Maisa Rojas

4.4k citations
62 papers · 2.8k indexed · 1 hit paper · h-index 29
Topics
Climate variability and models (33 papers)Geology and Paleoclimatology Research (21 papers)Meteorological Phenomena and Simulations (13 papers)
Partner nations
ChileUnited StatesFrance

In The Last Decade

Maisa Rojas

60 papers receiving 2.7k citations

Hit Papers

Large-Scale Control on the Patagonian Climate20122026201620212012100200300400

Peers

Maisa Rojas
Comparison fields: 5 of 110
  • Atmospheric Science 1.9k
  • Global and Planetary Change 1.5k
  • Ecology 388
  • Oceanography 254
  • Water Science and Technology 247
Replace Rosa Hilda Compagnucci with:
Rosa Hilda Compagnucci Argentina
Byron A. Steinman United States
Frank T. Keimig United States
Douglas R. Hardy United States
Steven J. Phipps Australia
Xianmei Lang China
O. Elison Timm United States
Joyce Bosmans Netherlands
Thomas Raddatz Germany
Jessica L. Conroy United States
Maisa Rojas relative to Rosa Hilda Compagnucci Argentina Rosa Hilda Compagnucci's profile →
Citations per field
00.5×3.2×
Rosa Hilda Compagnucci · 1×
Citations per year

Countries citing papers authored by Maisa Rojas

Since Specialization
Citations

This map shows the geographic impact of Maisa Rojas'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 Maisa Rojas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maisa Rojas more than expected).

Fields of papers citing papers by Maisa Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maisa Rojas. 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 Maisa Rojas. The network helps show where Maisa Rojas may publish in the future.

Co-authorship network of co-authors of Maisa Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of Maisa Rojas. A scholar is included among the top collaborators of Maisa Rojas 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 Maisa Rojas. Maisa Rojas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 12
3 24
4 30
5 24
6 21
7 108
8 26
9 89
10 34
11 3
12 10
13 101
14 1
15 3
16 1
17 28
18
Sensitivity of Southern Hemisphere circulation to LGM and 4xCO2 climates
1
19 1
20 10

About Maisa Rojas

Maisa Rojas is a scholar working on Atmospheric Science, Global and Planetary Change and Modeling and Simulation, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Climate variability and models (33 papers), Geology and Paleoclimatology Research (21 papers) and Meteorological Phenomena and Simulations (13 papers). The work is most often cited by research in Atmospheric Science (1.9k citations), Global and Planetary Change (1.5k citations) and Earth-Surface Processes (230 citations). Maisa Rojas has collaborated with scholars based in Chile, United States and France. Frequent co-authors include René Garreaud, Marie Minvielle, P. López, Anji Seth, Patricio I. Moreno, Sara A. Rauscher, Juan Pablo Boisier, Deniz Bozkurt, Alessandra Giannini and Anji Seth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.

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