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.
Moving towards a more electric aircraft
2007658 citationsJavier Rosero García, J. A. Ortega et al.profile →
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks
2012383 citationsMiguel Delgado-Prieto, A. García et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of J. A. Ortega'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 J. A. Ortega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Ortega more than expected).
This network shows the impact of papers produced by J. A. Ortega. 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 J. A. Ortega. The network helps show where J. A. Ortega may publish in the future.
Co-authorship network of co-authors of J. A. Ortega
This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Ortega.
A scholar is included among the top collaborators of J. A. Ortega 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 J. A. Ortega. J. A. Ortega is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Delgado-Prieto, Miguel, A. García, J. Urresty, Jordi‐Roger Riba, & J. A. Ortega. (2011). Evaluation of machine learning techniques for electro-mechanical system diagnosis. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–10.2 indexed citations
6.
García, A., et al.. (2010). Dynamic evaluation of fringing flux in linear electromechanical devices. Journal of Electrical Engineering-elektrotechnicky Casopis. 10.1 indexed citations
7.
Delgado-Prieto, Miguel, et al.. (2010). Loudspeaker Rub Fault Detection by Means of a New Nonstationary Procedure Test. Journal of the Audio Engineering Society.1 indexed citations
8.
Delgado-Prieto, Miguel, A. García, J. A. Ortega, J. Urresty, & Jordi‐Roger Riba. (2009). Bearing diagnosis methodologies by means of Common Mode Current. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–10.8 indexed citations
9.
Urresty, J., Jordi‐Roger Riba, J. A. Ortega, & J. J. Cárdenas. (2009). Stator short circuits detection in PMSM by means of Zhao-Atlas-Marks distribution and energy calculation. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–9.2 indexed citations
Auer, Michael, et al.. (2006). 80C537 Microcontroller Remote Lab for E-Learning Teaching. 2(4).17 indexed citations
15.
Ortega, J. A., et al.. (2005). La rugosidad como parámetro para la caracterización de la etapa de mordentado en el proceso de metalizado de plástico. Afinidad. 62(519). 487–491.1 indexed citations
16.
Ortega, Rodrigo, et al.. (2003). Technical-economical feasibility of site-specific nitrogen management in traditional crops in Chile.. 1842–1857.3 indexed citations
Ortega, J. A., et al.. (1995). Espectrometría infrarroja con array de fotodetectores. 20–23.1 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.