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Analysis of institutional authors

Zazo, JavierAuthorZazo JAuthorZazo SAuthor

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Meeting Abstract

How to implement doubly-stochastic matrices for consensus-based distributed algorithms

Publicated to:Proceedings Of The Ieee Sensor Array And Multichannel Signal Processing Workshop. 333-336 - 2014-01-01 (), DOI: 10.1109/SAM.2014.6882409

Authors: Macua S; Leon C; Romero J; Pereira S; Zazo J; Pages-Zamora A; Lopez-Valcarce R; Zazo S

Affiliations

Universidad Politécnica de Madrid - Author
Universidade de Vigo - Author
Universitat Politècnica de Catalunya - Author

Abstract

Doubly-stochastic matrices are usually required by consensus-based distributed algorithms. We propose a simple and efficient protocol and present some guidelines for implementing doubly-stochastic combination matrices even in noisy, asynchronous and changing topology scenarios. The proposed ideas are validated with the deployment of a wireless sensor network, in which nodes run a distributed algorithm for robust estimation in the presence of nodes with faulty sensors. © 2014 IEEE.

Keywords

ConsensusContiki osDistributed algorithmsEstimationNetwork topologyProtocolsRobust estimationRobustnessSensor networksSignal processing algorithmsTopologyWireless sensor network

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Proceedings Of The Ieee Sensor Array And Multichannel Signal Processing Workshop 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, 2014, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Signal Processing.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.55, 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: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-28, the following number of citations:

  • WoS: 9
  • Scopus: 13
  • OpenCitations: 7

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 2025-05-28:

  • 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: 14 (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.

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 (Macua S) and Last Author (ZAZO BELLO, SANTIAGO).