Fábio Sartori

38 papers and 603 indexed citations i.

About

Fábio Sartori is a scholar working on Artificial Intelligence, Soil Science and Plant Science. According to data from OpenAlex, Fábio Sartori has authored 38 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Soil Science and 6 papers in Plant Science. Recurrent topics in Fábio Sartori’s work include Semantic Web and Ontologies (10 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and AI-based Problem Solving and Planning (6 papers). Fábio Sartori is often cited by papers focused on Semantic Web and Ontologies (10 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and AI-based Problem Solving and Planning (6 papers). Fábio Sartori collaborates with scholars based in Italy, United States and Brazil. Fábio Sartori's co-authors include Rattan Lal, M. H. Ebinger, James A. Eaton, Daniel Markewitz, David J. Parrish, Christopher Craft, Alessandro Mosca, Angelo Di Gregorio, Gianluca Colombo and Alice Mazzucchelli and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Chemosphere.

In The Last Decade

Co-authorship network of co-authors of Fábio Sartori i

Fields of papers citing papers by Fábio Sartori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fábio Sartori

Since Specialization
Citations

This map shows the geographic impact of Fábio Sartori'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 Sartori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Sartori 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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2025