Fábio M. F. Lobato

About

Fábio M. F. Lobato is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Fábio M. F. Lobato has authored 14 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Management Science and Operations Research. Recurrent topics in Fábio M. F. Lobato’s work include Digital Marketing and Social Media (2 papers), Complex Network Analysis Techniques (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Fábio M. F. Lobato is often cited by papers focused on Digital Marketing and Social Media (2 papers), Complex Network Analysis Techniques (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Fábio M. F. Lobato collaborates with scholars based in Brazil, Germany and Japan. Fábio M. F. Lobato's co-authors include Ádamo Lima de Santana, Claudomiro Sales, Leonardo Ramos, Ândrea Ribeiro‐dos‐Santos, Gilderlânio Santana de Araújo, Rainer Alt, Olaf Reinhold, Marija Bezbradica, Markus Helfert and Sâmia Demachki and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Fábio M. F. Lobato i

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Fields of papers citing papers by Fábio M. F. Lobato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio M. F. Lobato. 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 Fábio M. F. Lobato. The network helps show where Fábio M. F. Lobato may publish in the future.

Countries citing papers authored by Fábio M. F. Lobato

Since Specialization

Citations

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