Daniele De Gregorio

17 papers and 246 indexed citations i.

About

Daniele De Gregorio is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Daniele De Gregorio has authored 17 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Daniele De Gregorio’s work include Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (6 papers) and Advanced Vision and Imaging (5 papers). Daniele De Gregorio is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (6 papers) and Advanced Vision and Imaging (5 papers). Daniele De Gregorio collaborates with scholars based in Italy, Saudi Arabia and United Kingdom. Daniele De Gregorio's co-authors include Claudio Melchiorri, Gianluca Palli, Luigi Di Stefano, Salvatore Pirozzi, Luca Benini, Umberto Scarcia, Simone Benatti, Alessio Tonioni, Fabio Tosi and Matteo Poggi and has published in prestigious journals such as IEEE Access, ACS Photonics and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniele De Gregorio i

Fields of papers citing papers by Daniele De Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele De Gregorio

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025