Marcelo Pias

20 papers and 1.1k indexed citations i.

About

Marcelo Pias is a scholar working on Computer Science Applications, Biomedical Engineering and Information Systems. According to data from OpenAlex, Marcelo Pias has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 5 papers in Biomedical Engineering and 4 papers in Information Systems. Recurrent topics in Marcelo Pias’s work include Teaching and Learning Programming (3 papers), Gait Recognition and Analysis (2 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). Marcelo Pias is often cited by papers focused on Teaching and Learning Programming (3 papers), Gait Recognition and Analysis (2 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). Marcelo Pias collaborates with scholars based in Brazil, United Kingdom and United States. Marcelo Pias's co-authors include Ravi Sharma, Jon Crowcroft, seongwon lim, Eng Keong Lua, Salman Taherian, Paul W. Franks, Emmanuel Dean-León, M. Eder, Ulf Ekelund and Alexander Horsch and has published in prestigious journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Marcelo Pias i

Fields of papers citing papers by Marcelo Pias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcelo Pias

Since Specialization
Citations

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