Araceli Sanchis

113 papers and 1.8k indexed citations i.

About

Araceli Sanchis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Araceli Sanchis has authored 113 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Signal Processing. Recurrent topics in Araceli Sanchis’s work include Evolutionary Algorithms and Applications (21 papers), Time Series Analysis and Forecasting (16 papers) and Neural Networks and Applications (16 papers). Araceli Sanchis is often cited by papers focused on Evolutionary Algorithms and Applications (21 papers), Time Series Analysis and Forecasting (16 papers) and Neural Networks and Applications (16 papers). Araceli Sanchis collaborates with scholars based in Spain, United Kingdom and Slovenia. Araceli Sanchis's co-authors include Agapito Ledezma, José Antonio Iglesias, Paula de Toledo, Germán Gutiérrez, M. Paz Sesmero, Plamen Angelov, Igor Škrjanc, Edwin Lughofer, Daniel Leite and Fernando Gomide and has published in prestigious journals such as Macromolecules, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Araceli Sanchis i

Fields of papers citing papers by Araceli Sanchis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Araceli Sanchis

Since Specialization
Citations

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