High-ranked citations percentage as an indicator of publications quality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10242170" target="_blank" >RIV/61989100:27360/19:10242170 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11192-019-03128-6" target="_blank" >https://link.springer.com/article/10.1007/s11192-019-03128-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11192-019-03128-6" target="_blank" >10.1007/s11192-019-03128-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

High-ranked citations percentage as an indicator of publications quality

Popis výsledku v původním jazyce

A publications quality indicator called high-ranked citations percentage (HCP) is based on an idea that good papers are well cited. HCP was computed as a portion of cumulative citations concerning well cited papers from the total number of citations of an individual. The h-index was used to separate the well cited papers from the others. A testing dataset was composed of researchers who worked in various fields and at various institutions. Their research outputs were characterized by the h-index (h), the number of papers (P), the number of citations (C) and self-citations taken from the Web of Science (WoS). Unlike the h-index, HCP as a relative indicator does not underestimate researchers with shorter or interrupted research careers and does not depend on research fields. The scatter plot of HCP and the h index was employed for ranking of individuals into 4 groups according to its quadrants. The best performing authors had HCP above 70% and h above 15.

Název v anglickém jazyce

High-ranked citations percentage as an indicator of publications quality

Popis výsledku anglicky

A publications quality indicator called high-ranked citations percentage (HCP) is based on an idea that good papers are well cited. HCP was computed as a portion of cumulative citations concerning well cited papers from the total number of citations of an individual. The h-index was used to separate the well cited papers from the others. A testing dataset was composed of researchers who worked in various fields and at various institutions. Their research outputs were characterized by the h-index (h), the number of papers (P), the number of citations (C) and self-citations taken from the Web of Science (WoS). Unlike the h-index, HCP as a relative indicator does not underestimate researchers with shorter or interrupted research careers and does not depend on research fields. The scatter plot of HCP and the h index was employed for ranking of individuals into 4 groups according to its quadrants. The best performing authors had HCP above 70% and h above 15.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Scientometrics

ISSN

0138-9130

e-ISSN

—

Svazek periodika

120

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

319-329

Kód UT WoS článku

000471656400016

EID výsledku v databázi Scopus

2-s2.0-85067051537