Francesca Pennecchi

1.1k total citations
97 papers, 852 citations indexed

About

Francesca Pennecchi is a scholar working on Statistics, Probability and Uncertainty, Food Science and Oceanography. According to data from OpenAlex, Francesca Pennecchi has authored 97 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics, Probability and Uncertainty, 21 papers in Food Science and 14 papers in Oceanography. Recurrent topics in Francesca Pennecchi's work include Scientific Measurement and Uncertainty Evaluation (43 papers), Pesticide Residue Analysis and Safety (17 papers) and Statistical and numerical algorithms (10 papers). Francesca Pennecchi is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (43 papers), Pesticide Residue Analysis and Safety (17 papers) and Statistical and numerical algorithms (10 papers). Francesca Pennecchi collaborates with scholars based in Italy, Australia and Israel. Francesca Pennecchi's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Analytica Chimica Acta.

In The Last Decade

Francesca Pennecchi

89 papers receiving 809 citations

Peers

Francesca Pennecchi
Adriaan M. H. van der Veen Netherlands
Keith R. Eberhardt United States
David L. Duewer United States
Wolfgang Wöger Germany
Walter Bich Italy
René Dybkær Denmark
Ignacio Lira Chile
R. B. Frenkel Australia
Neal B. Gallagher United States
F. S. Lai United States
Adriaan M. H. van der Veen Netherlands
Francesca Pennecchi
Citations per year, relative to Francesca Pennecchi Francesca Pennecchi (= 1×) peers Adriaan M. H. van der Veen

Countries citing papers authored by Francesca Pennecchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kuselman, Ilya, et al.. (2025). IUPAC/CITAC guide: interlaboratory comparison of categorical characteristics of a substance, material, or object (IUPAC Technical Report). Pure and Applied Chemistry. 97(7). 715–750. 1 indexed citations
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Durbiano, Francesca, et al.. (2024). Stability study and uncertainty evaluation of CO2 certified reference materials for greenhouse gases monitoring. Measurement. 232. 114653–114653. 1 indexed citations
5.
Gadrich, Tamar, Yariv N. Marmor, Francesca Pennecchi, et al.. (2024). Power of a test for assessing interlaboratory consensus of nominal and ordinal characteristics of a substance, material, or object. Metrologia. 61(4). 45004–45004. 2 indexed citations
6.
Lombardi, Chiara, et al.. (2024). Surface Partial Pressure of CO2 in Seawater: A Preliminary Comparison Between In-Situ Measurement and Model Data, Along a Round-the-World Route. Zenodo (CERN European Organization for Nuclear Research). 213–218.
7.
Pennecchi, Francesca & P M Harris. (2023). Mathmet Measurement Uncertainty Training activity – Overview of courses, software, and classroom examples. ACTA IMEKO. 12(2). 1–6. 1 indexed citations
8.
Prato, Andrea, Francesca Pennecchi, Gianfranco Genta, & Alessandro Schiavi. (2023). A Bayesian statistical method for large-scale MEMS-based sensors calibration: a case study on 100 digital accelerometers. Metrologia. 61(1). 15005–15005.
9.
Pennecchi, Francesca, Francesca Durbiano, Chiara Musacchio, et al.. (2023). Essential Ocean Variables for Marine Environment Monitoring: Metrological Case Studies. Journal of Marine Science and Engineering. 11(8). 1605–1605. 1 indexed citations
10.
Durbiano, Francesca, Francesca Pennecchi, Marco Coïsson, et al.. (2023). Metrology for marine monitoring: cooperation between INRiM and ENEA. CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica). 226–231. 1 indexed citations
11.
Arduino, Alessandro, Francesca Pennecchi, Ulrich Katscher, M G Cox, & Luca Zilberti. (2023). Repeatability and Reproducibility Uncertainty in Magnetic Resonance-Based Electric Properties Tomography of a Homogeneous Phantom. Tomography. 9(1). 420–435. 4 indexed citations
12.
Arduino, Alessandro, Stefano Mandija, Francesca Pennecchi, Cornelis A. T. van den Berg, & Luca Zilberti. (2023). Automatic selection of the optimal kernel size for Helmholtz-based EPT. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
13.
Durbiano, Francesca, et al.. (2022). Generation of CO2 gas mixtures by dynamic dilution for the development of gaseous certified reference materials. Measurement Sensors. 24. 100415–100415. 3 indexed citations
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Gadrich, Tamar, et al.. (2022). Interlaboratory comparison of the intensity of drinking water odor and taste by two-way ordinal analysis of variation without replication. Journal of Water and Health. 20(6). 1005–1016. 5 indexed citations
16.
Pennecchi, Francesca, et al.. (2020). Calibration curve computing (CCC) software v2.0: a new release of the INRIM regression tool. Measurement Science and Technology. 31(11). 114004–114004. 8 indexed citations
17.
Pennecchi, Francesca, Ilya Kuselman, Ricardo J.N. Bettencourt da Silva, & David Brynn Hibbert. (2018). Risk of a false decision on conformity of an environmental compartment due to measurement uncertainty of concentrations of two or more pollutants. Chemosphere. 202. 165–176. 29 indexed citations
18.
Kuselman, Ilya, Francesca Pennecchi, Ricardo J.N. Bettencourt da Silva, & David Brynn Hibbert. (2017). Risk of false decision on conformity of a multicomponent material when test results of the components’ content are correlated. Talanta. 174. 789–796. 31 indexed citations
19.
Kuselman, Ilya & Francesca Pennecchi. (2016). Human Errors in a Routine Analytical Laboratory—Classification, Modeling and Quantification: Overview of the IUPAC/CITAC Guide*. Chemistry International. 38(5). 27–30. 3 indexed citations
20.
Giovannozzi, Andrea Mario, V. Ferrero, Francesca Pennecchi, et al.. (2011). P450-based porous silicon biosensor for arachidonic acid detection. Biosensors and Bioelectronics. 28(1). 320–325. 14 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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