Rodrigo de Salvo Braz

About

Rodrigo de Salvo Braz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial relations. According to data from OpenAlex, Rodrigo de Salvo Braz has authored 4 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 0 papers in Industrial relations. Recurrent topics in Rodrigo de Salvo Braz’s work include Bayesian Modeling and Causal Inference (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Data Quality and Management (2 papers). Rodrigo de Salvo Braz is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Data Quality and Management (2 papers). Rodrigo de Salvo Braz collaborates with scholars based in United States. Rodrigo de Salvo Braz's co-authors include Dan Roth, Eyal Amir, Hung Bui, Tuyen N. Huynh, Jaesik Choi, Vasin Punyakanok, Roxana Gîrju and Mark Sammons and has published in prestigious journals such as International Joint Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Rodrigo de Salvo Braz i

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Fields of papers citing papers by Rodrigo de Salvo Braz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo de Salvo Braz. 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 Rodrigo de Salvo Braz. The network helps show where Rodrigo de Salvo Braz may publish in the future.

Countries citing papers authored by Rodrigo de Salvo Braz

Since Specialization

Citations

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