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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oscar Alves Australia 29 2.4k 1.9k 1.2k 172 130 67 2.6k
Andrew Colman United Kingdom 16 2.9k 1.2× 2.3k 1.2× 1.2k 0.9× 149 0.9× 139 1.1× 25 3.2k
Nicolas Fauchereau South Africa 27 1.7k 0.7× 1.4k 0.7× 812 0.7× 187 1.1× 46 0.4× 44 2.2k
Eun‐Pa Lim Australia 32 2.4k 1.0× 2.2k 1.2× 715 0.6× 98 0.6× 81 0.6× 61 2.7k
Belén Rodríguez‐Fonseca Spain 31 2.6k 1.1× 1.9k 1.0× 1.5k 1.2× 84 0.5× 47 0.4× 98 2.9k
Martin Dix Australia 22 2.5k 1.0× 2.0k 1.1× 686 0.6× 149 0.9× 124 1.0× 54 2.9k
Michael S. Halpert United States 20 2.4k 1.0× 1.9k 1.0× 911 0.7× 170 1.0× 56 0.4× 29 2.7k
Christopher E. Holloway United Kingdom 24 2.5k 1.1× 2.5k 1.4× 681 0.5× 124 0.7× 111 0.9× 66 3.0k
T. J. Ansell United Kingdom 11 1.9k 0.8× 1.5k 0.8× 1.0k 0.8× 115 0.7× 44 0.3× 11 2.2k
Christina M. Patricola United States 30 2.2k 0.9× 2.1k 1.1× 841 0.7× 111 0.6× 84 0.6× 74 2.7k
Debra Hudson Australia 24 1.4k 0.6× 1.0k 0.6× 399 0.3× 110 0.6× 111 0.9× 44 1.6k

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
1.
Widlansky, Matthew J., Magdalena Balmaseda, Claire M. Spillman, et al.. (2023). Quantifying the Benefits of Altimetry Assimilation in Seasonal Forecasts of the Upper Ocean. Journal of Geophysical Research Oceans. 128(5). 8 indexed citations
2.
Bytyçi, Ibadete, et al.. (2022). Left Ventricular Myocardial and Cavity Velocity Disturbances Are Powerful Predictors of Significant Coronary Artery Stenosis. Journal of Clinical Medicine. 11(20). 6185–6185. 3 indexed citations
3.
Sharmila, S., Harry H. Hendon, Oscar Alves, Antje Weisheimer, & Magdalena Balmaseda. (2022). Contrasting El Niño–La Niña Predictability and Prediction Skill in 2-Year Reforecasts of the Twentieth Century. Journal of Climate. 36(5). 1269–1285. 14 indexed citations
4.
Hudson, Debra, Oscar Alves, Harry H. Hendon, et al.. (2020). Corrigendum to : ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth System Science. 70(1). 393–393. 4 indexed citations
5.
Luo, Jing‐Jia, Harry H. Hendon, & Oscar Alves. (2019). Multi-year prediction of ENSO. EGU General Assembly Conference Abstracts. 5176. 1 indexed citations
6.
Burgh-Day, Catherine de, Claire M. Spillman, Craig Stevens, Oscar Alves, & G. J. Rickard. (2018). Predicting seasonal ocean variability around New Zealand using a coupled ocean‐atmosphere model. New Zealand Journal of Marine and Freshwater Research. 53(2). 201–221. 9 indexed citations
7.
Luo, Jing‐Jia, et al.. (2018). Multimodel Prediction Skills of the Somali and Maritime Continent Cross-Equatorial Flows. Journal of Climate. 31(6). 2445–2464. 3 indexed citations
8.
Luo, Jing‐Jia, Guoqiang Liu, Harry H. Hendon, Oscar Alves, & Toshio Yamagata. (2017). Inter-basin sources for two-year predictability of the multi-year La Niña event in 2010–2012. Scientific Reports. 7(1). 2276–2276. 79 indexed citations
9.
Alves, Oscar, et al.. (2014). A coupled ensemble ocean data assimilation system for seasonal prediction and its comparison with other state-of-the-art systems. EGU General Assembly Conference Abstracts. 9487. 2 indexed citations
10.
Marshall, Andrew G., Debra Hudson, Harry H. Hendon, et al.. (2013). Simulation and prediction of blocking in the Australian region and its influence on intra-seasonal rainfall in POAMA-2. Climate Dynamics. 42(11-12). 3271–3288. 25 indexed citations
11.
Asseng, Senthold, et al.. (2012). Managing mixed wheat–sheep farms with a seasonal forecast. Agricultural Systems. 113. 50–56. 21 indexed citations
12.
Shi, Li, Harry H. Hendon, Oscar Alves, et al.. (2012). How Predictable is the Indian Ocean Dipole?. Monthly Weather Review. 140(12). 3867–3884. 91 indexed citations
13.
Spillman, Claire M., et al.. (2011). Using dynamical seasonal forecasts in marine management. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 5 indexed citations
14.
Hudson, Debra, Andrew G. Marshall, & Oscar Alves. (2011). Intraseasonal forecasting of the 2009 summer and winter Australian heat waves using POAMA. Weather and Forecasting. 3583685036–3583685036. 21 indexed citations
15.
Marshall, Andrew G., Debra Hudson, Matthew C. Wheeler, Harry H. Hendon, & Oscar Alves. (2011). Simulation and prediction of the Southern Annular Mode and its influence on Australian intra-seasonal climate in POAMA. Climate Dynamics. 38(11-12). 2483–2502. 47 indexed citations
16.
Hudson, Debra, et al.. (2010). Predictive Ocean Atmosphere Model for Australia (POAMA). 1 indexed citations
17.
Spillman, Claire M., Oscar Alves, & Debra Hudson. (2010). Seasonal Prediction of Thermal Stress Accumulation for Coral Bleaching in the Tropical Oceans. Monthly Weather Review. 139(2). 317–331. 18 indexed citations
18.
Yin, Yonghong, Oscar Alves, & Peter R. Oke. (2010). An Ensemble Ocean Data Assimilation System for Seasonal Prediction. Monthly Weather Review. 139(3). 786–808. 108 indexed citations
19.
Plummer, Neil, Narendra Tuteja, Quan J. Wang, et al.. (2009). A seasonal water availability prediction service: opportunities and challenges. Congress on Modelling and Simulation. 14 indexed citations
20.
Hendon, Harry H., Eun‐Pa Lim, Guomin Wang, Oscar Alves, & Debra Hudson. (2009). Prospects for predicting two flavors of El Niño. Geophysical Research Letters. 36(19). 124 indexed citations

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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