Ivette Luna
Impact in
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
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- Stock Market Forecasting Methods
Papers in
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- Neural Networks and Applications 12
- Fuzzy Logic and Control Systems 6
- Machine Learning and ELM 4
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- Hydrological Forecasting Using AI 11
- Co-authors
- Rosângela Ballini (14 shared papers)Hugo Valadares Siqueira (8 shared papers)S. Soares (10 shared papers)Levy Boccato (3 shared papers)Christiano Lyra (3 shared papers)Romis Attux (3 shared papers)Paulo S. F. Barbosa (3 shared papers)João Fausto Lorenzato de Oliveira (1 shared paper)
In The Last Decade
Ivette Luna
35 papers receiving 279 citations
Peers
Comparison fields: 5 of 65
- Environmental Engineering 85
- Management Science and Operations Research 63
- Ocean Engineering 50
- Artificial Intelligence 101
- Water Science and Technology 39
Countries citing papers authored by Ivette Luna
This map shows the geographic impact of Ivette Luna'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 Ivette Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivette Luna more than expected).
Fields of papers citing papers by Ivette Luna
This network shows the impact of papers produced by Ivette Luna. 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 Ivette Luna. The network helps show where Ivette Luna may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivette Luna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2011 | 34 | |
| 3 | 2020 | 31 | |
| 4 | Performance comparison of feedforward neural networks applied to stream flow series forecasting | 2019 | 26 |
| 5 | 2009 | 25 | |
| 6 | 2012 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2012 | 12 | |
| 10 | 2015 | 9 | |
| 11 | 2009 | 8 | |
| 12 | 2007 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2012 | 3 | |
| 20 | 2006 | 3 |
About Ivette Luna
Ivette Luna is a scholar working on Artificial Intelligence, Environmental Engineering, Electrical and Electronic Engineering, Management Science and Operations Research and Ocean Engineering, having authored 38 papers that have together received 286 indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Hydrological Forecasting Using AI (11 papers), Energy Load and Power Forecasting (10 papers), Stock Market Forecasting Methods (7 papers), Fuzzy Logic and Control Systems (6 papers), Water resources management and optimization (5 papers), Machine Learning and ELM (4 papers) and Water Systems and Optimization (4 papers). The work is most often cited by research in Environmental Engineering (85 citations), Management Science and Operations Research (63 citations), Ocean Engineering (50 citations), Artificial Intelligence (101 citations) and Water Science and Technology (39 citations). Ivette Luna has collaborated with scholars based in Brazil, Italy and Canada. Frequent co-authors include Rosângela Ballini, Hugo Valadares Siqueira, S. Soares, Levy Boccato, Christiano Lyra, Romis Attux, Paulo S. F. Barbosa, João Fausto Lorenzato de Oliveira, João E. G. Lopes and Mariana Macedo. Their work appears in journals such as Frontiers in Veterinary Science, International Journal of Forecasting, Applied Soft Computing, Food Policy and International Transactions in Operational Research.
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.