bibtype J - Journal Article
ARLID 0531643
utime 20240103224328.6
mtime 20200818235959.9
SCOPUS 85082986390
WOS 000524497000016
DOI 10.1109/TFUZZ.2019.2914625
title (primary) (eng) Sugeno Integrals, Hα, and Hβ Indices: How to Compare Scientists From Different Academic Areas
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0253234
ISSN 1063-6706
title IEEE Transactions on Fuzzy Systems
volume_id 28
volume 4 (2020)
page_num 795-800
publisher
name Institute of Electrical and Electronics Engineers
keyword Bibliometric databases
keyword compensative h-index
keyword Sugeno integral
author (primary)
ARLID cav_un_auth*0361232
share 30
name1 Jin
name2 L.
country CN
author
ARLID cav_un_auth*0101163
share 40
name1 Mesiar
name2 Radko
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0307047
share 30
name1 Stupňanová
name2 A.
country SK
garant K
source
url http://library.utia.cas.cz/separaty/2020/E/mesiar-0531643.pdf
source
url https://ieeexplore.ieee.org/document/8704921
cas_special
abstract (eng) The usage of the standard h-index to compare scientists from different research fields is often misleading. To avoid this possible failure, based on the Sugeno integrals, three new modified indices Hα,Hβ, and Hβα are proposed, thus, allowing to compensate the lower number of citations or of papers characteristic for a considered field. Our approach has\na transparent geometric interpretation, and thus, it offers good candidates to replace the standard h-index H in considered databases, such as Web of Science (WOS), Scopus, or Google Scholar.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2021
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0310645
confidential S
article_num 8704921
mrcbC86 3+4 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic
mrcbC91 C
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-i 4.85229
mrcbT16-j 2.341
mrcbT16-s 2.886
mrcbT16-B 92.586
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2020
mrcbU14 85082986390 SCOPUS
mrcbU24 PUBMED
mrcbU34 000524497000016 WOS
mrcbU63 cav_un_epca*0253234 IEEE Transactions on Fuzzy Systems 1063-6706 1941-0034 Roč. 28 č. 4 2020 795 800 Institute of Electrical and Electronics Engineers