Leonardo Goliatt

67 papers and 719 indexed citations i.

About

Leonardo Goliatt is a scholar working on Artificial Intelligence, Environmental Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Leonardo Goliatt has authored 67 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Environmental Engineering and 11 papers in Computational Theory and Mathematics. Recurrent topics in Leonardo Goliatt’s work include Hydrological Forecasting Using AI (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Leonardo Goliatt is often cited by papers focused on Hydrological Forecasting Using AI (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). Leonardo Goliatt collaborates with scholars based in Brazil, Saudi Arabia and Iraq. Leonardo Goliatt's co-authors include Egberto Pereira, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Afonso Celso de Castro Lemonge, Hélio J. C. Barbosa, Iman Ahmadianfar, Shamsuddin Shahid, Salim Heddam, Mou Leong Tan, Zulfaqar Sa’adi and Heder S. Bernardino and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Leonardo Goliatt i

Fields of papers citing papers by Leonardo Goliatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonardo Goliatt

Since Specialization
Citations

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