Edward J. Kearns
- Oceanography top 2%
- Global and Planetary Change top 5%
- Atmospheric Science top 5%
- Ecology top 10%
- Information Systems top 10%
- Co-authors
- Mary‐Elena CarrOtis B. BrownPeter J. MinnettRobert H. EvansT. RossbyJenny HanafinA. E. StrongSteve Ansari
- Topics
- Oceanographic and Atmospheric Processes (9 papers)Meteorological Phenomena and Simulations (4 papers)Climate variability and models (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of Geophysical Research Atmospheres
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Edward J. Kearns
25 papers receiving 782 citations
Peers
Comparison fields: 5 of 80
- Oceanography 470
- Global and Planetary Change 425
- Atmospheric Science 304
- Ecology 158
- Information Systems 54
Countries citing papers authored by Edward J. Kearns
This map shows the geographic impact of Edward J. Kearns'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 Edward J. Kearns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Kearns more than expected).
Fields of papers citing papers by Edward J. Kearns
This network shows the impact of papers produced by Edward J. Kearns. 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 Edward J. Kearns. The network helps show where Edward J. Kearns may publish in the future.
Co-authorship network of co-authors of Edward J. Kearns
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Kearns. A scholar is included among the top collaborators of Edward J. Kearns 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 Edward J. Kearns. Edward J. Kearns 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 | 8 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | Making Data Available on the Cloud for Decision Support Applications through NOAA's Big Data Project | 1 |
| 8 | 22 | |
| 9 | NOAA's Big Data Partnership at the National Centers for Environmental Information | 3 |
| 10 | 6 | |
| 11 | 39 | |
| 12 | 18 | |
| 13 | 65 | |
| 14 | 237 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 30 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | CTD and Bottle Data from Leg 1: 20 December 1986 - 18 January 1987. Leg 2: 17 July - 15 August 1987 | 1 |
About Edward J. Kearns
Edward J. Kearns is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change, having authored 27 papers that have together received 835 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (9 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (4 papers). The work is most often cited by research in Oceanography (470 citations), Global and Planetary Change (425 citations) and Atmospheric Science (304 citations). Edward J. Kearns has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mary‐Elena Carr, Otis B. Brown, Peter J. Minnett, Robert H. Evans, T. Rossby, Jenny Hanafin, A. E. Strong, Steve Ansari, J. L. Privette and Ge Peng. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.
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.