Mercedes Valdés-Vela

21 papers and 380 indexed citations i.

About

Mercedes Valdés-Vela is a scholar working on Signal Processing, Transportation and Artificial Intelligence. According to data from OpenAlex, Mercedes Valdés-Vela has authored 21 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Transportation and 5 papers in Artificial Intelligence. Recurrent topics in Mercedes Valdés-Vela’s work include Data Management and Algorithms (7 papers), Human Mobility and Location-Based Analysis (6 papers) and Irrigation Practices and Water Management (3 papers). Mercedes Valdés-Vela is often cited by papers focused on Data Management and Algorithms (7 papers), Human Mobility and Location-Based Analysis (6 papers) and Irrigation Practices and Water Management (3 papers). Mercedes Valdés-Vela collaborates with scholars based in Spain, United Kingdom and China. Mercedes Valdés-Vela's co-authors include Antonio Skármeta, Fernando Terroso-Saénz, R. Toledo-Moreo, Miguel A. Zamora, Aurora González-Vidal, M. Victoria Moreno, Victor Chang, Isabel Abrisqueta, M.C. Ruiz-Sánchez and Juan Vera and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Mercedes Valdés-Vela i

Fields of papers citing papers by Mercedes Valdés-Vela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercedes Valdés-Vela. 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 Mercedes Valdés-Vela. The network helps show where Mercedes Valdés-Vela may publish in the future.

Countries citing papers authored by Mercedes Valdés-Vela

Since Specialization
Citations

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