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Analysis of institutional authors

Mingo LAuthorGómez NAuthor

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June 17, 2019
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Membrane systems working with the P-Factor: Best strategy to solve complex problems

Publicated to: Advanced Science Letters. 19 (5): 1490-1494 - 2013-05-01 19(5), DOI: 10.1166/asl.2013.4453

Authors:

Arteta A; Mingo L; Gómez N
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Affiliations

Universidad Politécnica de Madrid - Author

Abstract

A membrane system is a massive parallel system, which is inspired by the living cells when processing information. As a part of unconventional computing, membrane systems are proven to be effective in solving complex problems. A new factor is introduced. This factor can decide whether a technique is worthwhile being used or not. The use of this factor provides the best chances for selecting the strategy for the rules application phase. Referring to the best is in reference to the one that reduces execution time within the membrane system. A pre-analysis of the membrane system determines the P-factor, which in return advises the optimal strategy to use. In particular, this paper compares the use of two strategies based on the P-factor and provides results upon the application of them. The paper conclude s that the P-factor is an effective indicator for choosing the right strategy to implement the rules application phase in membrane systems. © 2013 American Scientific Publishers All rights reserved. All rights reserved.
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Keywords

Evolution rules applicationMembrane computingNatural computingP-factorP-systems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Advanced Science Letters 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, 2013, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science (Miscellaneous).

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • Scopus: 3
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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: 1 (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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/28979/

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: 442
  • Downloads: 2
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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 (Arteta A) and Last Author (GOMEZ BLAS, NURIA).

the author responsible for correspondence tasks has been Arteta A.

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