6 citations · 20 across the 12 of their papers we have counts for
12 papers
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…
Scientific Knowledge Discovery in the Age of Large Language Models
Eleni Adamidi, Serafeim Chatzopoulos, Thanasis Vergoulis
The rapid growth of scholarly literature has made identifying relevant publications increasingly difficult, and conventional search systems still depend heavily on manually formula…
A Template-Driven Platform for Contextualised Researcher Profiles
Serafeim Chatzopoulos, Paris Koloveas, Kleanthis Vichos +2
Modern researchers engage in diverse activities, assume multiple contribution roles, and produce a variety of outputs beyond traditional publications. This broader view of research…
InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
Paris Koloveas, Serafeim Chatzopoulos, Thanasis Vergoulis +1
The proliferation of scientific literature presents an increasingly significant challenge for researchers. While Large Language Models (LLMs) offer promise, existing tools often pr…
Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers
Paris Koloveas, Serafeim Chatzopoulos, Dionysis Diamantis +2
The growing volume of scientific literature makes it challenging for scientists to move from a list of papers to a synthesized understanding of a topic. Because of the constant inf…
From raw affiliations to organization identifiers
Myrto Kallipoliti, Serafeim Chatzopoulos, Miriam Baglioni +3
Accurate affiliation matching, which links affiliation strings to standardized organization identifiers, is critical for improving research metadata quality, facilitating comprehen…
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
Paris Koloveas, Serafeim Chatzopoulos, Thanasis Vergoulis +1
This work investigates the ability of open Large Language Models (LLMs) to predict citation intent through in-context learning and fine-tuning. Unlike traditional approaches relyin…
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…
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…
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…
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…
BIP! DB: A Dataset of Impact Measures for Scientific Publications
Thanasis Vergoulis, Ilias Kanellos, Claudio Atzori +5
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…