Francesca Pennecchi
- Statistics, Probability and Uncertainty top 0.5%
- Food Science top 5%
- Biomedical Engineering
- Analytical Chemistry top 5%
- Electrical and Electronic Engineering
- Co-authors
- Ilya KuselmanDavid Brynn HibbertRicardo J.N. Bettencourt da SilvaG. ManaLuca CallegaroWalter BichA. FajgeljMichela Sega
- Topics
- Scientific Measurement and Uncertainty Evaluation (43 papers)Pesticide Residue Analysis and Safety (17 papers)Statistical and numerical algorithms (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemosphereAnalytica Chimica Acta
In The Last Decade
Francesca Pennecchi
89 papers receiving 809 citations
Peers
Comparison fields: 5 of 126
- Statistics, Probability and Uncertainty 352
- Food Science 199
- Biomedical Engineering 124
- Analytical Chemistry 99
- Electrical and Electronic Engineering 81
Countries citing papers authored by Francesca Pennecchi
This map shows the geographic impact of Francesca Pennecchi'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 Francesca Pennecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Pennecchi more than expected).
Fields of papers citing papers by Francesca Pennecchi
This network shows the impact of papers produced by Francesca Pennecchi. 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 Francesca Pennecchi. The network helps show where Francesca Pennecchi may publish in the future.
Co-authorship network of co-authors of Francesca Pennecchi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Pennecchi. A scholar is included among the top collaborators of Francesca Pennecchi 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 Francesca Pennecchi. Francesca Pennecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 29 | |
| 18 | 31 | |
| 19 | 3 | |
| 20 | 14 |
About Francesca Pennecchi
Francesca Pennecchi is a scholar working on Statistics, Probability and Uncertainty, Chemical Health and Safety and Food Science, having authored 97 papers that have together received 852 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (43 papers), Pesticide Residue Analysis and Safety (17 papers) and Statistical and numerical algorithms (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (352 citations), Chemical Health and Safety (20 citations) and Food Science (199 citations). Francesca Pennecchi has collaborated with scholars based in Italy, Australia and Israel. Frequent co-authors include Ilya Kuselman, David Brynn Hibbert, Ricardo J.N. Bettencourt da Silva, G. Mana, Luca Callegaro, Walter Bich, A. Fajgelj, Michela Sega, M G Cox and Giancarlo Raiteri. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemosphere and Analytica Chimica Acta.
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.