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Analysis of institutional authors

Nunez, AngelCorresponding AuthorValero, EusebioAuthorLuque, BartoloAuthor

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June 9, 2019
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DETECTING SERIES PERIODICITY WITH HORIZONTAL VISIBILITY GRAPHS

Publicated to: INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS. 22 (7): 1250160- - 2012-07-01 22(7), DOI: 10.1142/S021812741250160X

Authors:

Nunez, Angel; Lacasa, Lucas; Valero, Eusebio; Patricio Gomez, Jose; Luque, Bartolo
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Affiliations

Univ Politecn Madrid, ETSI Aeronaut, Dept Matemat Aplicada & Estadist, E-28040 Madrid, Spain - Author

Abstract

The horizontal visibility algorithm was recently introduced as a mapping between time series and networks. The challenge lies in characterizing the structure of time series (and the processes that generated those series) using the powerful tools of graph theory. Recent works have shown that the visibility graphs inherit several degrees of correlations from their associated series, and therefore such graph theoretical characterization is in principle possible. However, both the mathematical grounding of this promising theory and its applications are in its infancy. Following this line, here we address the question of detecting hidden periodicity in series polluted with a certain amount of noise. We first put forward some generic properties of horizontal visibility graphs which allow us to define a (graph theoretical) noise reduction filter. Accordingly, we evaluate its performance for the task of calculating the period of noisy periodic signals, and compare our results with standard time domain (autocorrelation) methods. Finally, potentials, limitations and applications are discussed.
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Keywords

Complex networkComplex networksHorizontal visibility graphNoise filterPeriodicity detectionTime seriesTime-series

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.79. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.83 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-25, the following number of citations:

  • WoS: 37
  • Scopus: 48
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 52 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/16712/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 318
  • Downloads: 376
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (NÚÑEZ DOMINGO, ÁNGEL) and Last Author (LUQUE SERRANO, BARTOLOME).

the author responsible for correspondence tasks has been NÚÑEZ DOMINGO, ÁNGEL.

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Awards linked to the item

The authors acknowledge financial support by the MEC (Spain) through project FIS2009-13690 and Comunidad de Madrid through research program MODELICO (S2009/ESP-1691).
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