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.
An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario
2019206 citationsRicardo S. Alonso, Inés Sittón-Candanedo 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 Sara Rodrı́guez
Since
Specialization
Citations
This map shows the geographic impact of Sara Rodrı́guez'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 Sara Rodrı́guez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Rodrı́guez more than expected).
This network shows the impact of papers produced by Sara Rodrı́guez. 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 Sara Rodrı́guez. The network helps show where Sara Rodrı́guez may publish in the future.
Co-authorship network of co-authors of Sara Rodrı́guez
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Rodrı́guez.
A scholar is included among the top collaborators of Sara Rodrı́guez 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 Sara Rodrı́guez. Sara Rodrı́guez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rodrı́guez, Sara, et al.. (2016). Primera cita de Phalacrocera replicata (Linnaeus, 1758) (Diptera, Cylindrotomidae) para la península ibérica. Boletín de la Asociación Española de Entomología/Boletín de la Asociación Española de Entomología/Suplementos del Boletín de la Asociación Española de Entomología. 40(3). 531–533.1 indexed citations
9.
Rodrı́guez, Sara, Carolina Zato, Juan M. Corchado, & Tiancheng Li. (2014). Fusion system based on multi-agent systems to merge data from WSN. International Conference on Information Fusion. 1–8.6 indexed citations
10.
Chamoso, Pablo, et al.. (2014). Modeling Oil-Spill Detection with multirotor systems based on multi-agent systems. International Conference on Information Fusion. 1–8.8 indexed citations
Zato, Carolina, Sara Rodrı́guez, Dante I. Tapia, Juan M. Corchado, & Javier Bajo. (2013). Virtual Organizations of agents for monitoring elderly and disabled people in geriatric residences. International Conference on Information Fusion. 327–333.6 indexed citations
14.
Rodrı́guez, Sara, Dante I. Tapia, Juan F. De Paz, et al.. (2012). SELF-ORGANIZING MULTI-AGENT SYSTEM FOR MANAGEMENT AND PLANNING SURVEILLANCE ROUTES. DSpace VŠB-TUO (VŠB-TUO). 31(5). 1081–1100.1 indexed citations
15.
Tapia, Dante I., Ricardo S. Alonso, Sara Rodrı́guez, et al.. (2011). Implementing a real-time locating system based on wireless sensor networks and artificial neural networks to mitigate the multipath effect. International Conference on Information Fusion. 1–8.6 indexed citations
Paz, Juan F. De, Sara Rodrı́guez, Javier Bajo, & Juan M. Corchado. (2009). Mathematical model for dynamic case-based planning. International Journal of Computer Mathematics. 86(10-11). 1719–1730.9 indexed citations
18.
Rodrı́guez, Sara, et al.. (2009). Ovamah: Multiagent-based adaptive virtual organizations. International Conference on Information Fusion. 990–997.8 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.