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.
A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks
2020254 citationsHugo Landaluce, Laura Arjona et al.Sensorsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ignacio Angulo
Since
Specialization
Citations
This map shows the geographic impact of Ignacio Angulo'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 Ignacio Angulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Angulo more than expected).
This network shows the impact of papers produced by Ignacio Angulo. 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 Ignacio Angulo. The network helps show where Ignacio Angulo may publish in the future.
Co-authorship network of co-authors of Ignacio Angulo
This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Angulo.
A scholar is included among the top collaborators of Ignacio Angulo 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 Ignacio Angulo. Ignacio Angulo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Landaluce, Hugo, Laura Arjona, Asier Perallos, et al.. (2020). A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks. Sensors. 20(9). 2495–2495.254 indexed citations breakdown →
Dziabenko, Olga, Pablo Orduña, Javier García-Zubía, & Ignacio Angulo. (2012). Remote Laboratory in Education: WebLab-Deusto Practice. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2012(1). 1445–1454.5 indexed citations
10.
Landaluce, Hugo, Asier Perallos, Ignacio J. Garcia Zuazola, & Ignacio Angulo. (2012). Performance analysis of the Slot Counter algorithm in comparison with the real performance of a commercial RFID reader supporting the EPC Class 1 Generation 2 protocol. International Conference on Software, Telecommunications and Computer Networks. 1–5.2 indexed citations
11.
Landaluce, Hugo, Asier Perallos, & Ignacio Angulo. (2012). A simulation tool for RFID EPC Gen2 protocol. Iberian Conference on Information Systems and Technologies. 1–6.3 indexed citations
12.
Tawfik, Mohamed, Elio Sancristobal, Sergio Martín, et al.. (2012). VISIR: Experiences and Challenges. International Journal of Online and Biomedical Engineering (iJOE). 8(1). 25–25.29 indexed citations
García-Zubía, Javier, et al.. (2009). Students' Review of Acceptance, Usability and Usefulness of WebLab-Deusto. Journal of Digital Information Management. 7(3). 173–177.6 indexed citations
García-Zubía, Javier, Unai Hernández‐Jayo, Ignacio Angulo, & Pablo Orduña. (2008). Remote Laboratories based on LXI. International Journal of Online and Biomedical Engineering (iJOE). 4(3). 25–27.4 indexed citations
18.
Angulo, Ignacio, et al.. (2002). Microcontroladores avanzados dsPIC para proyectos vanguardistas. 70–74.1 indexed citations
19.
Angulo, Ignacio, et al.. (1997). Microcontroladores "PIC": diseño práctico de aplicaciones. Dialnet (Universidad de la Rioja).7 indexed citations
20.
Angulo, Ignacio, et al.. (1992). Power plant domain representation for operator intelligent training systems. 250–256.4 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.