Leonardo Paolini

5.0k total citations · 2 hit papers
26 papers, 3.9k citations indexed

About

Leonardo Paolini is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Leonardo Paolini has authored 26 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 6 papers in Nature and Landscape Conservation. Recurrent topics in Leonardo Paolini's work include Plant Water Relations and Carbon Dynamics (8 papers), Tree-ring climate responses (7 papers) and Land Use and Ecosystem Services (7 papers). Leonardo Paolini is often cited by papers focused on Plant Water Relations and Carbon Dynamics (8 papers), Tree-ring climate responses (7 papers) and Land Use and Ecosystem Services (7 papers). Leonardo Paolini collaborates with scholars based in Argentina, Spain and New Zealand. Leonardo Paolini's co-authors include José A. Sobrino, Juan C. Jiménez‐Muñoz, Christopher J. Lortie, Cristina Armas, David Kikodze, Ragan M. Callaway, Francisco I. Pugnaire, Beth A. Newingham, Rob W. Brooker and Erik T. Aschehoug and has published in prestigious journals such as Nature, Ecology and Remote Sensing of Environment.

In The Last Decade

Leonardo Paolini

26 papers receiving 3.8k citations

Hit Papers

Land surface temperature retrieval from LANDSAT TM 5 2002 2026 2010 2018 2004 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Paolini Argentina 15 1.9k 1.6k 1.3k 1.1k 791 26 3.9k
Miquel Ninyerola Spain 24 2.2k 1.2× 886 0.6× 1.3k 1.0× 1.5k 1.4× 795 1.0× 53 3.8k
Miles R. Silman United States 34 1.8k 1.0× 967 0.6× 1.6k 1.3× 852 0.8× 1.7k 2.1× 69 5.0k
Thomas Rötzer Germany 38 3.5k 1.9× 2.0k 1.3× 2.2k 1.7× 1.4k 1.3× 844 1.1× 108 5.8k
Anna Barbati Italy 30 3.4k 1.8× 791 0.5× 1.8k 1.4× 630 0.6× 1.2k 1.5× 79 4.7k
Jennifer C. Jenkins United States 25 3.1k 1.6× 1.0k 0.7× 2.0k 1.6× 504 0.5× 1.5k 1.9× 40 4.9k
Thomas Nauß Germany 30 1.5k 0.8× 798 0.5× 687 0.5× 987 0.9× 1000 1.3× 86 3.6k
Constantin M. Zohner Switzerland 26 2.3k 1.2× 488 0.3× 1.1k 0.9× 566 0.5× 1.3k 1.7× 63 4.0k
Martine Rebetez Switzerland 34 2.4k 1.3× 330 0.2× 930 0.7× 1.7k 1.6× 592 0.7× 59 4.0k
Kirsten M. de Beurs United States 37 2.7k 1.4× 1.2k 0.8× 400 0.3× 881 0.8× 2.7k 3.5× 103 4.9k
Eileen H. Helmer United States 27 2.5k 1.4× 1.2k 0.7× 1.8k 1.4× 506 0.5× 1.9k 2.5× 50 4.9k

Countries citing papers authored by Leonardo Paolini

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Paolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Paolini

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Paolini. A scholar is included among the top collaborators of Leonardo Paolini 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 Leonardo Paolini. Leonardo Paolini 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.
Aráoz, Ezequiel, et al.. (2021). Counterurbanization: A neglected pathway of forest transition. AMBIO. 51(4). 823–835. 10 indexed citations
2.
3.
Paolini, Leonardo, et al.. (2019). Decoupling of the urban vegetation productivity from climate. Urban forestry & urban greening. 44. 126428–126428. 5 indexed citations
4.
Blundo, Cecilia, Ignácio Gasparri, Agustina Malizia, et al.. (2018). Relationships among phenology, climate and biomass across subtropical forests in Argentina. Journal of Tropical Ecology. 34(2). 93–107. 17 indexed citations
5.
Aráoz, Ezequiel, et al.. (2017). Primary productivity in cities and their influence over subtropical bird assemblages. Urban forestry & urban greening. 26. 57–64. 15 indexed citations
6.
Paolini, Leonardo, et al.. (2016). Vegetation productivity trends in response to urban dynamics. Urban forestry & urban greening. 17. 211–216. 11 indexed citations
7.
Montti, Lía, et al.. (2014). Efectos de la invasión del ligustro, Ligustrum lucidum, en la dinámica hídrica de las Yungas del noroeste Argentino. Bosque (Valdivia). 35(2). 195–205. 20 indexed citations
8.
Ferrero, M. Eugenia, et al.. (2013). Tree-growth responses across environmental gradients in subtropical Argentinean forests. Plant Ecology. 214(11). 1321–1334. 18 indexed citations
9.
Carilla, Julieta, et al.. (2013). Lake Fluctuations, Plant Productivity, and Long-Term Variability in High-Elevation Tropical Andean Ecosystems. Arctic Antarctic and Alpine Research. 45(2). 179–189. 27 indexed citations
10.
Oltra-Carrió, R., et al.. (2010). Estudio del crecimiento urbano, de la estructura de la vegetación y de la temperatura de la superficie del Gran San Miguel de Tucumán: Argentina. 69–76. 5 indexed citations
11.
Gasparri, Ignácio, et al.. (2010). Monitoreo satelital de fuegos en el área cañera de la provincia de Tucumán, Argentina. 1 indexed citations
12.
Restrepo, Carla, Lawrence R. Walker, Aaron B. Shiels, et al.. (2009). Landsliding and Its Multiscale Influence on Mountainscapes. BioScience. 59(8). 685–698. 88 indexed citations
13.
Grau, H. Ricardo, et al.. (2008). A Peri-Urban Neotropical Forest Transition and its Consequences for Environmental Services. Ecology and Society. 13(1). 69 indexed citations
14.
Paolini, Leonardo, Francisco Grings, José A. Sobrino, Juan C. Jiménez‐Muñoz, & H. Karszenbaum. (2006). Radiometric correction effects in Landsat multi‐date/multi‐sensor change detection studies. International Journal of Remote Sensing. 27(4). 685–704. 139 indexed citations
15.
Morales, Mariano S., Ricardo Villalba, H. Ricardo Grau, & Leonardo Paolini. (2004). RAINFALL-CONTROLLED TREE GROWTH IN HIGH-ELEVATION SUBTROPICAL TREELINES. Ecology. 85(11). 3080–3089. 115 indexed citations
16.
Sobrino, José A., Juan C. Jiménez‐Muñoz, & Leonardo Paolini. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment. 90(4). 434–440. 1746 indexed citations breakdown →
17.
Grau, H. Ricardo, Tomás A. Easdale, & Leonardo Paolini. (2003). Subtropical dendroecology—dating disturbances and forest dynamics in northwestern Argentina montane ecosystems. Forest Ecology and Management. 177(1-3). 131–143. 47 indexed citations
18.
Paolini, Leonardo, et al.. (2002). Detección de deslizamientos de ladera mediante imágenes Landsat TM: el impacto de estos disturbios sobre los bosques subtropicales del noroeste de Argentina. Conicet. 21–27. 6 indexed citations
19.
Callaway, Ragan M., Rob W. Brooker, Philippe Choler, et al.. (2002). Positive interactions among alpine plants increase with stress. Nature. 417(6891). 844–848. 1472 indexed citations breakdown →
20.
Farji‐Brener, Alejandro G., et al.. (2002). [Acumen function in leaves and its vertical distribution in a tropical rain forest of Costa Rica].. PubMed. 50(2). 561–7. 8 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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