Tommaso Stella
- Plant Science top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecology top 10%
- Global and Planetary Change top 10%
- Soil Science top 10%
- Co-authors
- Roberto ConfalonieriClaas NendelSimone BregaglioMarco AcutisG. CappelliFrank EwertThomas GaiserIoanna Mouratiadou
- Topics
- Climate change impacts on agriculture (11 papers)Greenhouse Technology and Climate Control (4 papers)Bioenergy crop production and management (4 papers)
In The Last Decade
Tommaso Stella
21 papers receiving 546 citations
Peers
Comparison fields: 5 of 64
- Plant Science 292
- Ecology, Evolution, Behavior and Systematics 169
- Ecology 145
- Global and Planetary Change 130
- Soil Science 112
Countries citing papers authored by Tommaso Stella
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 6 | |
| 3 | 26 | |
| 4 | 60 | |
| 5 | 29 | |
| 6 | 23 | |
| 7 | 47 | |
| 8 | 24 | |
| 9 | Modelling nitrate losses from agricultural land in Germany | 1 |
| 10 | 61 | |
| 11 | 47 | |
| 12 | 26 | |
| 13 | 14 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 44 | |
| 17 | 5 | |
| 18 | 32 | |
| 19 | An extensible, multi-model software library for simulating crop growth and development | 4 |
| 20 | 17 |
About Tommaso Stella
Tommaso Stella is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Soil Science, having authored 21 papers that have together received 560 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (11 papers), Greenhouse Technology and Climate Control (4 papers) and Bioenergy crop production and management (4 papers). The work is most often cited by research in Soil Science (112 citations), Agronomy and Crop Science (109 citations) and Ecology, Evolution, Behavior and Systematics (169 citations). Tommaso Stella has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Roberto Confalonieri, Claas Nendel, Simone Bregaglio, Marco Acutis, G. Cappelli, Roberto Confalonieri, Frank Ewert, Thomas Gaiser, Ioanna Mouratiadou and Valentina Pagani. Their work appears in journals such as Global Change Biology, Field Crops Research and Biomass and Bioenergy.
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.