Eleonora Canfora

3.8k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Eleonora Canfora is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Eleonora Canfora has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 3 papers in Atmospheric Science and 2 papers in Nature and Landscape Conservation. Recurrent topics in Eleonora Canfora's work include Plant Water Relations and Carbon Dynamics (5 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Forest ecology and management (2 papers). Eleonora Canfora is often cited by papers focused on Plant Water Relations and Carbon Dynamics (5 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Forest ecology and management (2 papers). Eleonora Canfora collaborates with scholars based in Italy, United States and Germany. Eleonora Canfora's co-authors include Dario Papale, Riccardo Valentini, Serge Rambal, Christian Bernhofer, Bernard Longdoz, Dan Yakir, Marc Aubinet, Werner L. Kutsch, Timo Vesala and Markus Reichstein and has published in prestigious journals such as Biogeochemistry, Biogeosciences and Florence Research (University of Florence).

In The Last Decade

Eleonora Canfora

7 papers receiving 1.3k citations

Hit Papers

Towards a standardized processing of Net Ecosystem Exchan... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleonora Canfora Italy 4 1.2k 350 350 220 135 8 1.3k
Peter Isaac Australia 16 1.1k 0.9× 210 0.6× 412 1.2× 189 0.9× 124 0.9× 26 1.2k
Ladislav Šigut Czechia 16 1.1k 0.9× 414 1.2× 415 1.2× 323 1.5× 209 1.5× 36 1.3k
Henk de Bruin Netherlands 7 903 0.8× 196 0.6× 341 1.0× 212 1.0× 82 0.6× 11 1.0k
Alberto L. Orchansky Canada 10 818 0.7× 283 0.8× 278 0.8× 126 0.6× 169 1.3× 11 959
Robert Clement United Kingdom 15 845 0.7× 222 0.6× 308 0.9× 235 1.1× 116 0.9× 21 968
Jean-Marc Bonnefond France 13 1.2k 1.0× 441 1.3× 263 0.8× 227 1.0× 257 1.9× 22 1.5k
Meelis Mölder Sweden 25 1.4k 1.2× 377 1.1× 679 1.9× 247 1.1× 295 2.2× 55 1.7k
Mark Heuer United States 14 716 0.6× 170 0.5× 349 1.0× 163 0.7× 68 0.5× 34 925
Bergson G. Bezerra Brazil 21 776 0.7× 421 1.2× 190 0.5× 207 0.9× 92 0.7× 57 1.2k
Olaf Menzer United States 9 731 0.6× 317 0.9× 202 0.6× 133 0.6× 98 0.7× 13 878

Countries citing papers authored by Eleonora Canfora

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Canfora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Canfora

This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Canfora. A scholar is included among the top collaborators of Eleonora Canfora 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 Eleonora Canfora. Eleonora Canfora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Pastorello, Gilberto, Dan Gunter, Housen Chu, et al.. (2017). Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures. eScholarship (California Digital Library). 446–447. 2 indexed citations
2.
Pastorello, Gilberto, C. Poindexter, Dario Papale, et al.. (2014). The data post-processing pipeline for AmeriFlux data products. 2014 AGU Fall Meeting. 2014. 1 indexed citations
3.
Pastorello, Gilberto, D. Agarwal, Dario Papale, et al.. (2014). Observational Data Patterns for Time Series Data Quality Assessment. 271–278. 41 indexed citations
4.
Rey, Ana, Luca Belelli Marchesini, Giuseppe Etiope, et al.. (2013). Partitioning the net ecosystem carbon balance of a semiarid steppe into biological and geological components. Biogeochemistry. 118(1-3). 83–101. 12 indexed citations
5.
Gioli, Beniamino, et al.. (2010). Influence of water availability on carbon uptake of two Mediterranean Holm oak forests. Florence Research (University of Florence). 12249. 1 indexed citations
6.
Papale, Dario, Markus Reichstein, Marc Aubinet, et al.. (2006). Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences. 3(4). 571–583. 1216 indexed citations breakdown →
7.
Papale, Dario, Markus Reichstein, Eleonora Canfora, et al.. (2006). Towards a more harmonized processing of eddy covariance CO 2 fluxes: algorithms and uncertainty estimation. 18 indexed citations
8.
Manes, Fausto, et al.. (1997). <title>Remote sensing analysis of Mediterranean ecosystem canopies and upscaling studies</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3222. 246–252. 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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