Daniele De Martini

44 papers and 526 indexed citations i.

About

Daniele De Martini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Daniele De Martini has authored 44 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Daniele De Martini’s work include Robotics and Sensor-Based Localization (17 papers), Indoor and Outdoor Localization Technologies (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Daniele De Martini is often cited by papers focused on Robotics and Sensor-Based Localization (17 papers), Indoor and Outdoor Localization Technologies (9 papers) and Anomaly Detection Techniques and Applications (6 papers). Daniele De Martini collaborates with scholars based in United Kingdom, Italy and United States. Daniele De Martini's co-authors include Paul Newman, Matthew Gadd, Dan Barnes, Tullio Facchinetti, Changyang She, Guodong Zhao, Shangzhe Wu, Marco Piastra, Lars Kunze and Letizia Marchegiani and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Journal on Selected Areas in Communications.

In The Last Decade

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

Fields of papers citing papers by Daniele De Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele De Martini

Since Specialization
Citations

This map shows the geographic impact of Daniele De Martini'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 Martini 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 Martini 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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