Mario Coutiño

43 papers and 323 indexed citations i.

About

Mario Coutiño is a scholar working on Artificial Intelligence, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario Coutiño has authored 43 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computational Mechanics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario Coutiño’s work include Advanced Graph Neural Networks (17 papers), Sparse and Compressive Sensing Techniques (11 papers) and Complex Network Analysis Techniques (10 papers). Mario Coutiño is often cited by papers focused on Advanced Graph Neural Networks (17 papers), Sparse and Compressive Sensing Techniques (11 papers) and Complex Network Analysis Techniques (10 papers). Mario Coutiño collaborates with scholars based in The Netherlands, United States and Japan. Mario Coutiño's co-authors include Geert Leus, Elvin Isufi, Sundeep Prabhakar Chepuri, Georgios B. Giannakis, Mohammad Mahdi Nayebi, Hamid Behroozi, Takanori Maehara, Rouhollah Amiri, Amin Karbasi and David Gesbert and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Mario Coutiño i

Fields of papers citing papers by Mario Coutiño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Coutiño

Since Specialization
Citations

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