Leonardo de Moura

22 papers and 535 indexed citations i.

About

Leonardo de Moura is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Leonardo de Moura has authored 22 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 9 papers in Software. Recurrent topics in Leonardo de Moura’s work include Formal Methods in Verification (15 papers), Logic, programming, and type systems (15 papers) and Logic, Reasoning, and Knowledge (6 papers). Leonardo de Moura is often cited by papers focused on Formal Methods in Verification (15 papers), Logic, programming, and type systems (15 papers) and Logic, Reasoning, and Knowledge (6 papers). Leonardo de Moura collaborates with scholars based in United States, Germany and United Kingdom. Leonardo de Moura's co-authors include Nikolaj Bjørner, Dejan Jovanović, Clark Barrett, Aaron Stump, Christoph M. Wintersteiger, Youssef Hamadi, Cesare Tinelli, Andrew Reynolds, Ružica Piskač and Sebastian Ullrich and has published in prestigious journals such as Communications of the ACM, Lecture notes in computer science and Journal of Automated Reasoning.

In The Last Decade

Co-authorship network of co-authors of Leonardo de Moura i

Fields of papers citing papers by Leonardo de Moura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo de Moura. 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 Leonardo de Moura. The network helps show where Leonardo de Moura may publish in the future.

Countries citing papers authored by Leonardo de Moura

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025