Yanira De Paz

About

Yanira De Paz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanira De Paz has authored 7 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yanira De Paz’s work include Multi-Agent Systems and Negotiation (6 papers), Logic, Reasoning, and Knowledge (4 papers) and AI-based Problem Solving and Planning (2 papers). Yanira De Paz is often cited by papers focused on Multi-Agent Systems and Negotiation (6 papers), Logic, Reasoning, and Knowledge (4 papers) and AI-based Problem Solving and Planning (2 papers). Yanira De Paz collaborates with scholars based in Spain and Norway. Yanira De Paz's co-authors include Javier Bajo, Juan M. Corchado, Dante I. Tapia, Juan F. De Paz, Sara Rodrı́guez, Carlos Carrascosa, Vicente Botti, Ajith Abraham and Vicente Julián and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Yanira De Paz i

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Fields of papers citing papers by Yanira De Paz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanira De Paz

Since Specialization

Citations

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