Mercè Teixidó

About

Mercè Teixidó is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Mercè Teixidó has authored 40 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Mercè Teixidó’s work include Gaze Tracking and Assistive Technology (5 papers), Smart Agriculture and AI (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Mercè Teixidó is often cited by papers focused on Gaze Tracking and Assistive Technology (5 papers), Smart Agriculture and AI (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Mercè Teixidó collaborates with scholars based in Spain, Italy and Australia. Mercè Teixidó's co-authors include Jordi Palacín, Marcel Tresánchez, Tomàs Pallejà, Davinia Font, Javier Moreno–Valenzuela, Dani Martínez, M. Nogués, Joan R. Rosell-Polo, Ricardo Sanz and Rosa Gil and has published in prestigious journals such as Energy and Buildings, Sensors and Agricultural and Forest Meteorology.

In The Last Decade

Co-authorship network of co-authors of Mercè Teixidó

This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Teixidó. A scholar is included among the top collaborators of Mercè Teixidó 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 Mercè Teixidó. Mercè Teixidó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Mercè Teixidó

38 papers receiving 533 citations

Fields of papers citing papers by Mercè Teixidó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercè Teixidó

Since Specialization

Citations

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