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.
Do we need hundreds of classifiers to solve real world classification problems
20141.7k citationsManuel Fernández-Delgado, Eva Cernadas et al.profile →
AI literacy in K-12: a systematic literature review
2023249 citationsLorena Casal Otero, Alejandro Catalá et al.International Journal of STEM Educationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Senén Barro'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 Senén Barro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senén Barro more than expected).
This network shows the impact of papers produced by Senén Barro. 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 Senén Barro. The network helps show where Senén Barro may publish in the future.
Co-authorship network of co-authors of Senén Barro
This figure shows the co-authorship network connecting the top 25 collaborators of Senén Barro.
A scholar is included among the top collaborators of Senén Barro 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 Senén Barro. Senén Barro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Otero, Lorena Casal, Alejandro Catalá, Carmen Fernández-Morante, et al.. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education. 10(1).249 indexed citations breakdown →
Ramos-Soto, Alejandro, et al.. (2013). Automatic linguistic descriptions of meteorological data a soft computing approach for converting open data to open information. Iberian Conference on Information Systems and Technologies. 1–6.8 indexed citations
7.
Lama, Manuel, et al.. (2012). Semantic Linking of Learning Object Repositories to DBpedia.. Educational Technology & Society. 15(4). 47–61.20 indexed citations
8.
Otero, Abraham, et al.. (2006). Fuzzy constraint satisfaction approach for landmark recognition in mobile robotics. AI Communications. 19(3). 275–289.3 indexed citations
9.
Otero, Abraham, et al.. (2006). A hierarchical pattern matching procedure for signal abstraction. Lecture notes in computer science. 31–41.2 indexed citations
10.
Barro, Senén. (2005). Informe sobre las TIC en el Sistema Universitario Español: las tecnologías de la información y las comunicaciones en el Sistema Universitario Español. 2–2.2 indexed citations
11.
Vila, Xosé A., et al.. (2004). Beyond keyboard and mouse: a remote interface for a classroom management system. EdMedia: World Conference on Educational Media and Technology. 2004(1). 4482–4487.1 indexed citations
Bugarín, Alberto, et al.. (2001). A general framework for probabilistic approaches to fuzzy quantification.. European Society for Fuzzy Logic and Technology Conference. 34–37.1 indexed citations
14.
Barro, Senén, et al.. (2001). A PAD-Based Classroom Computer System. EdMedia: World Conference on Educational Media and Technology. 2001(1). 1547–1548.1 indexed citations
15.
Iglesias, Roberto, Manuel Fernández-Delgado, & Senén Barro. (2000). Learning of perceptual states in the design of an adaptive wall-following behavior.. The European Symposium on Artificial Neural Networks. 103–108.2 indexed citations
16.
Bugarín, Alberto, et al.. (1999). A language for expressing expert knowledge using fuzzy temporal rules.. European Society for Fuzzy Logic and Technology Conference. 171–174.6 indexed citations
17.
Mucientes, Manuel, et al.. (1999). Use of fuzzy temporal rules for avoidance of moving obstacles in mobile robotics.. European Society for Fuzzy Logic and Technology Conference. 167–170.2 indexed citations
18.
Bugarín, Alberto, Senén Barro, & R. Ruı́z. (1994). Fuzzy Control Architectures. Journal of Intelligent & Fuzzy Systems. 2(2). 125–146.1 indexed citations
Cabello, D., et al.. (1989). Técnicas estadísticas para diagnóstico de arritmias ventriculares. 22(4). 45–52.1 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.