activity
20202026
most citedAtrapos: Real-time Evaluation of Metapath Query Workloads

6 citations · 15 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DL2026

BIP! Ranker: A Software Library for Citation-Based Impact Indicators on Large-Scale Graphs

Ilias Kanellos, Serafeim Chatzopoulos, Thanasis Vergoulis

Scientific impact is multidimensional: overall influence, current popularity, early citation momentum, and field-relative performance each capture a distinct facet of a publication…

cs.DL2023★ 3 cited

BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops

Paris Koloveas, Serafeim Chatzopoulos, Christos Tryfonopoulos +1

In the field of Computer Science, conference and workshop papers serve as important contributions, carrying substantial weight in research assessment processes, compared to other d…

cs.IR2023

Piloting topic-aware research impact assessment features in BIP! Services

Serafeim Chatzopoulos, Kleanthis Vichos, Ilias Kanellos +1

Various research activities rely on citation-based impact indicators. However these indicators are usually globally computed, hindering their proper interpretation in applications…

cs.DL2022

BIP! Scholar: A Service to Facilitate Fair Researcher Assessment

Thanasis Vergoulis, Serafeim Chatzopoulos, Kleanthis Vichos +4

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 rely…

cs.DB2022★ 6 cited

Atrapos: Real-time Evaluation of Metapath Query Workloads

Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas +3

Heterogeneous information networks (HINs) represent different types of entities and relationships between them. Exploring, analysing, and extracting knowledge from such networks re…

cs.DC2021

SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

Thanasis Vergoulis, Konstantinos Zagganas, Loukas Kavouras +3

In the era of data-driven science, conducting computational experiments that involve analysing large datasets using heterogeneous computational clusters, is part of the everyday ro…