Analyzing Research Impact via Functional Data Analysis: A Powerful Tool for Scholars, Insiders, and Research Organizations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00535373" target="_blank" >RIV/60162694:G43__/18:00535373 - isvavai.cz</a>

Výsledek na webu

<a href="https://ibima.org/conference/31st-ibima-conference/" target="_blank" >https://ibima.org/conference/31st-ibima-conference/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/1.5078474" target="_blank" >10.1063/1.5078474</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing Research Impact via Functional Data Analysis: A Powerful Tool for Scholars, Insiders, and Research Organizations

Popis výsledku v původním jazyce

In recent decades, also due to the development of the Internet and software systems, there has been a substantial increase in electronic publications and the possibility of collecting numerous data to compile statistics on researchers and scientific journals. This has led scientific research to become a real business for many actors involved. In fact, the economic interests on research concern not only researchers but especially publishers, who pursue profit, and scientific organizations dealing with recruiting the best researchers in the worldwide “market”. For this reason, in the last decades, there has been a considerable increase of studies looking for the best methods and indicators for analyzing the impact of researchers and scientific journals in the various scientific communities. Most of the indicators proposed in the literature for assessing researchers' impact are very simple synthetic indexes, such as the number of citations, h-index and number of publications. Instead, for journals, the most used indexes are impact factors, SCImago Journal Rank, and h-index. In this research, we propose the use of functional analysis to obtain new advanced statistical indicators starting from the classical bibliometric indexes. Specifically, we will show through an application to real data how to use functional data analysis to add interesting new indicators through the analysis of classical bibliometric indexes.

Název v anglickém jazyce

Analyzing Research Impact via Functional Data Analysis: A Powerful Tool for Scholars, Insiders, and Research Organizations

Popis výsledku anglicky

In recent decades, also due to the development of the Internet and software systems, there has been a substantial increase in electronic publications and the possibility of collecting numerous data to compile statistics on researchers and scientific journals. This has led scientific research to become a real business for many actors involved. In fact, the economic interests on research concern not only researchers but especially publishers, who pursue profit, and scientific organizations dealing with recruiting the best researchers in the worldwide “market”. For this reason, in the last decades, there has been a considerable increase of studies looking for the best methods and indicators for analyzing the impact of researchers and scientific journals in the various scientific communities. Most of the indicators proposed in the literature for assessing researchers' impact are very simple synthetic indexes, such as the number of citations, h-index and number of publications. Instead, for journals, the most used indexes are impact factors, SCImago Journal Rank, and h-index. In this research, we propose the use of functional analysis to obtain new advanced statistical indicators starting from the classical bibliometric indexes. Specifically, we will show through an application to real data how to use functional data analysis to add interesting new indicators through the analysis of classical bibliometric indexes.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 31st International Business Information Management Association Conference Innovation Management and Education Excellence through Vision 2020

ISBN

978-0-9998551-0-2

ISSN

0094-243X

e-ISSN

—

Počet stran výsledku

11

Strana od-do

1832-1842

Název nakladatele

INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA, 34 E GERMANTOWN PIKE, NO. 327, NORRISTOWN, PA 19401 USA

Místo vydání

USA

Místo konání akce

Milan

Datum konání akce

25. 4. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000444067200182