Luı́s Torgo

69 papers and 2.4k indexed citations i.

About

Luı́s Torgo is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Luı́s Torgo has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 19 papers in Signal Processing and 17 papers in Management Science and Operations Research. Recurrent topics in Luı́s Torgo’s work include Time Series Analysis and Forecasting (14 papers), Imbalanced Data Classification Techniques (12 papers) and Forecasting Techniques and Applications (11 papers). Luı́s Torgo is often cited by papers focused on Time Series Analysis and Forecasting (14 papers), Imbalanced Data Classification Techniques (12 papers) and Forecasting Techniques and Applications (11 papers). Luı́s Torgo collaborates with scholars based in Portugal, Canada and New Zealand. Luı́s Torgo's co-authors include Paula Branco, Rita P. Ribeiro, Joaquin Vanschoren, Bernd Bischl, Jan N. van Rijn, Manuel Herrera, Joaquín Izquierdo, Rafael Pérez-García, Vítor Cerqueira and João Gama and has published in prestigious journals such as PLoS ONE, Chemosphere and Journal of Hydrology.

In The Last Decade

Co-authorship network of co-authors of Luı́s Torgo i

Fields of papers citing papers by Luı́s Torgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luı́s Torgo

Since Specialization
Citations

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