Jennifer Nakamura
- Global and Planetary Change top 0.5%
- Atmospheric Science top 1%
- Water Science and Technology top 5%
- Oceanography top 5%
- Ecology top 10%
- Co-authors
- Richard SeagerYochanan KushnirMingfang TingNaomi NaikNaomi HendersonHaibo LiuAlexandrina TzanovaCuihua Li
- Topics
- Climate variability and models (28 papers)Meteorological Phenomena and Simulations (17 papers)Tropical and Extratropical Cyclones Research (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of ClimateGeophysical Research Letters
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Jennifer Nakamura
32 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 90
- Global and Planetary Change 2.2k
- Atmospheric Science 1.5k
- Water Science and Technology 377
- Oceanography 331
- Ecology 274
Countries citing papers authored by Jennifer Nakamura
This map shows the geographic impact of Jennifer Nakamura'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 Jennifer Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Nakamura more than expected).
Fields of papers citing papers by Jennifer Nakamura
This network shows the impact of papers produced by Jennifer Nakamura. 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 Jennifer Nakamura. The network helps show where Jennifer Nakamura may publish in the future.
Co-authorship network of co-authors of Jennifer Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Nakamura. A scholar is included among the top collaborators of Jennifer Nakamura 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 Jennifer Nakamura. Jennifer Nakamura 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 | 21 | |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 22 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 172 | |
| 10 | 73 | |
| 11 | 65 | |
| 12 | 0 | |
| 13 | 202 | |
| 14 | 102 | |
| 15 | 8 | |
| 16 | 83 | |
| 17 | 73 | |
| 18 | 190 | |
| 19 | 81 | |
| 20 | 145 |
About Jennifer Nakamura
Jennifer Nakamura is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Climate variability and models (28 papers), Meteorological Phenomena and Simulations (17 papers) and Tropical and Extratropical Cyclones Research (15 papers). The work is most often cited by research in Global and Planetary Change (2.2k citations), Atmospheric Science (1.5k citations) and Oceanography (331 citations). Jennifer Nakamura has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Richard Seager, Yochanan Kushnir, Mingfang Ting, Naomi Naik, Naomi Henderson, Haibo Liu, Alexandrina Tzanova, Cuihua Li, Park Williams and Arun Kumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.
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.