Javier Peña

57 papers and 612 indexed citations i.

About

Javier Peña is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Javier Peña has authored 57 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Numerical Analysis, 27 papers in Computational Theory and Mathematics and 18 papers in Artificial Intelligence. Recurrent topics in Javier Peña’s work include Advanced Optimization Algorithms Research (31 papers), Sparse and Compressive Sensing Techniques (14 papers) and Optimization and Variational Analysis (11 papers). Javier Peña is often cited by papers focused on Advanced Optimization Algorithms Research (31 papers), Sparse and Compressive Sensing Techniques (14 papers) and Optimization and Variational Analysis (11 papers). Javier Peña collaborates with scholars based in United States, Canada and Australia. Javier Peña's co-authors include Luis F. Zuluaga, Juan C. Vera, Andrew R. Gilpin, Tüomas Sandholm, Felipe Cucker, Samid Hoda, Qihang Lin, Gérard Cornuéjols, Reha Tütüncü and Xi Chen and has published in prestigious journals such as European Journal of Operational Research, Mathematics of Computation and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Javier Peña i

Fields of papers citing papers by Javier Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier Peña

Since Specialization
Citations

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