Pilar de la Torre

21 papers and 824 indexed citations i.

About

Pilar de la Torre is a scholar working on Computational Theory and Mathematics, Signal Processing and Molecular Biology. According to data from OpenAlex, Pilar de la Torre has authored 21 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Signal Processing and 5 papers in Molecular Biology. Recurrent topics in Pilar de la Torre’s work include Data Management and Algorithms (5 papers), Venomous Animal Envenomation and Studies (4 papers) and Algorithms and Data Compression (4 papers). Pilar de la Torre is often cited by papers focused on Data Management and Algorithms (5 papers), Venomous Animal Envenomation and Studies (4 papers) and Algorithms and Data Compression (4 papers). Pilar de la Torre collaborates with scholars based in United States, Spain and Brazil. Pilar de la Torre's co-authors include Azriel Rosenfeld, Líbia Sanz, Juan J. Calvete, José Marı́a Gutiérrez, Bruno Lomonte, Yamileth Angulo, Veridiana de Melo Rodrigues, Renata Santos Rodrigues, Johara Boldrini-França and Vitelbina Núñez and has published in prestigious journals such as Journal of Proteome Research, Metabolic Engineering and Future Generation Computer Systems.

In The Last Decade

Co-authorship network of co-authors of Pilar de la Torre i

Fields of papers citing papers by Pilar de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pilar de la Torre

Since Specialization
Citations

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