Michelle Mainelli
Impact in
- Atmospheric Science top 2%
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
- Oceanography top 2%
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
Papers in
-
- Tropical and Extratropical Cyclones Research 6
- Meteorological Phenomena and Simulations 4
-
- Ocean Waves and Remote Sensing 3
- Co-authors
- Mark DeMaria (2 shared papers)Lynn K. Shay (2 shared papers)John A. Knaff (1 shared paper)John Kaplan (1 shared paper)Gustavo Goñi (1 shared paper)Richard D. Knabb (4 shared papers)James L. Franklin (2 shared papers)Stacy R. Stewart (2 shared papers)
- Journals
- Weather and Forecasting (3 papers)Monthly Weather Review (2 papers)Weatherwise (1 paper)
- Partner nations
- United States
In The Last Decade
Michelle Mainelli
7 papers receiving 1.1k citations
Michelle Mainelli's Hit Papers
Peers
Comparison fields: 5 of 47
- Atmospheric Science 1.1k
- Oceanography 670
- Global and Planetary Change 811
- Earth-Surface Processes 39
- Environmental Engineering 21
Countries citing papers authored by Michelle Mainelli
This map shows the geographic impact of Michelle Mainelli'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 Michelle Mainelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Mainelli more than expected).
Fields of papers citing papers by Michelle Mainelli
This network shows the impact of papers produced by Michelle Mainelli. 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 Michelle Mainelli. The network helps show where Michelle Mainelli may publish in the future.
Co-authors
The 22 scholars most cited alongside Michelle Mainelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Further Improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS) Hit paper breakdown → | 2005 | 556 |
| 2 | 2008 | 340 | |
| 3 | 2008 | 196 | |
| 4 | 2009 | 34 | |
| 5 | 2008 | 18 | |
| 6 | Tropical cyclone wind speed probabilities and their relationships with coastal watches and warnings issued by the National Hurricane Center | 2008 | 2 |
| 7 | 2008 | 1 |
About Michelle Mainelli
Michelle Mainelli is a scholar working on Atmospheric Science, Oceanography, Global and Planetary Change, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (6 papers), Meteorological Phenomena and Simulations (4 papers), Ocean Waves and Remote Sensing (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Oceanography (670 citations), Global and Planetary Change (811 citations), Earth-Surface Processes (39 citations) and Environmental Engineering (21 citations). Michelle Mainelli has collaborated with scholars based in United States. Frequent co-authors include Mark DeMaria, Lynn K. Shay, John A. Knaff, John Kaplan, Gustavo Goñi, Richard D. Knabb, James L. Franklin, Stacy R. Stewart, Lixion A. Avila and Richard J. Pasch. Their work appears in journals such as Weather and Forecasting, Monthly Weather Review and Weatherwise.
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.