Grazia Cicirelli

34 papers and 554 indexed citations i.

About

Grazia Cicirelli is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Grazia Cicirelli has authored 34 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Grazia Cicirelli’s work include Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (9 papers) and Human Pose and Action Recognition (7 papers). Grazia Cicirelli is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (9 papers) and Human Pose and Action Recognition (7 papers). Grazia Cicirelli collaborates with scholars based in Italy, United States and Spain. Grazia Cicirelli's co-authors include Tiziana D’Orazio, Roberto Marani, Annalisa Milella, Arcangelo Distante, A. Distante, Donato Di Paola, Antonio Petitti, Donato Impedovo, Vincenzo Dentamaro and Ettore Stella and has published in prestigious journals such as Sensors, IEEE Access and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Grazia Cicirelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grazia Cicirelli

Since Specialization
Citations

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