Lisa Milani
- Atmospheric Science top 5%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Oceanography
- Aerospace Engineering
- Co-authors
- Mark S. KulieNorman B. WoodPaolo SanòGiulia PanegrossiFederico PorcùStefano DietrichDaniele CasellaTristan L’Ecuyer
- Topics
- Meteorological Phenomena and Simulations (21 papers)Precipitation Measurement and Analysis (20 papers)Cryospheric studies and observations (15 papers)
- Journals
- Geophysical Research LettersIEEE Transactions on Geoscience and Remote SensingQuarterly Journal of the Royal Meteorological Society
- Partner nations
- United StatesItalyFrance
In The Last Decade
Lisa Milani
21 papers receiving 527 citations
Peers
Comparison fields: 5 of 18
- Atmospheric Science 527
- Global and Planetary Change 237
- Environmental Engineering 81
- Oceanography 11
- Aerospace Engineering 11
Countries citing papers authored by Lisa Milani
This map shows the geographic impact of Lisa Milani'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 Lisa Milani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Milani more than expected).
Fields of papers citing papers by Lisa Milani
This network shows the impact of papers produced by Lisa Milani. 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 Lisa Milani. The network helps show where Lisa Milani may publish in the future.
Co-authorship network of co-authors of Lisa Milani
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Milani. A scholar is included among the top collaborators of Lisa Milani 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 Lisa Milani. Lisa Milani 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 | 6 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 30 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 26 | |
| 12 | CloudSat Bias on Falling Snow Estimates Over the Daylight Only Operational Period (2012-2019). | 2 |
| 13 | 33 | |
| 14 | 52 | |
| 15 | 1 | |
| 16 | 39 | |
| 17 | 88 | |
| 18 | 12 | |
| 19 | 53 | |
| 20 | 6 |
About Lisa Milani
Lisa Milani is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (21 papers), Precipitation Measurement and Analysis (20 papers) and Cryospheric studies and observations (15 papers). The work is most often cited by research in Atmospheric Science (527 citations), Global and Planetary Change (237 citations) and Environmental Engineering (81 citations). Lisa Milani has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mark S. Kulie, Norman B. Wood, Paolo Sanò, Giulia Panegrossi, Federico Porcù, Stefano Dietrich, Daniele Casella, Tristan L’Ecuyer, Gail Skofronick‐Jackson and Marco Petracca. Their work appears in journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Quarterly Journal of the Royal Meteorological Society.
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.