Corene J. Matyas
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Sociology and Political Science top 5%
- Oceanography top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Jorge VillegasLori Pennington‐GraySivaramakrishnan SrinivasanBrijesh ThapaIgnatius CahyantoYao ZhouJulie A. SilvaKevin D. Ash
- Topics
- Tropical and Extratropical Cyclones Research (45 papers)Climate variability and models (35 papers)Meteorological Phenomena and Simulations (22 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Corene J. Matyas
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Global and Planetary Change 769
- Atmospheric Science 751
- Sociology and Political Science 262
- Oceanography 203
- Pathology and Forensic Medicine 133
Countries citing papers authored by Corene J. Matyas
This map shows the geographic impact of Corene J. Matyas'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 Corene J. Matyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corene J. Matyas more than expected).
Fields of papers citing papers by Corene J. Matyas
This network shows the impact of papers produced by Corene J. Matyas. 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 Corene J. Matyas. The network helps show where Corene J. Matyas may publish in the future.
Co-authorship network of co-authors of Corene J. Matyas
This figure shows the co-authorship network connecting the top 25 collaborators of Corene J. Matyas. A scholar is included among the top collaborators of Corene J. Matyas 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 Corene J. Matyas. Corene J. Matyas 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 | 5 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 30 | |
| 10 | 27 | |
| 11 | 153 | |
| 12 | 21 | |
| 13 | 24 | |
| 14 | 42 | |
| 15 | 18 | |
| 16 | 35 | |
| 17 | 125 | |
| 18 | 1 | |
| 19 | Florida Tropical Cyclone Rainfall Totals as Related to Storm Location and Intensity | 0 |
| 20 | Analyzing Tropical Cyclone Rain Shields According to Storm Size | 1 |
About Corene J. Matyas
Corene J. Matyas is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (45 papers), Climate variability and models (35 papers) and Meteorological Phenomena and Simulations (22 papers). The work is most often cited by research in Atmospheric Science (751 citations), Global and Planetary Change (769 citations) and Oceanography (203 citations). Corene J. Matyas has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jorge Villegas, Lori Pennington‐Gray, Sivaramakrishnan Srinivasan, Brijesh Thapa, Ignatius Cahyanto, Yao Zhou, Julie A. Silva, Kevin D. Ash, Sean B. Cash and John Richard Stepp. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Climate.
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.