Pilar Merchán

30 papers and 183 indexed citations i.

About

Pilar Merchán is a scholar working on Computer Vision and Pattern Recognition, Geology and Human-Computer Interaction. According to data from OpenAlex, Pilar Merchán has authored 30 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Geology and 7 papers in Human-Computer Interaction. Recurrent topics in Pilar Merchán’s work include 3D Surveying and Cultural Heritage (14 papers), Advanced Vision and Imaging (7 papers) and Virtual Reality Applications and Impacts (6 papers). Pilar Merchán is often cited by papers focused on 3D Surveying and Cultural Heritage (14 papers), Advanced Vision and Imaging (7 papers) and Virtual Reality Applications and Impacts (6 papers). Pilar Merchán collaborates with scholars based in Spain and Slovakia. Pilar Merchán's co-authors include Antonio Adán, Emiliano Pérez, Ivo Petráš, Blas M. Vinagre, Ľ. Dorčák, Iván García, Vicente Domı́nguez, Andrés S. Vázquez, Rubén Heradio and Mario Corrales Serrano and has published in prestigious journals such as Renewable Energy, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Pilar Merchán i

Fields of papers citing papers by Pilar Merchán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pilar Merchán

Since Specialization
Citations

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