Francesco Giannino

2.6k total citations
93 papers, 2.0k citations indexed

About

Francesco Giannino is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Francesco Giannino has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 22 papers in Nature and Landscape Conservation and 22 papers in Plant Science. Recurrent topics in Francesco Giannino's work include Ecosystem dynamics and resilience (22 papers), Ecology and Vegetation Dynamics Studies (22 papers) and Biocrusts and Microbial Ecology (9 papers). Francesco Giannino is often cited by papers focused on Ecosystem dynamics and resilience (22 papers), Ecology and Vegetation Dynamics Studies (22 papers) and Biocrusts and Microbial Ecology (9 papers). Francesco Giannino collaborates with scholars based in Italy, Russia and Netherlands. Francesco Giannino's co-authors include Giuliano Bonanomi, Stefano Mazzoleni, Fabrizio Cartenì, Stefano Mazzoleni, Guido Incerti, Max Rietkerk, Virginia Lanzotti, Antonio Mingo, Christian E. Vincenot and Maria Luisa Chiusano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and New Phytologist.

In The Last Decade

Francesco Giannino

87 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Giannino Italy 26 603 562 486 385 326 93 2.0k
Masahiro Ryo Germany 25 591 1.0× 413 0.7× 432 0.9× 816 2.1× 270 0.8× 72 2.5k
Perry de Valpine United States 27 566 0.9× 835 1.5× 838 1.7× 1.4k 3.5× 526 1.6× 84 3.0k
Emilio Guirado Spain 22 741 1.2× 465 0.8× 225 0.5× 651 1.7× 244 0.7× 71 2.4k
Stefano Mazzoleni Italy 30 1.0k 1.7× 906 1.6× 875 1.8× 679 1.8× 654 2.0× 123 2.8k
Peter A. Henrys United Kingdom 25 255 0.4× 585 1.0× 653 1.3× 865 2.2× 677 2.1× 85 2.6k
Manoj Kumar India 23 267 0.4× 535 1.0× 241 0.5× 280 0.7× 239 0.7× 78 1.4k
Edward J. Rykiel United States 13 299 0.5× 724 1.3× 480 1.0× 635 1.6× 186 0.6× 21 2.2k
Fabrizio Cartenì Italy 18 398 0.7× 369 0.7× 322 0.7× 218 0.6× 178 0.5× 55 1.2k
Ralf Wieland Germany 21 277 0.5× 435 0.8× 103 0.2× 299 0.8× 227 0.7× 61 1.6k
Pernille Thorbek United Kingdom 27 292 0.5× 483 0.9× 569 1.2× 612 1.6× 881 2.7× 74 2.8k

Countries citing papers authored by Francesco Giannino

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Giannino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Giannino

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Giannino. A scholar is included among the top collaborators of Francesco Giannino 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 Francesco Giannino. Francesco Giannino 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.
Giannino, Francesco, et al.. (2024). PDE models for vegetation biomass and autotoxicity. Mathematics and Computers in Simulation. 228. 386–401. 6 indexed citations
2.
Toraldo, Gerardo, et al.. (2024). Policy management of the Italian small pelagic fishery in the Adriatic Sea: A dynamic maximum economic yield approach. Ecological Economics. 224. 108260–108260.
3.
Giannino, Francesco, et al.. (2024). Feedback Control of Plant-Soil Autotoxicity via Pulse-Width Modulation. 406–411. 1 indexed citations
4.
5.
Giannino, Francesco, et al.. (2024). Enhanced forecasting of Biomass-toxicity-water models using numerical simulations. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2(4). 380–404.
6.
Bonanomi, Giuliano, et al.. (2023). Plants’ competition under autotoxicity effect: an evolutionary game. Optimization Letters. 18(3). 855–872. 3 indexed citations
7.
Giannino, Francesco, et al.. (2023). Parsimonious models of in-host viral dynamics and immune response. Applied Mathematics Letters. 145. 108781–108781. 11 indexed citations
8.
Zotti, Maurizio, et al.. (2023). Process based modelling of plants–fungus interactions explains fairy ring types and dynamics. Scientific Reports. 13(1). 19918–19918. 7 indexed citations
9.
Ascoli, Davide, Antonio Tomao, Piermaria Corona, et al.. (2023). Fire-smart solutions for sustainable wildfire risk prevention: Bottom-up initiatives meet top-down policies under EU green deal. International Journal of Disaster Risk Reduction. 92. 103715–103715. 44 indexed citations
10.
Bonanomi, Giuliano, et al.. (2023). Adult conspecific density affects Janzen-Connell patterns by modulating the recruitment exclusion zones. Frontiers in Plant Science. 14. 1079975–1079975. 2 indexed citations
11.
Cartenì, Fabrizio, et al.. (2022). A System Dynamics Approach to Model Photosynthesis at Leaf Level Under Fluctuating Light. Frontiers in Plant Science. 12. 787877–787877. 8 indexed citations
12.
Falco, Bruna de, Francesco Giannino, Fabrizio Cartenì, Stefano Mazzoleni, & Dong‐Hyun Kim. (2022). Metabolic flux analysis: a comprehensive review on sample preparation, analytical techniques, data analysis, computational modelling, and main application areas. RSC Advances. 12(39). 25528–25548. 25 indexed citations
13.
Crimaldi, Mariano, Fabrizio Cartenì, & Francesco Giannino. (2021). VISmaF: Synthetic Tree for Immersive Virtual Visualization in Smart Farming. Part I: Scientific Background Review and Model Proposal. Agronomy. 11(12). 2458–2458. 9 indexed citations
14.
Doroshkov, Alexey V., et al.. (2021). A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis. Frontiers in Genetics. 12. 652974–652974. 13 indexed citations
15.
16.
Giannino, Francesco, et al.. (2018). A Minimal Model for the Vegetation Combustion in Wildfire Simulators. SHILAP Revista de lepidopterología. 67. 19–24. 1 indexed citations
17.
Giannino, Francesco, Davide Ascoli, Mariano Sirignano, et al.. (2017). A combustion model of vegetation burning in “Tiger” fire propagation tool. AIP conference proceedings. 1906. 100007–100007. 2 indexed citations
18.
Severino, Gerardo, Francesco Giannino, Fabrizio Cartenì, Stefano Mazzoleni, & Daniel M. Tartakovsky. (2017). Effects of Hydraulic Soil Properties on Vegetation Pattern Formation in Sloping Landscapes. Bulletin of Mathematical Biology. 79(12). 2773–2784. 7 indexed citations
19.
Cartenì, Fabrizio, Giuliano Bonanomi, Francesco Giannino, et al.. (2016). Self-DNA inhibitory effects: Underlying mechanisms and ecological implications. Plant Signaling & Behavior. 11(4). e1158381–e1158381. 47 indexed citations
20.
Mazzoleni, Stefano, et al.. (2006). A new raster-based spatial modelling system: 5D environment. ScholarsArchive (Brigham Young University). 301–307. 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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