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.
Countries citing papers authored by Ramón Fabregat
Since
Specialization
Citations
This map shows the geographic impact of Ramón Fabregat'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 Ramón Fabregat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramón Fabregat more than expected).
This network shows the impact of papers produced by Ramón Fabregat. 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 Ramón Fabregat. The network helps show where Ramón Fabregat may publish in the future.
Co-authorship network of co-authors of Ramón Fabregat
This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Fabregat.
A scholar is included among the top collaborators of Ramón Fabregat 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 Ramón Fabregat. Ramón Fabregat is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Marzo, José L., et al.. (2012). UN SISTEMA DE TUTORÍA INTELIGENTE ADAPTATIVO CONSIDERANDO ESTILOS DE APRENDIZAJE. SHILAP Revista de lepidopterología. 1(2). 17–29.8 indexed citations
11.
Mejía, Carolina, et al.. (2009). Personalization of E-Learning Platforms based on an adaptation process supported on IMS-LIP and IMS-LD. Society for Information Technology & Teacher Education International Conference. 2009(1). 2882–2887.3 indexed citations
12.
Mejía, Carolina, et al.. (2009). CONTEXT-AWARE ADAPTATION PROCESS TO BUILD UNITS OF LEARNING BASED ON IMS-LD STANDARD. 5743–5754.6 indexed citations
13.
Baldiris, Silvia, et al.. (2008). Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan. 5. 88–107.35 indexed citations
14.
Baldiris, Silvia, et al.. (2008). Generación de cursos virtuales adaptativos basados en SCORM e IMS-LD. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5(3). 49–59.3 indexed citations
15.
Fabregat, Ramón, et al.. (2008). User Integral Model in Adaptive Virtual Learning Environment. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 3275–3284.5 indexed citations
16.
Barán, Benjamı́n, et al.. (2005). Multi-Objective Multicast Routing based on Ant Colony Optimization. Universitat de Girona Digital Repository (Universitat de Girona). 363–370.7 indexed citations
17.
Fabregat, Ramón, et al.. (2003). DEFINICIÓN DE UN MODELO PARA LA CARACTERIZACIÓN DE PLATAFORMAS DE TELEEDUCACIÓN Y SU APLICACIÓN A LAS USD. Universidad Industrial de Santander. 2(3). 60–71.1 indexed citations
18.
Fabregat, Ramón, et al.. (2002). Integración del aprendizaje individual y del colaborativo en un sistema hipermedia adaptativo. Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 64.1 indexed citations
19.
Rosa, Josep Lluís de la, et al.. (2002). Un sistema de tutoría inteligente adaptativo considerando estilos de aprendizaje. 11.20 indexed citations
20.
Fabregat, Ramón, et al.. (2000). WWW-based Tools to Manage Teaching Units in the PLAN-G Distance Learning Platform. EdMedia: World Conference on Educational Media and Technology. 2000(1). 1286–1287.5 indexed citations
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.