Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Vergoulis, Thanasis"'
In the field of Computer Science, conference and workshop papers serve as important contributions, carrying substantial weight in research assessment processes, compared to other disciplines. However, a considerable number of these papers are not ass
Externí odkaz:
http://arxiv.org/abs/2307.12794
Various research activities rely on citation-based impact indicators. However these indicators are usually globally computed, hindering their proper interpretation in applications like research assessment and knowledge discovery. In this work, we adv
Externí odkaz:
http://arxiv.org/abs/2305.06047
Autor:
Vergoulis, Thanasis, Chatzopoulos, Serafeim, Vichos, Kleanthis, Kanellos, Ilias, Mannocci, Andrea, Manola, Natalia, Manghi, Paolo
In recent years, assessing the performance of researchers has become a burden due to the extensive volume of the existing research output. As a result, evaluators often end up relying heavily on a selection of performance indicators like the h-index.
Externí odkaz:
http://arxiv.org/abs/2205.03152
Autor:
Chatzopoulos, Serafeim, Vergoulis, Thanasis, Skoutas, Dimitrios, Dalamagas, Theodore, Tryfonopoulos, Christos, Karras, Panagiotis
Heterogeneous information networks (HINs) represent different types of entities and relationships between them. Exploring, analysing, and extracting knowledge from such networks relies on metapath queries that identify pairs of entities connected by
Externí odkaz:
http://arxiv.org/abs/2201.04058
Autor:
Vergoulis, Thanasis, Zagganas, Konstantinos, Kavouras, Loukas, Reczko, Martin, Sartzetakis, Stelios, Dalamagas, Theodore
In the era of data-driven science, conducting computational experiments that involve analysing large datasets using heterogeneous computational clusters, is part of the everyday routine for many scientists. Moreover, to ensure the credibility of thei
Externí odkaz:
http://arxiv.org/abs/2103.13138
Autor:
Vergoulis, Thanasis, Kanellos, Ilias, Atzori, Claudio, Mannocci, Andrea, Chatzopoulos, Serafeim, La Bruzzo, Sandro, Manola, Natalia, Manghi, Paolo
Publikováno v:
WWW (Companion Volume) 2021: 456-460
The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures w
Externí odkaz:
http://arxiv.org/abs/2101.12001
Estimating the expected impact of an article is valuable for various applications (e.g., article/cooperator recommendation). Most existing approaches attempt to predict the exact number of citations each article will receive in the near future, howev
Externí odkaz:
http://arxiv.org/abs/2012.15192
Autor:
Kanellos, Ilias, Vergoulis, Thanasis, Sacharidis, Dimitris, Dalamagas, Theodore, Vassiliou, Yannis
The constantly increasing rate at which scientific papers are published makes it difficult for researchers to identify papers that currently impact the research field of their interest. Hence, approaches to effectively identify papers of high impact
Externí odkaz:
http://arxiv.org/abs/2006.00951
Autor:
Chatzopoulos, Serafeim1 (AUTHOR) schatzop@uop.gr, Vergoulis, Thanasis2 (AUTHOR), Dalamagas, Theodore2 (AUTHOR), Tryfonopoulos, Christos1 (AUTHOR)
Publikováno v:
International Journal on Digital Libraries. Mar2022, Vol. 23 Issue 1, p57-75. 19p.
Autor:
Martin, Corinne, De Ruyck, Kim, Portugal Melo, Ana, Stansberg, Christine, Alloza, Eva, Anton, Mihail, Balsyte, Erika, Barlow, Mary, Bruno, Chiara, Ben-Avraham, Danny, Battistella, Diana, Blomberg, Niklas, Chasapi, Anastasia, Cook, Martin, Dangles, Marie, De Freitas, Mariana, Delva, Emily, Dubar, Elsa, De Leo, Francesca, Farrell, Gavin, Ferk, Polonca, van Gelder, Celia, Gurwitz, Kim, Harrison, Elaine, Hooft, Rob, Jansen, Mascha, Knox, Catherine, Lauer, Kathi, Leskošek, Brane, Lindvall, Jessica, Maus, Irena, Milano, Annalisa, Ouzounis, Christos, Pérez Sitjà, Xènia, Törnroos, Johanna, Tseng, Zippy, Ruch, Patrick, Saenz, Angela, Schnitzer, Helena, Smith, Andrew, Sousoni, Despoina, Strachotova, Anna, Vergoulis, Thanasis, Witham, Rick, Wong, Nichola
An Impact Toolkit was created to support performance and impact evaluation in ELIXIR. The intended audience of this Toolkit is operators, developers and managers wishing to demonstrate and communicate the performance, impact, and ultimately public va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6294b1f6e2a80d1fe36b8a5ef6c9e176