Italia De Feis
- Molecular Biology
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Statistics and Probability top 5%
- Environmental Engineering top 10%
- Co-authors
- Claudia AngeliniValerio CostaAlfredo CiccodicolaUmberto AmatoCarmine SerioAnestis AntoniadisAnnamaria CarissimoTheofanis Sapatinas
- Topics
- Calibration and Measurement Techniques (9 papers)Meteorological Phenomena and Simulations (7 papers)Statistical Methods and Inference (7 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ItalyFranceSouth Africa
In The Last Decade
Italia De Feis
51 papers receiving 944 citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 346
- Atmospheric Science 163
- Global and Planetary Change 144
- Statistics and Probability 108
- Environmental Engineering 106
Countries citing papers authored by Italia De Feis
This map shows the geographic impact of Italia De Feis'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 Italia De Feis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Italia De Feis more than expected).
Fields of papers citing papers by Italia De Feis
This network shows the impact of papers produced by Italia De Feis. 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 Italia De Feis. The network helps show where Italia De Feis may publish in the future.
Co-authorship network of co-authors of Italia De Feis
This figure shows the co-authorship network connecting the top 25 collaborators of Italia De Feis. A scholar is included among the top collaborators of Italia De Feis 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 Italia De Feis. Italia De Feis 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 47 | |
| 10 | 22 | |
| 11 | 13 | |
| 12 | 36 | |
| 13 | 59 | |
| 14 | 1 | |
| 15 | Analyzing the Whole Transcriptome by RNA-Seq Data: The Tip of the Iceberg. | 2 |
| 16 | 30 | |
| 17 | 3 | |
| 18 | 60 | |
| 19 | 20 | |
| 20 | 2 |
About Italia De Feis
Italia De Feis is a scholar working on Statistics and Probability, Atmospheric Science and Mathematical Physics, having authored 53 papers that have together received 979 indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (9 papers), Meteorological Phenomena and Simulations (7 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (108 citations), Atmospheric Science (163 citations) and Environmental Engineering (106 citations). Italia De Feis has collaborated with scholars based in Italy, France and South Africa. Frequent co-authors include Claudia Angelini, Valerio Costa, Alfredo Ciccodicola, Umberto Amato, Carmine Serio, Anestis Antoniadis, Annamaria Carissimo, Theofanis Sapatinas, Panagiotis Besbeas and Guido Masiello. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.