Javier Bernal

11 papers and 215 indexed citations i.

About

Javier Bernal is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Javier Bernal has authored 11 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Javier Bernal’s work include 3D Surveying and Cultural Heritage (2 papers), Image Processing and 3D Reconstruction (2 papers) and Neutropenia and Cancer Infections (1 paper). Javier Bernal is often cited by papers focused on 3D Surveying and Cultural Heritage (2 papers), Image Processing and 3D Reconstruction (2 papers) and Neutropenia and Cancer Infections (1 paper). Javier Bernal collaborates with scholars based in United States, Spain and Poland. Javier Bernal's co-authors include Antonio María Casas Sáinz, Andrés Riaguas, María Asunción Soriano, Adolfo Maestro, Alden Dima, Michael Halter, Adele P. Peskin, Marcin Kociołek, James J. Filliben and Anne L. Plant and has published in prestigious journals such as Information Sciences, Computers & Geosciences and Applied Mathematics Letters.

In The Last Decade

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

Fields of papers citing papers by Javier Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier Bernal

Since Specialization
Citations

This map shows the geographic impact of Javier Bernal'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 Bernal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Bernal 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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2025