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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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

Article name in the collection

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

—

Number of pages

11

Pages from-to

1832-1842

Publisher name

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

Place of publication

USA

Event location

Milan

Event date

Apr 25, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000444067200182