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Analysis of institutional authors

Navarro Gonzalez, Jose ManuelAuthorAndion Jimenez, JavierAuthorDueñas López, Juan CarlosAuthorParada G, Hugo A.Author

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Root Cause Analysis of Network Failures Using Machine Learning and Summarization Techniques

Publicated to:Ieee Communications Magazine. 55 (9): 126-131 - 2017-09-01 55(9), DOI: 10.1109/MCOM.2017.1700066

Authors: González, JMN; Jiménez, JA; López, JCD; Parada, HA

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Abstract

Root cause analysis includes the methods to identify the sources of errors in a network. Most techniques rely on knowledge models of the system, which are usually built by using network operators' expertise. This presents problems related to knowledge extraction, scalability, and understandability. We propose an offline method based on machine learning techniques for the automatic identification of dependencies between system events, enhanced with summarization, operations on graphs, and visualization that help network operators identify the root causes of errors. We illustrate it with examples from a corporate network.

Keywords

Ciência da computaçãoCiências ambientaisCiências biológicas iComputer networks and communicationsComputer science applicationsElectrical and electronic engineeringEngenharias iEngenharias iiEngenharias ivEngineering, electrical & electronicInterdisciplinarTelecommunications

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ieee Communications Magazine due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2017, it was in position 4/260, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Electrical & Electronic. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 1.14, which 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 14, 2024)

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:

  • Field Citation Ratio (FCR) from Dimensions: 6.4 (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-30, the following number of citations:

  • WoS: 24
  • Scopus: 28
  • Google Scholar: 43
  • Open Alex: 36
  • OpenCitations: 25

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 2025-05-30:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 56.
  • 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: 56 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

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/87185/

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: 41
  • Downloads: 1

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 (NAVARRO GONZALEZ, JOSE MANUEL) and Last Author (PARADA GELVEZ, HUGO ALEXER).