Transinformação

547 papers and 1.7k indexed citations

About

The 547 papers published in Transinformação in the last decades have received a total of 1.7k indexed citations. Papers published in Transinformação usually cover Information Systems (296 papers), Information Systems and Management (167 papers) and Sociology and Political Science (156 papers) specifically the topics of Information Science and Libraries (240 papers), Business and Management Studies (154 papers) and Education and Digital Technologies (113 papers). The most active scholars publishing in Transinformação are Jesús Pascual Mena‐Chalco, Carmen Gálvez, Raimundo Nonato Macedo dos Santos, Eduardo A. Haddad, Francisco Segado‐Boj, María Nélida González de Gómez, Wolfgang Glänzel, Rogério Mugnaini, Maria Inês Tomaél and Luís Fernando Sayão.

In The Last Decade

Transinformação

415 papers receiving 1.5k citations

Fields of papers published in Transinformação

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Transinformação. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Transinformação.

Countries where authors publish in Transinformação

Since Specialization
Citations

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