Dino Ienco

92 papers and 1.8k indexed citations i.

About

Dino Ienco is a scholar working on Ecology, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dino Ienco has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 26 papers in Artificial Intelligence and 23 papers in Media Technology. Recurrent topics in Dino Ienco’s work include Remote Sensing in Agriculture (46 papers), Remote-Sensing Image Classification (22 papers) and Remote Sensing and LiDAR Applications (14 papers). Dino Ienco is often cited by papers focused on Remote Sensing in Agriculture (46 papers), Remote-Sensing Image Classification (22 papers) and Remote Sensing and LiDAR Applications (14 papers). Dino Ienco collaborates with scholars based in France, Italy and Germany. Dino Ienco's co-authors include Raffaele Gaetano, Roberto Interdonato, Ruggero G. Pensa, Dinh Ho Tong Minh, Kenji Osé, Pierre Maurel, Rosa Meo, Gloria Bordogna, Pascal Poncelet and Maguelonne Teisseire and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Dino Ienco i

Fields of papers citing papers by Dino Ienco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dino Ienco

Since Specialization
Citations

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