Diego Macrini

10 papers and 374 indexed citations i.

About

Diego Macrini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Diego Macrini has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Signal Processing. Recurrent topics in Diego Macrini’s work include Advanced Image and Video Retrieval Techniques (8 papers), Graph Theory and Algorithms (4 papers) and Image Processing and 3D Reconstruction (4 papers). Diego Macrini is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Graph Theory and Algorithms (4 papers) and Image Processing and 3D Reconstruction (4 papers). Diego Macrini collaborates with scholars based in Canada, United States and Türkiye. Diego Macrini's co-authors include Sven Dickinson, Kaleem Siddiqi, Ali Shokoufandeh, Sylvain Bouix, Juan Zhang, Steven W. Zucker, David J. Fleet, M. Fatih Demirci, Matthijs van Eede and Alexandru Telea and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Machine Vision and Applications.

In The Last Decade

Co-authorship network of co-authors of Diego Macrini i

Fields of papers citing papers by Diego Macrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Macrini

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025