Michela Sega
- Food Science top 10%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Molecular Biology
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Maria Cesarina AbeteAndrea Mario GiovannozziDaniela MarchisAndrea Mario RossiFrancesca PennecchiIlya KuselmanMarco VincentiFrancesca Durbiano
- Topics
- Scientific Measurement and Uncertainty Evaluation (18 papers)Atmospheric and Environmental Gas Dynamics (11 papers)Atmospheric Ozone and Climate (7 papers)
- Partner nations
- ItalyAustraliaNetherlands
In The Last Decade
Michela Sega
32 papers receiving 261 citations
Peers
Comparison fields: 5 of 69
- Food Science 92
- Biomedical Engineering 85
- Electronic, Optical and Magnetic Materials 81
- Molecular Biology 65
- Statistics, Probability and Uncertainty 55
Countries citing papers authored by Michela Sega
This map shows the geographic impact of Michela Sega'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 Michela Sega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Sega more than expected).
Fields of papers citing papers by Michela Sega
This network shows the impact of papers produced by Michela Sega. 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 Michela Sega. The network helps show where Michela Sega may publish in the future.
Co-authorship network of co-authors of Michela Sega
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Sega. A scholar is included among the top collaborators of Michela Sega 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 Michela Sega. Michela Sega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 140 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | Uncertainty estimation in chemical measurements: carbon dioxide determination at atmospheric concentration. | 1 |
About Michela Sega
Michela Sega is a scholar working on Statistics, Probability and Uncertainty, Process Chemistry and Technology and Global and Planetary Change, having authored 38 papers that have together received 276 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (18 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Atmospheric Ozone and Climate (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (55 citations), Food Science (92 citations) and Analytical Chemistry (47 citations). Michela Sega has collaborated with scholars based in Italy, Australia and Netherlands. Frequent co-authors include Maria Cesarina Abete, Andrea Mario Giovannozzi, Daniela Marchis, Andrea Mario Rossi, Francesca Pennecchi, Ilya Kuselman, Marco Vincenti, Francesca Durbiano, Adriaan M. H. van der Veen and Claudio Minero. Their work appears in journals such as Food Chemistry, Analytica Chimica Acta and Measurement.
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.