Oscar Alves

4.5k total citations
67 papers, 2.6k citations indexed

About

Oscar Alves is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, Oscar Alves has authored 67 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Global and Planetary Change, 50 papers in Oceanography and 46 papers in Atmospheric Science. Recurrent topics in Oscar Alves's work include Climate variability and models (55 papers), Oceanographic and Atmospheric Processes (45 papers) and Meteorological Phenomena and Simulations (37 papers). Oscar Alves is often cited by papers focused on Climate variability and models (55 papers), Oceanographic and Atmospheric Processes (45 papers) and Meteorological Phenomena and Simulations (37 papers). Oscar Alves collaborates with scholars based in Australia, United Kingdom and United States. Oscar Alves's co-authors include Harry H. Hendon, Debra Hudson, Andrew G. Marshall, Matthew C. Wheeler, Guomin Wang, Yonghong Yin, Claire M. Spillman, Eun‐Pa Lim, Jing‐Jia Luo and Magdalena Balmaseda and has published in prestigious journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Oscar Alves

67 papers receiving 2.6k citations

Peers

Oscar Alves
Comparison fields: 5 of 66
  • Global and Planetary Change 2.4k
  • Atmospheric Science 1.9k
  • Oceanography 1.2k
  • Ecology 172
  • Environmental Engineering 130
Andrew Colman United Kingdom
Nicolas Fauchereau South Africa
Eun‐Pa Lim Australia
Belén Rodríguez‐Fonseca Spain
Martin Dix Australia
Michael S. Halpert United States
Christopher E. Holloway United Kingdom
T. J. Ansell United Kingdom
Christina M. Patricola United States
Debra Hudson Australia
Andrew Colman United Kingdom View profile →
Citations per field, relative to Oscar Alves
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Citations per year, relative to Oscar Alves
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Countries citing papers authored by Oscar Alves

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Alves. A scholar is included among the top collaborators of Oscar Alves 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 Oscar Alves. Oscar Alves 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
# Work Indexed citations
1 8
2 3
3 14
4 4
5
Multi-year prediction of ENSO
1
6 9
7 3
8 79
9
A coupled ensemble ocean data assimilation system for seasonal prediction and its comparison with other state-of-the-art systems
2
10 25
11 21
12 91
13 5
14 21
15 47
16
Predictive Ocean Atmosphere Model for Australia (POAMA)
1
17 18
18 108
19
A seasonal water availability prediction service: opportunities and challenges
14
20 124

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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