Daniele Cerra

69 papers and 743 indexed citations i.

About

Daniele Cerra is a scholar working on Media Technology, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Daniele Cerra has authored 69 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Media Technology, 19 papers in Artificial Intelligence and 18 papers in Aerospace Engineering. Recurrent topics in Daniele Cerra’s work include Remote-Sensing Image Classification (32 papers), Advanced Image Fusion Techniques (19 papers) and Remote Sensing in Agriculture (15 papers). Daniele Cerra is often cited by papers focused on Remote-Sensing Image Classification (32 papers), Advanced Image Fusion Techniques (19 papers) and Remote Sensing in Agriculture (15 papers). Daniele Cerra collaborates with scholars based in Germany, United States and France. Daniele Cerra's co-authors include Peter Reinartz, Rupert Müller, Mihai Datcu, E. Carmona, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux, Miguel Pato, Saurabh Prasad and Bo Du and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Daniele Cerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Cerra

Since Specialization
Citations

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