Inês Miranda

About

Inês Miranda is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Family Practice. According to data from OpenAlex, Inês Miranda has authored 4 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Family Practice. Recurrent topics in Inês Miranda’s work include COVID-19 diagnosis using AI (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Medication Adherence and Compliance (1 paper). Inês Miranda is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Medication Adherence and Compliance (1 paper). Inês Miranda collaborates with scholars based in Portugal and Germany. Inês Miranda's co-authors include Graça Minas, Rui Lima, João Ribeiro, Paulo Sousa, Elisabete M. S. Castanheira, Andrews Souza, Susana O. Catarino, Bernardo Faria, Violeta Carvalho and Senhorinha Teixeira and has published in prestigious journals such as Journal of Functional Biomaterials, Micromachines and RepositóriUM (Universidade do Minho).

In The Last Decade

Co-authorship network of co-authors of Inês Miranda i

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Fields of papers citing papers by Inês Miranda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inês Miranda

Since Specialization

Citations

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