Cássio Prazeres

20 papers and 79 indexed citations i.

About

Cássio Prazeres is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Cássio Prazeres has authored 20 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 9 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Cássio Prazeres’s work include IoT and Edge/Fog Computing (11 papers), Context-Aware Activity Recognition Systems (4 papers) and Cloud Computing and Resource Management (4 papers). Cássio Prazeres is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Context-Aware Activity Recognition Systems (4 papers) and Cloud Computing and Resource Management (4 papers). Cássio Prazeres collaborates with scholars based in Brazil, United States and New Zealand. Cássio Prazeres's co-authors include Gustavo B. Figueiredo, Ricardo A. Rios, Flávia C. Delicato, Schahram Dustdar, Fabíola Greve, Praveen Kumar Donta, Frederico Araújo Dur�ão, César A. C. Teixeira, Diego Rafael Nespeque Corrêa and Maycon Peixoto and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Computer Communications.

In The Last Decade

Co-authorship network of co-authors of Cássio Prazeres i

Fields of papers citing papers by Cássio Prazeres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cássio Prazeres

Since Specialization
Citations

This map shows the geographic impact of Cássio Prazeres'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 Cássio Prazeres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cássio Prazeres 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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2025