Tommaso Stella

3.0k total citations
21 papers, 560 citations indexed

About

Tommaso Stella is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Tommaso Stella has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 11 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Agronomy and Crop Science. Recurrent topics in Tommaso Stella's work include Climate change impacts on agriculture (11 papers), Greenhouse Technology and Climate Control (4 papers) and Bioenergy crop production and management (4 papers). Tommaso Stella is often cited by papers focused on Climate change impacts on agriculture (11 papers), Greenhouse Technology and Climate Control (4 papers) and Bioenergy crop production and management (4 papers). Tommaso Stella collaborates with scholars based in Italy, Germany and France. Tommaso Stella's co-authors include Roberto Confalonieri, Claas Nendel, Simone Bregaglio, Marco Acutis, G. Cappelli, Frank Ewert, Roberto Confalonieri, Thomas Gaiser, Valentina Pagani and Ioanna Mouratiadou and has published in prestigious journals such as Global Change Biology, Field Crops Research and Biomass and Bioenergy.

In The Last Decade

Tommaso Stella

21 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Stella Italy 15 292 169 145 130 112 21 560
Kees van Diepen Netherlands 5 234 0.8× 231 1.4× 110 0.8× 144 1.1× 94 0.8× 6 460
Kingsley Kwabena Ayisi South Africa 17 436 1.5× 121 0.7× 102 0.7× 108 0.8× 114 1.0× 64 798
Nanyan Deng China 13 519 1.8× 244 1.4× 114 0.8× 74 0.6× 136 1.2× 18 724
Qijin He China 16 467 1.6× 206 1.2× 200 1.4× 233 1.8× 122 1.1× 49 787
Hubert Hüging Germany 13 380 1.3× 118 0.7× 98 0.7× 114 0.9× 153 1.4× 24 577
Ishfaq Ahmad Pakistan 13 375 1.3× 274 1.6× 108 0.7× 134 1.0× 150 1.3× 44 672
Arne Oddvar Skjelvåg Norway 11 198 0.7× 132 0.8× 131 0.9× 133 1.0× 59 0.5× 16 513
Tamás Árendás Hungary 11 395 1.4× 109 0.6× 147 1.0× 90 0.7× 117 1.0× 53 633
José F. Andrade Argentina 17 435 1.5× 170 1.0× 144 1.0× 100 0.8× 241 2.2× 28 766
Tommy Klein Switzerland 10 192 0.7× 240 1.4× 63 0.4× 152 1.2× 120 1.1× 15 465

Countries citing papers authored by Tommaso Stella

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Stella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Stella

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Stella. A scholar is included among the top collaborators of Tommaso Stella 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 Tommaso Stella. Tommaso Stella 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.
Stella, Tommaso, Heidi Webber, Ehsan Eyshi Rezaei, et al.. (2023). Wheat crop traits conferring high yield potential may also improve yield stability under climate change. SPIRE - Sciences Po Institutional REpository. 5(2). 13 indexed citations
2.
Kamali, Bahareh, et al.. (2022). Improving the simulation of permanent grasslands across Germany by using multi-objective uncertainty-based calibration of plant-water dynamics. European Journal of Agronomy. 134. 126464–126464. 6 indexed citations
3.
Faye, Babacar, Heidi Webber, Thomas Gaiser, et al.. (2022). Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management. European Journal of Agronomy. 142. 126670–126670. 26 indexed citations
4.
Nendel, Claas, Moritz Reckling, Philippe Debaeke, et al.. (2022). Future area expansion outweighs increasing drought risk for soybean in Europe. Global Change Biology. 29(5). 1340–1358. 60 indexed citations
5.
Mouratiadou, Ioanna, Floor van der Hilst, Christoph Müller, et al.. (2021). Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling. Ecological Indicators. 129. 107870–107870. 29 indexed citations
6.
Bregaglio, Simone, Laetitia Willocquet, Kurt Christian Kersebaum, et al.. (2021). Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases. Field Crops Research. 265. 108108–108108. 23 indexed citations
7.
Mouratiadou, Ioanna, Tommaso Stella, Thomas Gaiser, et al.. (2019). Sustainable intensification of crop residue exploitation for bioenergy: Opportunities and challenges. GCB Bioenergy. 12(1). 71–89. 24 indexed citations
8.
Hampf, Anna, et al.. (2019). Future yields of double-cropping systems in the Southern Amazon, Brazil, under climate change and technological development. Agricultural Systems. 177. 102707–102707. 47 indexed citations
9.
Stella, Tommaso, Ioanna Mouratiadou, Thomas Gaiser, et al.. (2019). Estimating the contribution of crop residues to soil organic carbon conservation. Environmental Research Letters. 14(9). 94008–94008. 44 indexed citations
10.
Bach, Martin, et al.. (2018). Modelling nitrate losses from agricultural land in Germany. EGU General Assembly Conference Abstracts. 14833. 1 indexed citations
11.
Stella, Tommaso, Roberto Confalonieri, Luigi Ranghetti, et al.. (2018). Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data. European Journal of Agronomy. 103. 108–116. 61 indexed citations
12.
Pagani, Valentina, Tommaso Stella, Tommaso Guarneri, et al.. (2017). Forecasting sugarcane yields using agro-climatic indicators and Canegro model: A case study in the main production region in Brazil. Agricultural Systems. 154. 45–52. 47 indexed citations
13.
Stella, Tommaso, C. Francone, Sevim Seda Yamaç, et al.. (2015). Reimplementation and reuse of the Canegro model: From sugarcane to giant reed. Computers and Electronics in Agriculture. 113. 193–202. 14 indexed citations
14.
Cappelli, G., Sevim Seda Yamaç, Tommaso Stella, et al.. (2015). Are advantages from the partial replacement of corn with second-generation energy crops undermined by climate change? A case study for giant reed in northern Italy. Biomass and Bioenergy. 80. 85–93. 21 indexed citations
15.
Stella, Tommaso, Simone Bregaglio, & Roberto Confalonieri. (2015). A model to simulate the dynamics of carbohydrate remobilization during rice grain filling. Ecological Modelling. 320. 366–371. 16 indexed citations
16.
Stella, Tommaso, et al.. (2014). Model simplification and development via reuse, sensitivity analysis and composition: A case study in crop modelling. Environmental Modelling & Software. 59. 44–58. 44 indexed citations
17.
Confalonieri, Roberto, C. Francone, Marcello Ermido Chiodini, et al.. (2014). Any chance to evaluate in vivo field methods using standard protocols?. Field Crops Research. 161. 128–136. 5 indexed citations
18.
Bregaglio, Simone, Valentina Pagani, Tommaso Stella, et al.. (2014). New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco. Agronomy for Sustainable Development. 35(1). 157–167. 32 indexed citations
19.
Confalonieri, Roberto, et al.. (2012). An extensible, multi-model software library for simulating crop growth and development. ScholarsArchive (Brigham Young University). 884–892. 4 indexed citations
20.
Confalonieri, Roberto, C. Francone, G. Cappelli, et al.. (2012). A multi-approach software library for estimating crop suitability to environment. Computers and Electronics in Agriculture. 90. 170–175. 17 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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