João Gama

218 papers and 8.3k indexed citations i.

About

João Gama is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, João Gama has authored 218 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Artificial Intelligence, 46 papers in Signal Processing and 32 papers in Information Systems. Recurrent topics in João Gama’s work include Adaptation to Concept Drift in Data Streams (88 papers), Anomaly Detection Techniques and Applications (44 papers) and Machine Learning and Data Classification (42 papers). João Gama is often cited by papers focused on Adaptation to Concept Drift in Data Streams (88 papers), Anomaly Detection Techniques and Applications (44 papers) and Machine Learning and Data Classification (42 papers). João Gama collaborates with scholars based in Portugal, Brazil and United States. João Gama's co-authors include Albert Bifet, Indrė Žliobaitė, Mykola Pechenizkiy, Abdelhamid Bouchachia, Hadi Fanaee‐T, Pedro Pereira Rodrigues, André C. P. L. F. de Carvalho, Luís Moreira-Matias, Mohamed Medhat Gaber and Leandro L. Minku and has published in prestigious journals such as IEEE Transactions on Power Systems, Journal of Biomechanics and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of João Gama i

Fields of papers citing papers by João Gama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by João Gama

Since Specialization
Citations

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