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Analysis of institutional authors

Carmen Aguilera-Morillo, MAuthor

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January 27, 2025
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Stepwise selection of functional covariates in forecasting peak levels of olive pollen

Publicated to: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 27 (2): 367-376 - 2013-02-01 27(2), DOI: 10.1007/s00477-012-0655-0

Authors:

Escabias, Manuel; Valderrama, Mariano J; Aguilera, Ana M; Elena Santofimia, M; Carmen Aguilera-Morillo, M
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Affiliations

Consejeria Educ Junta Andalucia, IES La Laguna, Granada 18640, Spain - Author
Univ Granada, Fac Ciencias, E-18071 Granada, Spain - Author
Univ Granada, Fac Farm, E-18071 Granada, Spain - Author
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Abstract

High levels of airborne olive pollen represent a problem for a large proportion of the population because of the many allergies it causes. Many attempts have been made to forecast the concentration of airborne olive pollen, using methods such as time series, linear regression, neural networks, a combination of fuzzy systems and neural networks, and functional models. This paper presents a functional logistic regression model used to study the relationship between olive pollen concentration and different climatic factors, and on this basis to predict the probability of high (and possibly extreme) levels of airborne pollen, selecting the best subset of functional climatic variables by means of a stepwise method based on the conditional likelihood ratio test.
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Keywords

Functional-logit-regressionLogistic-regressionMeteorological parametersModelOlea europaea l. airborne pollenSelection of functional predictor

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 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, 2013, it was in position 17/46, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Environmental.

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 2026-04-03:

  • Google Scholar: 13
  • WoS: 10
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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 2026-04-03:

  • 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: 18 (PlumX).
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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: Last Author (Aguilera Morillo, María del Carmen).

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Awards linked to the item

This research was supported by Projects MTM2010-20502 from Direccion General de Investigacion del MEC, Spain, and FQM-307 from Consejeria de Innovacion, Ciencia y Empresa de la Junta de Andalucia Spain. The authors are grateful to the Aerobiology Research Group at the University of Granada for providing data for our study. The authors also want to thank the referees their suggestions that have allowed to prepare this improved version of the paper.
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