Grazia Iadarola

32 papers and 236 indexed citations i.

About

Grazia Iadarola is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Grazia Iadarola has authored 32 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 7 papers in Computational Mechanics. Recurrent topics in Grazia Iadarola’s work include Non-Invasive Vital Sign Monitoring (10 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Grazia Iadarola is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Grazia Iadarola collaborates with scholars based in Italy. Grazia Iadarola's co-authors include Susanna Spinsante, Luca De Vito, Angelica Poli, Francesco Picariello, Pasquale Daponte, Ioan Tudosa, Sergio Rapuano, Eulalia Balestrieri, Ennio Gambi and Francesco Lamonaca and has published in prestigious journals such as Sensors, Remote Sensing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Co-authorship network of co-authors of Grazia Iadarola i

Fields of papers citing papers by Grazia Iadarola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grazia Iadarola

Since Specialization
Citations

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