Standard
H-index manipulation by undoing merges. / Van Bevern, René; Komusiewicz, Christian; Molter, Hendrik и др.
Frontiers in Artificial Intelligence and Applications. ред. / Gal A. Kaminka; Frank Dignum; Eyke Hullermeier; Paolo Bouquet; Virginia Dignum; Maria Fox; Frank van Harmelen. IOS Press, 2016. стр. 895-903 (Frontiers in Artificial Intelligence and Applications; Том 285).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Van Bevern, R, Komusiewicz, C, Molter, H, Niedermeier, R, Sorge, M & Walsh, T 2016,
H-index manipulation by undoing merges. в GA Kaminka, F Dignum, E Hullermeier, P Bouquet, V Dignum, M Fox & F van Harmelen (ред.),
Frontiers in Artificial Intelligence and Applications. Frontiers in Artificial Intelligence and Applications, Том. 285, IOS Press, стр. 895-903, 22nd European Conference on Artificial Intelligence, ECAI 2016, The Hague, Нидерланды,
29.08.2016.
https://doi.org/10.3233/978-1-61499-672-9-895
APA
Van Bevern, R., Komusiewicz, C., Molter, H., Niedermeier, R., Sorge, M., & Walsh, T. (2016).
H-index manipulation by undoing merges. в G. A. Kaminka, F. Dignum, E. Hullermeier, P. Bouquet, V. Dignum, M. Fox, & F. van Harmelen (Ред.),
Frontiers in Artificial Intelligence and Applications (стр. 895-903). (Frontiers in Artificial Intelligence and Applications; Том 285). IOS Press.
https://doi.org/10.3233/978-1-61499-672-9-895
Vancouver
Van Bevern R, Komusiewicz C, Molter H, Niedermeier R, Sorge M, Walsh T.
H-index manipulation by undoing merges. в Kaminka GA, Dignum F, Hullermeier E, Bouquet P, Dignum V, Fox M, van Harmelen F, Редакторы, Frontiers in Artificial Intelligence and Applications. IOS Press. 2016. стр. 895-903. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-672-9-895
Author
Van Bevern, René ; Komusiewicz, Christian ; Molter, Hendrik и др. /
H-index manipulation by undoing merges. Frontiers in Artificial Intelligence and Applications. Редактор / Gal A. Kaminka ; Frank Dignum ; Eyke Hullermeier ; Paolo Bouquet ; Virginia Dignum ; Maria Fox ; Frank van Harmelen. IOS Press, 2016. стр. 895-903 (Frontiers in Artificial Intelligence and Applications).
BibTeX
@inproceedings{185625527d51490983d396f5874052b8,
title = "H-index manipulation by undoing merges",
abstract = "The h-index is an important bibliographic measure used to assess the performance of researchers. Van Bevern et al. [Artif. Intel., to appear] showed that, despite computational worst-case hardness results, substantial manipulation of the h-index of Google Scholar author profiles is possible by merging articles. Complementing this work, we study the opposite operation, the splitting of articles, which is arguably the more natural operation for manipulation and which is also allowed within Google Scholar. We present numerous results on computational complexity (from linear-time algorithms to parameterized computational hardness results) and empirically indicate that at least small improvements of the h-index by splitting merged articles are easily achievable.",
author = "{Van Bevern}, Ren{\'e} and Christian Komusiewicz and Hendrik Molter and Rolf Niedermeier and Manuel Sorge and Toby Walsh",
year = "2016",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-672-9-895",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "895--903",
editor = "Kaminka, {Gal A.} and Frank Dignum and Eyke Hullermeier and Paolo Bouquet and Virginia Dignum and Maria Fox and {van Harmelen}, Frank",
booktitle = "Frontiers in Artificial Intelligence and Applications",
address = "Netherlands",
note = "22nd European Conference on Artificial Intelligence, ECAI 2016 ; Conference date: 29-08-2016 Through 02-09-2016",
}
RIS
TY - GEN
T1 - H-index manipulation by undoing merges
AU - Van Bevern, René
AU - Komusiewicz, Christian
AU - Molter, Hendrik
AU - Niedermeier, Rolf
AU - Sorge, Manuel
AU - Walsh, Toby
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The h-index is an important bibliographic measure used to assess the performance of researchers. Van Bevern et al. [Artif. Intel., to appear] showed that, despite computational worst-case hardness results, substantial manipulation of the h-index of Google Scholar author profiles is possible by merging articles. Complementing this work, we study the opposite operation, the splitting of articles, which is arguably the more natural operation for manipulation and which is also allowed within Google Scholar. We present numerous results on computational complexity (from linear-time algorithms to parameterized computational hardness results) and empirically indicate that at least small improvements of the h-index by splitting merged articles are easily achievable.
AB - The h-index is an important bibliographic measure used to assess the performance of researchers. Van Bevern et al. [Artif. Intel., to appear] showed that, despite computational worst-case hardness results, substantial manipulation of the h-index of Google Scholar author profiles is possible by merging articles. Complementing this work, we study the opposite operation, the splitting of articles, which is arguably the more natural operation for manipulation and which is also allowed within Google Scholar. We present numerous results on computational complexity (from linear-time algorithms to parameterized computational hardness results) and empirically indicate that at least small improvements of the h-index by splitting merged articles are easily achievable.
UR - http://www.scopus.com/inward/record.url?scp=85013073044&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-672-9-895
DO - 10.3233/978-1-61499-672-9-895
M3 - Conference contribution
AN - SCOPUS:85013073044
T3 - Frontiers in Artificial Intelligence and Applications
SP - 895
EP - 903
BT - Frontiers in Artificial Intelligence and Applications
A2 - Kaminka, Gal A.
A2 - Dignum, Frank
A2 - Hullermeier, Eyke
A2 - Bouquet, Paolo
A2 - Dignum, Virginia
A2 - Fox, Maria
A2 - van Harmelen, Frank
PB - IOS Press
T2 - 22nd European Conference on Artificial Intelligence, ECAI 2016
Y2 - 29 August 2016 through 2 September 2016
ER -
