Daniel Mas Montserrat

22 papers and 251 indexed citations i.

About

Daniel Mas Montserrat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Genetics. According to data from OpenAlex, Daniel Mas Montserrat has authored 22 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Daniel Mas Montserrat’s work include Digital Media Forensic Detection (6 papers), Genetic Associations and Epidemiology (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Daniel Mas Montserrat is often cited by papers focused on Digital Media Forensic Detection (6 papers), Genetic Associations and Epidemiology (5 papers) and Adversarial Robustness in Machine Learning (4 papers). Daniel Mas Montserrat collaborates with scholars based in United States, Spain and Italy. Daniel Mas Montserrat's co-authors include Edward J. Delp, Jan P. Allebach, Qian Lin, Sriram Baireddy, Fengqing Zhu, David Güera, Alexander Ioannidis, Justin Yang, Carlos D. Bustamante and Xavier Giró-i-Nieto and has published in prestigious journals such as Bioinformatics, IEEE Access and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Daniel Mas Montserrat i

Fields of papers citing papers by Daniel Mas Montserrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mas Montserrat. 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 Daniel Mas Montserrat. The network helps show where Daniel Mas Montserrat may publish in the future.

Countries citing papers authored by Daniel Mas Montserrat

Since Specialization
Citations

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