Aranildo R. Lima
- Environmental Engineering top 5%
- Water Science and Technology top 10%
- Artificial Intelligence top 10%
- Global and Planetary Change top 10%
- Electrical and Electronic Engineering
- Co-authors
- Alex J. CannonWilliam W. HsiehTiago A. E. FerreiraPaulo S. G. de Mattos NetoJared WillardValerie HendrixCharuleka VaradharajanDanielle Christianson
- Topics
- Neural Networks and Applications (8 papers)Hydrological Forecasting Using AI (6 papers)Energy Load and Power Forecasting (6 papers)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Aranildo R. Lima
19 papers receiving 464 citations
Peers
Comparison fields: 5 of 62
- Environmental Engineering 287
- Water Science and Technology 162
- Artificial Intelligence 138
- Global and Planetary Change 124
- Electrical and Electronic Engineering 113
Countries citing papers authored by Aranildo R. Lima
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).
Fields of papers citing papers by Aranildo R. Lima
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.
Co-authorship network of co-authors of Aranildo R. Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Aranildo R. Lima. A scholar is included among the top collaborators of Aranildo R. Lima 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 Aranildo R. Lima. Aranildo R. Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 30 | |
| 7 | 56 | |
| 8 | 14 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 100 | |
| 13 | 74 | |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 5 |
About Aranildo R. Lima
Aranildo R. Lima is a scholar working on Management Science and Operations Research, Environmental Engineering and Artificial Intelligence, having authored 20 papers that have together received 476 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Hydrological Forecasting Using AI (6 papers) and Energy Load and Power Forecasting (6 papers). The work is most often cited by research in Environmental Engineering (287 citations), Water Science and Technology (162 citations) and Global and Planetary Change (124 citations). Aranildo R. Lima has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Alex J. Cannon, William W. Hsieh, Tiago A. E. Ferreira, Paulo S. G. de Mattos Neto, Jared Willard, Valerie Hendrix, Charuleka Varadharajan, Danielle Christianson, George D. C. Cavalcanti and Juliane Müller. Their work appears in journals such as Journal of Hydrology, Neural Networks and Hydrological Processes.
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.