Piloting Topic-Aware Research Impact Assessment Features in BIP! Services

Name: Piloting Topic-Aware Research Impact Assessment Features in BIP! Services
Keywords: FOS: Computer and information sciences, open science, Computer Science - Digital Libraries, Digital Libraries (cs.DL), research assessment, scholarly knowledge graphs, Information Retrieval (cs.IR), Computer Science - Information Retrieval

Serafeim Chatzopoulos; Kleanthis Vichos; Ilias Kanellos; Thanasis Vergoulis

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ZENODO

Presentation . 2023

License: CC BY

Data sources: Datacite

ZENODO

Presentation . 2023

License: CC BY

Data sources: Datacite

arXiv.org e-Print Archive

Preprint . 2023

Data sources: arXiv.org e-Print Archive

https://doi.org/10.1007/978-3-...

Part of book or chapter of book . 2023 . Peer-reviewed

License: Springer Nature TDM

Data sources: Crossref

http://dx.doi.org/10.1007/978-...

Part of book or chapter of book

License: Springer Nature TDM

Full-Text: https://link.springer.com/content/pdf/10.1007/978-3-031-43458-7

Data sources: Sygma

https://dx.doi.org/10.48550/ar...

Article . 2023

License: CC BY

Data sources: Datacite

DBLP

Article

Data sources: DBLP

DBLP

Conference object

Data sources: DBLP

http://dx.doi.org/10.48550/arX...

Article . 2023 . Peer-reviewed

Data sources: European Union Open Data Portal

Piloting Topic-Aware Research Impact Assessment Features in BIP! Services

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Presentation , Preprint , Conference object 01 Jan 2023Embargo end date: 01 Jan 2023 English Publisher:Springer Nature SwitzerlandFunded by:EC | GraspOS, EC | SciLake, EC | OpenAIRE Nexus

Authors: Serafeim Chatzopoulos; Kleanthis Vichos; Ilias Kanellos; Thanasis Vergoulis;

doi: 10.1007/978-3-031-43458-7_15 , 10.48550/arxiv.2305.06047 , 10.5281/zenodo.7984968 , 10.5281/zenodo.7984967

arXiv: 2305.06047

Piloting Topic-Aware Research Impact Assessment Features in BIP! Services

- Summary
- Subjects
- Metrics

Abstract

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 advocate for the use of topic-aware categorical impact indicators, to alleviate the aforementioned problem. In addition, we extend BIP! Services to support those indicators and showcase their benefits in real-world research activities.

5 pages, 2 figures

Related Organizations

Athena Research and Innovation Center In Information Communication & Knowledge Technologies
Greece

Keywords

FOS: Computer and information sciences, open science, Computer Science - Digital Libraries, Digital Libraries (cs.DL), research assessment, scholarly knowledge graphs, Information Retrieval (cs.IR), Computer Science - Information Retrieval

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average