Aranildo R. Lima

About

Aranildo R. Lima is a scholar working on Artificial Intelligence, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Aranildo R. Lima has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Environmental Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Aranildo R. Lima’s work include Hydrological Forecasting Using AI (6 papers), Energy Load and Power Forecasting (5 papers) and Neural Networks and Applications (4 papers). Aranildo R. Lima is often cited by papers focused on Hydrological Forecasting Using AI (6 papers), Energy Load and Power Forecasting (5 papers) and Neural Networks and Applications (4 papers). Aranildo R. Lima collaborates with scholars based in Canada, Brazil and United States. Aranildo R. Lima's co-authors include Alex J. Cannon, William W. Hsieh, Paulo S. G. de Mattos Neto, Charuleka Varadharajan, Danielle Christianson, Jared Willard, Valerie Hendrix, George D. C. Cavalcanti, Tiago A. E. Ferreira and Jacob A. Zwart and has published in prestigious journals such as Journal of Hydrology, Neural Networks and Hydrological Processes.

In The Last Decade

Co-authorship network of co-authors of Aranildo R. Lima i

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Fields of papers citing papers by Aranildo R. Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aranildo R. Lima. 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 Aranildo R. Lima. The network helps show where Aranildo R. Lima may publish in the future.

Countries citing papers authored by Aranildo R. Lima

Since Specialization

Citations

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

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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