Fabrício Enembreck

53 papers and 1.1k indexed citations i.

About

Fabrício Enembreck is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Fabrício Enembreck has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 9 papers in Signal Processing. Recurrent topics in Fabrício Enembreck’s work include Adaptation to Concept Drift in Data Streams (24 papers), Machine Learning and Data Classification (11 papers) and Time Series Analysis and Forecasting (8 papers). Fabrício Enembreck is often cited by papers focused on Adaptation to Concept Drift in Data Streams (24 papers), Machine Learning and Data Classification (11 papers) and Time Series Analysis and Forecasting (8 papers). Fabrício Enembreck collaborates with scholars based in Brazil, France and Canada. Fabrício Enembreck's co-authors include Jean Paul Barddal, Heitor Murilo Gomes, Albert Bifet, Jesse Read, Geoffrey Holmes, Talel Abdessalem, Bernhard Pfahringer, Angéla Barthes, Luiz S. Oliveira and Robert Sabourin and has published in prestigious journals such as Expert Systems with Applications, Sensors and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Fabrício Enembreck i

Fields of papers citing papers by Fabrício Enembreck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrício Enembreck. 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 Fabrício Enembreck. The network helps show where Fabrício Enembreck may publish in the future.

Countries citing papers authored by Fabrício Enembreck

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025