oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2019 ( 12 )

2018 ( 201 )

2017 ( 193 )

2016 ( 241 )

Custom range...

Search Results: 1 - 10 of 10177 matches for " Author Index "
All listed articles are free for downloading (OA Articles)
Page 1 /10177
Display every page Item
Author Index to Volume 2
Iranian Journal of Microbiology
Iranian Journal of Microbiology , 2010,
Abstract:
AUTHOR INDEX Vol. 34 (2); 2010
Macedonian Veterinary Review
Macedonian Veterinary Review , 2010,
Abstract:
AUTHOR INDEX Vol. 34(1) ; 2010
Macedonian Veterinary Review
Macedonian Veterinary Review , 2010,
Abstract:
AUTHOR INDEX Vol. 34 (1-2) ; 2011
Macedonian Veterinary Review
Macedonian Veterinary Review , 2011,
Abstract:
AUTHOR INDEX Volume 35 (1-2); 2012
Macedonian Veterinary Review
Macedonian Veterinary Review , 2012,
Abstract:
Author Index, Vol. 2, No 3, 2009
Macedonian Journal of Medical Sciences
Macedonian Journal of Medical Sciences , 2009,
Abstract:
Author Index, Vol. 2, No 4, 2009
Macedonian Journal of Medical Sciences
Macedonian Journal of Medical Sciences , 2009,
Abstract:
Author Index, Vol. 2, No 2, 2009
Macedonian Journal of Medical Sciences
Macedonian Journal of Medical Sciences , 2009,
Abstract:
Author Index, Vol. 3, No 4, 2010
Macedonian Journal of Medical Sciences
Macedonian Journal of Medical Sciences , 2010,
Abstract:
Algoritmos para solventar la falta de normalización de nombres de autor en los estudios bibliométricos
Costas, Rodrigo;Bordons, María;
Investigación bibliotecológica , 2007,
Abstract: two algorithms to detect and solve normalization problems of author names in data originated in thomson's isi science citation index are presented. the first algorithm allows detection of different names which could belong to the same person. the second one, based on the degree of similarity between two variants of the same name on a document, helps to determine whether two similar names correspond or not to the same person. in order to determine the efficacy of the algorithms, a control of normalized author data from a previous study has been used. the first algorithm detects 67% of name variants existing in the population under study, and the second one was successful in 74% of the cases.
Page 1 /10177
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.