Silvia Acid

9 papers and 213 indexed citations i.

About

Silvia Acid is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Silvia Acid has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Silvia Acid’s work include Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (4 papers) and Data Management and Algorithms (2 papers). Silvia Acid is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (4 papers) and Data Management and Algorithms (2 papers). Silvia Acid collaborates with scholars based in Spain. Silvia Acid's co-authors include Luis M. de Campos, Juan M. Fernández‐Luna, Javier G. Castellano and Juan F. Huete and has published in prestigious journals such as Machine Learning, International Journal of Human-Computer Studies and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Silvia Acid i

Fields of papers citing papers by Silvia Acid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Acid

Since Specialization
Citations

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