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.
Validity and Reliability of the Spanish Modified Version of the Trait Meta-Mood Scale
2004860 citationsPablo Fernández‐Berrocal, Natalio Extremera et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Natalia Ramos Díaz
Since
Specialization
Citations
This map shows the geographic impact of Natalia Ramos Díaz'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 Natalia Ramos Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Ramos Díaz more than expected).
Fields of papers citing papers by Natalia Ramos Díaz
This network shows the impact of papers produced by Natalia Ramos Díaz. 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 Natalia Ramos Díaz. The network helps show where Natalia Ramos Díaz may publish in the future.
Co-authorship network of co-authors of Natalia Ramos Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Ramos Díaz.
A scholar is included among the top collaborators of Natalia Ramos Díaz 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 Natalia Ramos Díaz. Natalia Ramos Díaz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Díaz, Natalia Ramos, et al.. (2017). Impact of the Mindful Emotional Intelligence Program on Emotional Regulation in College Students. Revista internacional de psicología y terapia psicológica. 17(1). 39–48.9 indexed citations
Díaz, Natalia Ramos, et al.. (2016). Desarrollo de la Inteligencia Emocional a través del programa mindfulness para regular emociones (PINEP) en el profesorado. SHILAP Revista de lepidopterología.9 indexed citations
9.
Díaz, Natalia Ramos, et al.. (2014). Valoración de parámetros inmunitarios en pacientes con síntomas de ansiedad y depresión tras un programa de meditación "Mindfulness": un estudio piloto. Ansiedad y Estrés. 20(1). 1–10.2 indexed citations
Díaz, Natalia Ramos, et al.. (2010). Inteligencia emocional y mindfulness; hacia un concepto integrado de la inteligencia emocional. 24(24). 134–146.3 indexed citations
Díaz, Natalia Ramos, et al.. (2009). Efecto de un programa integrado de mindfulness e inteligencia emocional sobre las estrategias cognitivas de regulación emocional. Ansiedad y Estrés. 15(2). 207–216.11 indexed citations
15.
Fernández‐Berrocal, Pablo, et al.. (2005). Cultural influences on the relation between perceived emotional intelligence and depression. International Review of Social Psychology. 18. 91–107.87 indexed citations
16.
Fernández‐Berrocal, Pablo & Natalia Ramos Díaz. (2005). Evaluando la inteligencia emocional. Dialnet (Universidad de la Rioja). 35–38.10 indexed citations
Fernández‐Berrocal, Pablo, et al.. (2001). Cultura, inteligencia emocional percibida y ajuste emocional: un estudio preliminar. 4(8). 3.34 indexed citations
20.
Fernández‐Berrocal, Pablo & Natalia Ramos Díaz. (1999). Investigaciones empíricas en el ámbito de la inteligencia emocional. Ansiedad y Estrés. 5(2). 247–260.17 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.