Júlio César Nievola

About

Júlio César Nievola is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Júlio César Nievola has authored 30 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Júlio César Nievola’s work include Time Series Analysis and Forecasting (5 papers), Imbalanced Data Classification Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Júlio César Nievola is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Imbalanced Data Classification Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Júlio César Nievola collaborates with scholars based in Brazil, United States and Canada. Júlio César Nievola's co-authors include Alessandro L. Koerich, María Teresinha Arns Steiner, Jean Paul Barddal, Nei Yoshihiro Soma, Carlos N. Silla, João Ricardo Nickenig Vissoci, Samuel Jorge Moysés, Déborah Ribeiro Carvalho, Emerson Cabrera Paraíso and Luciano de Andrade and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Júlio César Nievola i

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Fields of papers citing papers by Júlio César Nievola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Júlio César Nievola. 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 Júlio César Nievola. The network helps show where Júlio César Nievola may publish in the future.

Countries citing papers authored by Júlio César Nievola

Since Specialization

Citations

This map shows the geographic impact of Júlio César Nievola'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 Júlio César Nievola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Júlio César Nievola 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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