Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Análisis bibliométrico y de contenido. Dos metodologías complementarias para el análisis de la revista colombiana Educación y Cultura
Countries citing papers authored by Javier Onrubia
Since
Specialization
Citations
This map shows the geographic impact of Javier Onrubia'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 Onrubia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Onrubia more than expected).
This network shows the impact of papers produced by Javier Onrubia. 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 Onrubia. The network helps show where Javier Onrubia may publish in the future.
Co-authorship network of co-authors of Javier Onrubia
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Onrubia.
A scholar is included among the top collaborators of Javier Onrubia 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 Onrubia. Javier Onrubia is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Onrubia, Javier, Teresa Mauri Majós, Rosa Colomina Álvarez, & Marc Clarà. (2016). Una propuesta para la enseñanza de la reflexión conjunta en el prácticum de maestro. RECERCAT (Consorci de Serveis Universitaris de Catalunya).3 indexed citations
11.
Onrubia, Javier, et al.. (2008). Scripting computer-supported collaboration by university students. Digital Education Review. 33–53.5 indexed citations
12.
Onrubia, Javier, et al.. (2008). Una estrategia general de asesoramiento para la mejora de la práctica educativa. SHILAP Revista de lepidopterología.3 indexed citations
13.
Salvador, César Coll, Javier Onrubia, & Teresa Mauri Majós. (2008). Ayudar a aprender en contextos educativos: el ejercicio de la influencia educativa y el análisis de la enseñanza. Revista de educación. 33–70.53 indexed citations
14.
Onrubia, Javier. (2007). Las tecnologías de la información y la comunicación como instrumento de apoyo a la innovación de la docencia universitaria. SHILAP Revista de lepidopterología.10 indexed citations
Onrubia, Javier. (2003). Las aulas como comunidades de aprendizaje : una propuesta de enseñanza basada en la interacción, la cooperación y el trabajo en equipo. 37–46.
17.
Onrubia, Javier, et al.. (2000). Las pruebas escritas y la evaluación del aprendizaje matemático en la educación obligatoria. Revista Electrónica Interuniversitaria de Formación del Profesorado. 3(2). 1.3 indexed citations
18.
Barberà, Elena, Javier Onrubia, & César Coll Salvador. (2000). La atención a la diversidad en las prácticas de evaluación (Catering for student diversity in assessment practice). Journal for the Study of Education and Development Infancia y Aprendizaje. 111–132.1 indexed citations
19.
Majós, Teresa Mauri & Javier Onrubia. (1994). Decisiones sobre metodología didáctica. Cuadernos de pedagogía. 39–44.3 indexed citations
20.
Onrubia, Javier, et al.. (1992). La importancia de los objetivos en el currículum escolar. Aula de innovación educativa. 45–50.
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.