Carolina Nobre
- Atmospheric Science top 5%
- Oceanography top 5%
- Computer Vision and Pattern Recognition top 5%
- Environmental Chemistry top 5%
- Global and Planetary Change
- Co-authors
- Robert S. PickartAlexander LexG. W. K. MooreMiriah MeyerMarc StreitFrank BahrThomas J. WeingartnerChongyuan Mao
- Topics
- Data Visualization and Analytics (14 papers)Oceanographic and Atmospheric Processes (8 papers)Arctic and Antarctic ice dynamics (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaDeep Sea Research Part II Topical Studies in OceanographyIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Carolina Nobre
28 papers receiving 604 citations
Peers
Comparison fields: 5 of 75
- Atmospheric Science 322
- Oceanography 281
- Computer Vision and Pattern Recognition 169
- Environmental Chemistry 141
- Global and Planetary Change 90
Countries citing papers authored by Carolina Nobre
This map shows the geographic impact of Carolina Nobre'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 Carolina Nobre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Nobre more than expected).
Fields of papers citing papers by Carolina Nobre
This network shows the impact of papers produced by Carolina Nobre. 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 Carolina Nobre. The network helps show where Carolina Nobre may publish in the future.
Co-authorship network of co-authors of Carolina Nobre
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Nobre. A scholar is included among the top collaborators of Carolina Nobre 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 Carolina Nobre. Carolina Nobre 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 27 | |
| 18 | 34 | |
| 19 | 87 | |
| 20 | Cruise Report RRS James Clark Ross JR267 | 3 |
About Carolina Nobre
Carolina Nobre is a scholar working on Oceanography, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 32 papers that have together received 627 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Oceanographic and Atmospheric Processes (8 papers) and Arctic and Antarctic ice dynamics (8 papers). The work is most often cited by research in Oceanography (281 citations), Atmospheric Science (322 citations) and Environmental Chemistry (141 citations). Carolina Nobre has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Robert S. Pickart, Alexander Lex, G. W. K. Moore, Miriah Meyer, Marc Streit, Frank Bahr, Thomas J. Weingartner, Chongyuan Mao, Terry E. Whitledge and Maria N. Pisareva. Their work appears in journals such as SHILAP Revista de lepidopterología, Deep Sea Research Part II Topical Studies in Oceanography and IEEE Transactions on Visualization and Computer Graphics.
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.