Javier Peña

145 total papers · 1.1k total citations
54 papers, 559 citations indexed

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 54 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Numerical Analysis, 25 papers in Computational Theory and Mathematics and 14 papers in Artificial Intelligence. Recurrent topics in Javier Peña's work include Advanced Optimization Algorithms Research (25 papers), Optimization and Variational Analysis (11 papers) and Polynomial and algebraic computation (9 papers). Javier Peña is often cited by papers focused on Advanced Optimization Algorithms Research (25 papers), Optimization and Variational Analysis (11 papers) and Polynomial and algebraic computation (9 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, Qihang Lin, Reha Tütüncü, Gérard Cornuéjols, Xi Chen and Thomas Sandholm and has published in prestigious journals such as European Journal of Operational Research, Mathematics of Computation and Applied Soft Computing.

In The Last Decade

Javier Peña

51 papers receiving 514 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Javier Peña 247 235 157 139 99 54 559
Sebastian Pokutta 307 1.2× 104 0.4× 131 0.8× 50 0.4× 75 0.8× 83 687
Simone Sagratella 307 1.2× 198 0.8× 92 0.6× 131 0.9× 99 1.0× 35 639
Tao Pham Dinh 131 0.5× 197 0.8× 154 1.0× 83 0.6× 186 1.9× 35 554
Zhaoran Wang 107 0.4× 69 0.3× 194 1.2× 75 0.5× 203 2.1× 53 602
Giovanni Fasano 333 1.3× 249 1.1× 159 1.0× 44 0.3× 136 1.4× 61 680
A.J.J. Talman 186 0.8× 175 0.7× 37 0.2× 237 1.7× 62 0.6× 47 593
Min Sun 229 0.9× 333 1.4× 59 0.4× 21 0.2× 228 2.3× 75 646
Marianne Akian 208 0.8× 63 0.3× 29 0.2× 120 0.9× 31 0.3× 46 629
Steffen Dereich 63 0.3× 96 0.4× 69 0.4× 82 0.6× 48 0.5× 38 596
E.A. Galperin 230 0.9× 243 1.0× 63 0.4× 85 0.6× 39 0.4× 89 651

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).

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.

Co-authorship network of co-authors of Javier Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Peña. A scholar is included among the top collaborators of Javier Peña based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Peña. Javier Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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