Uirá Kulesza

43 papers and 307 indexed citations i.

About

Uirá Kulesza is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Uirá Kulesza has authored 43 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 29 papers in Artificial Intelligence and 11 papers in Management Information Systems. Recurrent topics in Uirá Kulesza’s work include Advanced Software Engineering Methodologies (26 papers), Software Engineering Research (25 papers) and QoS-Aware Web Services Composition and Semantic Matching (17 papers). Uirá Kulesza is often cited by papers focused on Advanced Software Engineering Methodologies (26 papers), Software Engineering Research (25 papers) and QoS-Aware Web Services Composition and Semantic Matching (17 papers). Uirá Kulesza collaborates with scholars based in Brazil, Australia and United Kingdom. Uirá Kulesza's co-authors include Daniel Alencar da Costa, Shane McIntosh, Ahmed E. Hassan, Roberta Coelho, Weiyi Shang, Carlos Lucena, Christoph Treude, Fernando Figueira Filho, Ana Moreira and Vander Alves and has published in prestigious journals such as Information Sciences, IEEE Transactions on Software Engineering and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Uirá Kulesza i

Fields of papers citing papers by Uirá Kulesza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uirá Kulesza

Since Specialization
Citations

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