M. De Cecco

56 papers and 482 indexed citations i.

About

M. De Cecco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, M. De Cecco has authored 56 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 12 papers in Biomedical Engineering. Recurrent topics in M. De Cecco’s work include Robotics and Sensor-Based Localization (8 papers), Optical measurement and interference techniques (6 papers) and EEG and Brain-Computer Interfaces (6 papers). M. De Cecco is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Optical measurement and interference techniques (6 papers) and EEG and Brain-Computer Interfaces (6 papers). M. De Cecco collaborates with scholars based in Italy, Japan and Austria. M. De Cecco's co-authors include Marco Pertile, F. Angrilli, Manuela Galli, Matteo Zanetti, Matteo Zago, Marco Tarabini, D. Bortoluzzi, M. Benedetti, Mauro Da Lio and Giandomenico Nollo and has published in prestigious journals such as Sensors, Review of Scientific Instruments and Mechanical Systems and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of M. De Cecco i

Fields of papers citing papers by M. De Cecco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. De Cecco. 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 M. De Cecco. The network helps show where M. De Cecco may publish in the future.

Countries citing papers authored by M. De Cecco

Since Specialization
Citations

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