Giacomo Dabisias

About

Giacomo Dabisias is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Giacomo Dabisias has authored 2 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Aerospace Engineering, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Environmental Engineering. Recurrent topics in Giacomo Dabisias’s work include Innovative Teaching and Learning Methods (1 paper), Experimental Learning in Engineering (1 paper) and Remote Sensing and LiDAR Applications (1 paper). Giacomo Dabisias is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Experimental Learning in Engineering (1 paper) and Remote Sensing and LiDAR Applications (1 paper). Giacomo Dabisias collaborates with scholars based in Italy, United Kingdom and Sweden. Giacomo Dabisias's co-authors include Emanuele Ruffaldi, Mutlu Cukurova, Daniel Spikol, Hugo Grimmett and Peter Ondrúška and has published in prestigious journals such as Journal of Computer Assisted Learning and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Giacomo Dabisias i

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Fields of papers citing papers by Giacomo Dabisias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giacomo Dabisias

Since Specialization

Citations

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