Alejandro de la Vega

28 papers and 915 indexed citations i.

About

Alejandro de la Vega is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Alejandro de la Vega has authored 28 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Alejandro de la Vega’s work include Speech and dialogue systems (5 papers), Functional Brain Connectivity Studies (5 papers) and Topic Modeling (4 papers). Alejandro de la Vega is often cited by papers focused on Speech and dialogue systems (5 papers), Functional Brain Connectivity Studies (5 papers) and Topic Modeling (4 papers). Alejandro de la Vega collaborates with scholars based in United States, Canada and Spain. Alejandro de la Vega's co-authors include Marie T. Banich, Tal Yarkoni, Jessica R. Andrews‐Hanna, Matthew L. Dixon, Caitlin Mills, Michael W. Cole, Kalina Christoff, R. Nathan Spreng, Tor D. Wager and Luke J. Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Neurology.

In The Last Decade

Co-authorship network of co-authors of Alejandro de la Vega i

Fields of papers citing papers by Alejandro de la Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro de la Vega. 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 Alejandro de la Vega. The network helps show where Alejandro de la Vega may publish in the future.

Countries citing papers authored by Alejandro de la Vega

Since Specialization
Citations

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