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.
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
2020313 citationsC. Jiménez-Mesa, Javier Ramı́rez et al.Information Fusionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Javier Ramı́rez
Since
Specialization
Citations
This map shows the geographic impact of Javier Ramı́rez'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 Ramı́rez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Ramı́rez more than expected).
This network shows the impact of papers produced by Javier Ramı́rez. 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 Ramı́rez. The network helps show where Javier Ramı́rez may publish in the future.
Co-authorship network of co-authors of Javier Ramı́rez
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ramı́rez.
A scholar is included among the top collaborators of Javier Ramı́rez 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 Ramı́rez. Javier Ramı́rez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Segovia, F., et al.. (2012). Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.. 2241–2250.3 indexed citations
Ramı́rez, Javier. (2011). Comparación de intervalos de confianza para la función de supervivencia con censura a derecha. SHILAP Revista de lepidopterología.1 indexed citations
Ramı́rez, Javier & Guillermo Martínez. (2010). Análisis de correspondencias a partir de una muestra probabilística. SHILAP Revista de lepidopterología. 33(2). 273–293.1 indexed citations
15.
Ramı́rez, Javier, et al.. (2009). Laboratorio Virtual de Física en e-learning. 2(3).4 indexed citations
16.
Ramı́rez, Javier, et al.. (2009). Evaluación de competencias en la asignatura Laboratorio Virtual de Física. 3(2).2 indexed citations
Ramı́rez, Javier, et al.. (2006). Laboratorio asistido por ordenador: oscilaciones regulares y caóticas en el péndulo de Pohl.. 20(4). 34–39.1 indexed citations
19.
Ramı́rez, Javier & Antonio García. (2002). U. Meyer-Baese, A. Lloris: Fast RNS FPL-based Communications Receiver Design and Implementation. 472–481.12 indexed citations
20.
Rosales, Pedro, et al.. (1998). Sensores de radiación utilizando diodos pin de silicio. 20. 281–286.1 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.