Daniele Calisi

18 papers and 152 indexed citations i.

About

Daniele Calisi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Daniele Calisi has authored 18 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Geology. Recurrent topics in Daniele Calisi’s work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers) and 3D Surveying and Cultural Heritage (5 papers). Daniele Calisi is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers) and 3D Surveying and Cultural Heritage (5 papers). Daniele Calisi collaborates with scholars based in Italy, United States and Sweden. Daniele Calisi's co-authors include Daniele Nardi, Luca Iocchi, Andrea Censi, Alessandro Farinelli, Giuseppe Oriolo, Alessandro De Luca, V. A. Ziparo, F. Fedi, Matteo Molinari and Alessandro Saffiotti and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and Journal of Field Robotics.

In The Last Decade

Co-authorship network of co-authors of Daniele Calisi i

Fields of papers citing papers by Daniele Calisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Calisi

Since Specialization
Citations

This map shows the geographic impact of Daniele Calisi'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 Calisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Calisi 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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2025