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 Survey on Human Activity Recognition using Wearable Sensors
20121.8k citationsMiguel A. Labrador 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 Miguel A. Labrador
Since
Specialization
Citations
This map shows the geographic impact of Miguel A. Labrador'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 Miguel A. Labrador with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Labrador more than expected).
Fields of papers citing papers by Miguel A. Labrador
This network shows the impact of papers produced by Miguel A. Labrador. 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 Miguel A. Labrador. The network helps show where Miguel A. Labrador may publish in the future.
Co-authorship network of co-authors of Miguel A. Labrador
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Labrador.
A scholar is included among the top collaborators of Miguel A. Labrador 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 Miguel A. Labrador. Miguel A. Labrador is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Peña, Néstor, et al.. (2012). Tasa de transmisión alcanzable en un enlace de una red Manet Ieee 802.11. Revista Facultad De Ingenieria-universidad De Antioquia. 126–136.1 indexed citations
4.
Labrador, Miguel A. & Alfredo J. Pérez. (2011). An architecture for global ubiquitous sensing.2 indexed citations
Labrador, Miguel A., et al.. (2010). Reducing the communication range or turning nodes off? An initial evaluation of topology control strategies for wireless sensor networks. 66–88.1 indexed citations
Barbeau, Sean, Miguel A. Labrador, Nevine Labib Georggi, Philip L Winters, & Rafael Pérez. (2009). TRAC-IT: Software Architecture Supporting Simultaneous Travel Behavior Data Collection and Real-Time Location-Based Services for GPS-Enabled Mobile Phones. Transportation Research Board 88th Annual MeetingTransportation Research Board.14 indexed citations
Barbeau, Sean, et al.. (2008). Real-Time Travel Path Prediction Using GPS-Enabled Mobile Phones.7 indexed citations
11.
Barbeau, Sean, et al.. (2008). Automating Mode Detection Using Neural Networks and Assisted GPS Data Collected Using GPS-Enabled Mobile Phones.28 indexed citations
12.
Barbeau, Sean, Nevine Labib Georggi, Philip L Winters, Miguel A. Labrador, & Rafael Pérez. (2008). Trac-It: A Smart User Interface for a Real-Time Location-Aware Multimodal Survey Tool.3 indexed citations
13.
Labrador, Miguel A., et al.. (2008). Probabilistic Estimation Algorithm for Cooperative Localization in Wireless Sensor Networks.. Ad Hoc & Sensor Wireless Networks. 5. 27–46.3 indexed citations
14.
Rodríguez, José Manuel Andreu, et al.. (2008). Nivel de reincidencia en agresores sexuales bajo tratamiento en programas de control de la agresión sexual. 8(1). 7–18.4 indexed citations
15.
Barbeau, Sean, et al.. (2007). A Comparison of Fix Times and Estimated Accuracies in Application Programming Interfaces (APIs) for GPS-Enabled Mobile Phones. 11th World Conference on Transport ResearchWorld Conference on Transport Research Society.2 indexed citations
16.
Zhao, Hang, et al.. (2007). A Scalable and Energy Efficient Sink Location Service for Large-scale Wireless Sensor Networks.. Ad Hoc & Sensor Wireless Networks. 4. 289–320.2 indexed citations
Krishnamurthy, Prashant, et al.. (2004). Discrete Rayleigh fading channel modeling: Research Articles. 4(4). 413–425.1 indexed citations
19.
Labrador, Miguel A., et al.. (2004). TFRC friendliness and the case of ECN. International Journal of Communication Systems. 17(8). 763–778.3 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.