Alejandro Molina

19 papers and 252 indexed citations i.

About

Alejandro Molina is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Alejandro Molina has authored 19 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Alejandro Molina’s work include Bayesian Modeling and Causal Inference (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Bayesian Methods and Mixture Models (2 papers). Alejandro Molina is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Bayesian Methods and Mixture Models (2 papers). Alejandro Molina collaborates with scholars based in Germany, United Kingdom and United States. Alejandro Molina's co-authors include Kristian Kersting, Benjamin Hilprecht, Andreas Schmidt, Carsten Binnig, Sriraam Natarajan, Antonio Vergari, Floriana Esposito, Nicola Di Mauro, Jethro Akroyd and Markus Kraft and has published in prestigious journals such as The Astronomical Journal, Machine Learning and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Alejandro Molina i

Fields of papers citing papers by Alejandro Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alejandro Molina

Since Specialization
Citations

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