output
20172022
most citedData Quality Measures and Data Cleansing for Research Information Systems

58 citations

6 papers

cs.AI2022

GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes

Renaud Fabre, Otmane Azeroual, Patrice Bellot +2

The cognitive manifold of published content is currently expanding in all areas of science. However, Scientific Knowledge Graphs (SKGs) only provide poor pictures of the adversaria…

cs.DC20191 cited

Research Intelligence (CRIS) and the Cloud: A Review

Otmane Azeroual, Joachim Schöpfel

The purpose of this paper is to explore the impact of the cloud technology on current research information systems (CRIS). Based on an overview of published literature and on empir…

cs.CY201939 cited

The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-Up Companies: A Case Study

Otmane Azeroual, Horst Theel

The rapid increase in data volumes in companies has meant that momentous and comprehensive information gathering is barely possible by manual means. Business intelligence solutions…

cs.DB20199 cited

Improving the data quality in the research information systems

Otmane Azeroual, Mohammad Abuosba

In order to introduce an integrated research information system, this will provide scientific institutions with the necessary information on research activities and research result…

cs.DB201958 cited

Data Quality Measures and Data Cleansing for Research Information Systems

Otmane Azeroual, Gunter Saake, Mohammad Abuosba

The collection, transfer and integration of research information into different research Information systems can result in different data errors that can have a variety of negative…

stat.AP20175 cited

Search for Evergreens in Science: A Functional Data Analysis

Ruizhi Zhang, Jian Wang, Yajun Mei

Evergreens in science are papers that display a continual rise in annual citations without decline, at least within a sufficiently long time period. Aiming to better understand eve…