6k 1.5×	1.2k 1.1×	520 0.5×	1.2k 1.6×	329 0.6×	40	4.2k
Yi Yin United States	37	2.9k 1.2×	927 0.9×	579 0.6×	1.9k 2.5×	546 0.9×	95	4.1k

Countries citing papers authored by Marcos Longo

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Longo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Longo

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Longo. A scholar is included among the top collaborators of Marcos Longo 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 Marcos Longo. Marcos Longo 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

Longo, Marcos, Michael Keller, Lara M. Kueppers, et al.. (2025). Degradation and deforestation increase the sensitivity of the Amazon Forest to climate extremes. Environmental Research Letters. 20(5). 54024–54024. 1 indexed citations

Needham, Jessica, Charles D. Koven, Rosie A. Fisher, et al.. (2025). Vertical canopy gradients of respiration drive plant carbon budgets and leaf area index. New Phytologist. 246(1). 144–157. 5 indexed citations

Restrepo‐Coupé, Natalia, Kleber Silva Campos, Luciana F. Alves, et al.. (2024). Contrasting carbon cycle responses to dry (2015 El Niño) and wet (2008 La Niña) extreme events at an Amazon tropical forest. Agricultural and Forest Meteorology. 353. 110037–110037. 8 indexed citations

Schneider, Fabian, Marcos Longo, Eugénie Paul‐Limoges, et al.. (2023). Remote Sensing‐Based Forest Modeling Reveals Positive Effects of Functional Diversity on Productivity at Local Spatial Scale. Journal of Geophysical Research Biogeosciences. 128(6). 11 indexed citations

Restrepo‐Coupé, Natalia, Bradley Christoffersen, Marcos Longo, et al.. (2023). Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought‐induced tipping point. Global Change Biology. 29(21). 6077–6092. 8 indexed citations

Braghiere, Renato K., Yujie Wang, Philip G. Brodrick, et al.. (2023). The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections. SHILAP Revista de lepidopterología. 4(4). 12 indexed citations

Wang, Yujie, Renato K. Braghiere, Marcos Longo, et al.. (2023). Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land. Journal of Advances in Modeling Earth Systems. 15(3). 22 indexed citations

Li, Lingcheng, Yilin Fang, Zhonghua Zheng, et al.. (2023). A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0). Geoscientific model development. 16(14). 4017–4040. 9 indexed citations

Valle, Denis, Carlos Alberto Silva, Marcos Longo, & Paulo Brando. (2022). The Latent Dirichlet Allocation model applied to airborne LiDAR data: A case study on mapping forest degradation associated with fragmentation and fire in the Amazon region. Methods in Ecology and Evolution. 13(6). 1329–1342. 2 indexed citations

10.

Meunier, Félicien, Marco D. Visser, Alexey Shiklomanov, et al.. (2021). Liana optical traits increase tropical forest albedo and reduce ecosystem productivity. Global Change Biology. 28(1). 227–244. 14 indexed citations

11.

Longo, Marcos, Sassan Saatchi, Michael Keller, et al.. (2020). Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests. Journal of Geophysical Research Biogeosciences. 125(8). e2020JG005677–e2020JG005677. 65 indexed citations

12.

Holm, Jennifer A., Ryan Knox, Qing Zhu, et al.. (2020). The Central Amazon Biomass Sink Under Current and Future Atmospheric CO₂: Predictions From Big‐Leaf and Demographic Vegetation Models. Journal of Geophysical Research Biogeosciences. 125(3). 29 indexed citations

13.

Meunier, Félicien, Hans Verbeeck, Stefan A. Schnitzer, et al.. (2020). Unraveling the relative role of light and water competition between lianas and trees in tropical forests: A vegetation model analysis. Journal of Ecology. 109(1). 519–540. 21 indexed citations

14.

Meunier, Félicien, Marcos Longo, Sruthi M. Krishna Moorthy, et al.. (2019). Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests. Global Change Biology. 25(11). 3767–3780. 34 indexed citations

15.

Longo, Marcos, Ryan Knox, Naomi M. Levine, et al.. (2019). The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America. Geoscientific model development. 12(10). 4347–4374. 37 indexed citations

16.

Longo, Marcos, Ryan Knox, David Medvigy, et al.. (2019). The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description. Geoscientific model development. 12(10). 4309–4346. 85 indexed citations

17.

Huang, Maoyi, Yi Xu, Marcos Longo, et al.. (2019). Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator. 4 indexed citations

18.

Hayek, Matthew, Marcos Longo, Jin Wu, et al.. (2018). Carbon exchange in an Amazon forest: from hours to years. Biogeosciences. 15(15). 4833–4848. 19 indexed citations

19.

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

20.

Godio, Alberto, et al.. (2001). Response of the Val d'Arcia small dolomitici glacier (Monte Pelmo, eastern Alps) to recent climatic changes: geomorphological and geophysical study. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 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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