M. Paz Sesmero

About

M. Paz Sesmero is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, M. Paz Sesmero has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in M. Paz Sesmero’s work include Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (4 papers) and Face and Expression Recognition (2 papers). M. Paz Sesmero is often cited by papers focused on Machine Learning and Data Classification (6 papers), Imbalanced Data Classification Techniques (4 papers) and Face and Expression Recognition (2 papers). M. Paz Sesmero collaborates with scholars based in Spain, France and Germany. M. Paz Sesmero's co-authors include Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, Germán Gutiérrez, Goran Andonovski, Igor Škrjanc, Paula de Toledo, Paul Drews, Ángel García‐Olaya and David Camilo Corrales and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of M. Paz Sesmero i

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Fields of papers citing papers by M. Paz Sesmero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Paz Sesmero. 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 M. Paz Sesmero. The network helps show where M. Paz Sesmero may publish in the future.

Countries citing papers authored by M. Paz Sesmero

Since Specialization

Citations

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