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Mathematics
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Quantitative Studies of Science
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Quantitative Studies of Science

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 4372

Special Issue Editor

Prof. Dr. Pablo Dorta-González

E-Mail Website
Guest Editor
Department of Quantitative Methods in Economics and Management, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Canary Islands, Spain
Interests: bibliometrics; scientometrics; location; operations research

Special Issue Information

Dear Colelagues,

Quantitative Studies of Science (QSS) include all quantitative aspects of the science of science, science indicators, communication in science, and science policy. Emphasis is placed on investigations in which the characteristics of science and scientific research are studied by mathematical methods.

The Special Issue in QSS will publish original studies. Due to its fully interdisciplinary character, empirical studies are considered within the scope if they present novel contributions to the understanding of the science, technology, humanities, and social sciences, as objects of study.

Prof. Dr. Pablo Dorta-González
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

11 pages, 905 KiB  
Article
Minimal Impact One-Dimensional Arrays
by Leo Egghe and Ronald Rousseau
Mathematics 2020, 8(5), 811; https://doi.org/10.3390/math8050811 - 17 May 2020
Cited by 1 | Viewed by 1468
Abstract
In this contribution, we consider the problem of finding the minimal Euclidean distance between a given converging decreasing one-dimensional array X in (R+)∞ and arrays of the form [...] Read more.
In this contribution, we consider the problem of finding the minimal Euclidean distance between a given converging decreasing one-dimensional array X in (R+)∞ and arrays of the form A a = ( a , a , … , a ︸ ,   0 , 0 ,   … a   t i m e s ) , with a being a natural number. We find a complete, if not always unique, solution. Our contribution illustrates how a formalism derived in the context of research evaluation and informetrics can be used to solve a purely mathematical problem. Full article
(This article belongs to the Special Issue Quantitative Studies of Science)
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8 pages, 1248 KiB  
Article
Interdisciplinarity Metric Based on the Co-Citation Network
by Juan María Hernández and Pablo Dorta-González
Mathematics 2020, 8(4), 544; https://doi.org/10.3390/math8040544 - 07 Apr 2020
Cited by 6 | Viewed by 2283
Abstract
Quantifying the interdisciplinarity of a research is a relevant problem in the evaluative bibliometrics. The concept of interdisciplinarity is ambiguous and multidimensional. Thus, different measures of interdisciplinarity have been propose in the literature. However, few studies have proposed interdisciplinary metrics without previously defining [...] Read more.
Quantifying the interdisciplinarity of a research is a relevant problem in the evaluative bibliometrics. The concept of interdisciplinarity is ambiguous and multidimensional. Thus, different measures of interdisciplinarity have been propose in the literature. However, few studies have proposed interdisciplinary metrics without previously defining classification sets, and no one has used the co-citation network for this purpose. In this study we propose an interdisciplinary metric based on the co-citation network. This is a way to define the publication’s field without resorting to pre-defined classification sets. We present a characterization of a publication’s field and then we use this definition to propose a new metric of the interdisciplinarity degree for publications (papers) and journals as units of analysis. The proposed measure has an aggregative property that makes it scalable from a paper individually to a set of them (journal) without more than adding the numerators and denominators in the proportions that define this new indicator. Moreover, the aggregated value of two or more units is strictly among all the individual values. Full article
(This article belongs to the Special Issue Quantitative Studies of Science)
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