Gabriella Olmo

118 papers and 1.7k indexed citations i.

About

Gabriella Olmo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Gabriella Olmo has authored 118 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 37 papers in Signal Processing and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Gabriella Olmo’s work include Advanced Data Compression Techniques (37 papers), Video Coding and Compression Technologies (19 papers) and Image and Signal Denoising Methods (18 papers). Gabriella Olmo is often cited by papers focused on Advanced Data Compression Techniques (37 papers), Video Coding and Compression Technologies (19 papers) and Image and Signal Denoising Methods (18 papers). Gabriella Olmo collaborates with scholars based in Italy, China and United States. Gabriella Olmo's co-authors include Enrico Magli, Marco Grangetto, Tammam Tillo, Barbara Penna, Luigi Borzì, Emanuele Quacchio, Sergio Benedetto, Pasquale Cataldi, Luis Sigcha and Alessandro Zampogna and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Gabriella Olmo i

Fields of papers citing papers by Gabriella Olmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriella Olmo

Since Specialization
Citations

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