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The 17th International Conference on Scientometrics and Informetrics

Scientometrics, 2020, Vol.125 (2), p.831-834

2020

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Accounting for quality in data integration systems: a completeness-aware integration approach

Scientometrics, 2022-03, Vol.127 (3), p.1465-1490

2022

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Advanced indicators of productivity of universities. An application of robust nonparametric methods to Italian data

Scientometrics, 2006-02, Vol.66 (2), p.389-410

2006

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The advantages of an Ontology-Based Data Management approach: openness, interoperability and data quality

Scientometrics, 2016-07, Vol.108 (1), p.441-455

2016

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Age effects in scientific productivity: The case of the Italian National Research Council (CNR)

Scientometrics, 2003-01, Vol.58 (1), p.49-90

2003

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Assessing the interdependencies between scientific disciplinary profiles

Scientometrics, 2018-09, Vol.116 (3), p.1785-1803

2018

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Beyond university rankings? Generating new indicators on universities by linking data in open platforms

Journal of the Association for Information Science and Technology, 2017-02, Vol.68 (2), p.508-529

2017

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Challenges, Approaches and Solutions in Data Integration for Research and Innovation

Springer Handbook of Science and Technology Indicators, p.397-420

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A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers

Scientometrics, 2020-11, Vol.125 (2), p.1145-1158

2020

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Data integration for research and innovation policy: an Ontology-Based Data Management approach

Scientometrics, 2016-02, Vol.106 (2), p.857-871

2016

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The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata

Scientometrics, 2008-01, Vol.74 (1), p.15-37

2008

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Do social sciences and humanities behave like life and hard sciences?

Scientometrics, 2017-07, Vol.112 (1), p.607-653

2017

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Econometric Approaches to the Measurement of Research Productivity

Springer Handbook of Science and Technology Indicators, p.633-666

Daraio, Cinzia

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An empirical approach to compare the performance of heterogeneous academic fields

Scientometrics, 2013-12, Vol.97 (3), p.601-625

2013

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Exploring size and agglomeration effects on public research productivity

Scientometrics, 2005-04, Vol.63 (1), p.87-120

2005

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Grand challenges in data integration—state of the art and future perspectives: an introduction

Scientometrics, 2016-07, Vol.108 (1), p.391-400

2016

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Heterogeneity of national accounting systems, world-class universities and financial resources: What are the links?

Journal of informetrics, 2024-05, Vol.18 (2), p.101502, Article 101502

2024

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A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape

Scientometrics, 2023, Vol.128 (1), p.483-510

2023

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How should evaluation be? Is a good evaluation of research also just? Towards the implementation of good evaluation

Scientometrics, 2022-12, Vol.127 (12), p.7127-7146

2022

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Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions

Knowledge-based systems, 2021-01, Vol.212, p.106512, Article 106512

2021

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Obituary

Scientometrics, 2022, Vol.127 (2), p.683-685

2022

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Performance model’s development: a novel approach encompassing ontology-based data access and visual analytics

Scientometrics, 2020-11, Vol.125 (2), p.865-892

2020

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A quantitative measure to compare the disciplinary profiles of research systems and their evolution over time

Journal of informetrics, 2014-07, Vol.8 (3), p.710-727

2014

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Studying the heterogeneity of European higher education institutions

Scientometrics, 2020-11, Vol.125 (2), p.1117-1144

2020

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Using Linked Data to Evaluate the Impact of Research and Development in Europe: A Structural Equation Model

The Semantic Web – ISWC 2013, p.244-259

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The 17th International Conference on Scientometrics and Informetrics

Accounting for quality in data integration systems: a completeness-aware integration approach

Advanced indicators of productivity of universities. An application of robust nonparametric methods to Italian data

The advantages of an Ontology-Based Data Management approach: openness, interoperability and data quality

Age effects in scientific productivity: The case of the Italian National Research Council (CNR)

Assessing the interdependencies between scientific disciplinary profiles

Beyond university rankings? Generating new indicators on universities by linking data in open platforms

Challenges, Approaches and Solutions in Data Integration for Research and Innovation

A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers

Data integration for research and innovation policy: an Ontology-Based Data Management approach

The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata

Do social sciences and humanities behave like life and hard sciences?

Econometric Approaches to the Measurement of Research Productivity

An empirical approach to compare the performance of heterogeneous academic fields

Exploring size and agglomeration effects on public research productivity

Grand challenges in data integration—state of the art and future perspectives: an introduction

Heterogeneity of national accounting systems, world-class universities and financial resources: What are the links?

A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape

How should evaluation be? Is a good evaluation of research also just? Towards the implementation of good evaluation

Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions

Obituary

Performance model’s development: a novel approach encompassing ontology-based data access and visual analytics

A quantitative measure to compare the disciplinary profiles of research systems and their evolution over time

Studying the heterogeneity of European higher education institutions

Using Linked Data to Evaluate the Impact of Research and Development in Europe: A Structural Equation Model

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