Daniel Leite

77 papers and 1.4k indexed citations i.

About

Daniel Leite is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Leite has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Leite’s work include Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (12 papers) and Adaptation to Concept Drift in Data Streams (11 papers). Daniel Leite is often cited by papers focused on Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (12 papers) and Adaptation to Concept Drift in Data Streams (11 papers). Daniel Leite collaborates with scholars based in Brazil, Portugal and Slovenia. Daniel Leite's co-authors include Fernando Gomide, Pyramo Costa, Igor Škrjanc, Araceli Sanchis, José Antonio Iglesias, Edwin Lughofer, Nuno Bettencourt, Vasco Gama, Rosângela Ballini and João Rocha and has published in prestigious journals such as Journal of the American College of Cardiology, Sensors and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Daniel Leite i

Fields of papers citing papers by Daniel Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Leite

Since Specialization
Citations

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