Revista y Edición

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Volumen 7 (2022): Edición 3 (August 2022)

Volumen 7 (2022): Edición 2 (April 2022)

Volumen 7 (2022): Edición 1 (February 2022)

Volumen 6 (2021): Edición 4 (November 2021)

Volumen 6 (2021): Edición 3 (June 2021)

Volumen 6 (2021): Edición 2 (April 2021)

Volumen 6 (2021): Edición 1 (February 2021)

Volumen 5 (2020): Edición 4 (November 2020)

Volumen 5 (2020): Edición 3 (August 2020)

Volumen 5 (2020): Edición 2 (April 2020)

Volumen 5 (2020): Edición 1 (February 2020)

Volumen 4 (2019): Edición 4 (December 2019)

Volumen 4 (2019): Edición 3 (August 2019)

Volumen 4 (2019): Edición 2 (May 2019)

Volumen 4 (2019): Edición 1 (February 2019)

Volumen 3 (2018): Edición 4 (November 2018)

Volumen 3 (2018): Edición 3 (August 2018)

Volumen 3 (2018): Edición 2 (May 2018)

Volumen 3 (2018): Edición 1 (February 2018)

Volumen 2 (2017): Edición 4 (December 2017)

Volumen 2 (2017): Edición 3 (August 2017)

Volumen 2 (2017): Edición 2 (May 2017)

Volumen 2 (2017): Edición 1 (February 2017)

Volumen 1 (2016): Edición 4 (November 2016)

Volumen 1 (2016): Edición 3 (August 2016)

Volumen 1 (2016): Edición 2 (May 2016)

Volumen 1 (2016): Edición 1 (February 2016)

Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

Volumen 7 (2022): Edición 3 (August 2022)

Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

5 Artículos

Opinion

Acceso abierto

Bibliometrics Is Valuable Science. Why Do Some Journals Seem to Oppose It?

Publicado en línea: 22 Apr 2022
Páginas: 1 - 4

Resumen

Research Paper

Acceso abierto

Convergence of Impact Measures and Impact Bundles

Publicado en línea: 16 Jul 2022
Páginas: 5 - 19

Resumen

Abstract Purpose

A new point of view in the study of impact is introduced.

Design/methodology/approach

Using fundamental theorems in real analysis we study the convergence of well-known impact measures.

Findings

We show that pointwise convergence is maintained by all well-known impact bundles (such as the h-, g-, and R-bundle) and that the μ-bundle even maintains uniform convergence. Based on these results, a classification of impact bundles is given.

Research limitations

As for all impact studies, it is just impossible to study all measures in depth.

Practical implications

It is proposed to include convergence properties in the study of impact measures.

Originality/value

This article is the first to present a bundle classification based on convergence properties of impact bundles.

Palabras clave

  • Pointwise and uniform convergence of impact measures and bundles
  • Second Dini theorem
  • Arzelà’s theorem
  • Bundle classification
  • Generalized h- and g-indices
  • percentiles
Acceso abierto

A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease

Publicado en línea: 12 Aug 2022
Páginas: 20 - 48

Resumen

Abstract Purpose

Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.

Design/methodology/approach

This study constructs a morphology-driven method for measuring technology complementarity, taking medical field as an example. First, we calculate semantic similarities between subjects (S and S) and action-objects (AO and AO) based on the Metathesaurus, forming clusters of S and AO based on a semantic similarity matrix. Second, we identify key technology issues and methods based on clusters of S and AO. Third, a technology morphology matrix of several dimensions is constructed using morphology analysis, and the matrix is filled with subjects -action-objects (SAO) structures according to corresponding key technology issues and methods for different institutions. Finally, the technology morphology matrix is used to measure the technology complementarity between different institutions based on SAO.

Findings

The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.

Research limitations

In future studies we will reprocess and identify the SAO structures which were not in the technology morphology matrix, and find other methods to characterize key technical issues and methods. Furthermore, we will add the comparison between proposed method and traditional and mostly used complementarity measurement method based on industry chain and industry code.

Practical implications

This study takes medical field as an example. The morphology-driven method for measuring technology complementarity can be migrated and applied for any given field.

Originality/value

From the perspective of complementary technology resources, this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.

Palabras clave

  • Technology complementarity
  • SAO structure
  • Technology morphology analysis
  • Alzheimer's disease
Acceso abierto

A Use Case of Patent Classification Using Deep Learning with Transfer Learning

Publicado en línea: 12 Aug 2022
Páginas: 49 - 70

Resumen

Abstract Purpose

Patent classification is one of the areas in Intellectual Property Analytics (IPA), and a growing use case since the number of patent applications has been increasing worldwide. We propose using machine learning algorithms to classify Portuguese patents and evaluate the performance of transfer learning methodologies to solve this task.

Design/methodology/approach

We applied three different approaches in this paper. First, we used a dataset available by INPI to explore traditional machine learning algorithms and ensemble methods. After preprocessing data by applying TF-IDF, FastText and Doc2Vec, the models were evaluated by cross-validation in 5 folds. In a second approach, we used two different Neural Networks architectures, a Convolutional Neural Network (CNN) and a bi-directional Long Short-Term Memory (BiLSTM). Finally, we used pre-trained BERT, DistilBERT, and ULMFiT models in the third approach.

Findings

BERTTimbau, a BERT architecture model pre-trained on a large Portuguese corpus, presented the best results for the task, even though with a performance of only 4% superior to a LinearSVC model using TF-IDF feature engineering.

Research limitations

The dataset was highly imbalanced, as usual in patent applications, so the classes with the lowest samples were expected to present the worst performance. That result happened in some cases, especially in classes with less than 60 training samples.

Practical implications

Patent classification is challenging because of the hierarchical classification system, the context overlap, and the underrepresentation of the classes. However, the final model presented an acceptable performance given the size of the dataset and the task complexity. This model can support the decision and improve the time by proposing a category in the second level of ICP, which is one of the critical phases of the grant patent process.

Originality/value

To our knowledge, the proposed models were never implemented for Portuguese patent classification.

Palabras clave

  • Natural Language Processing (NLP)
  • Patent classification
  • Transfer Learning
  • Bi-directional Encoder Representations for Transformers (BERT)
Acceso abierto

Implications of Publication Requirements for the Research Output of Ukrainian Academics in Scopus in 1999–2019

Publicado en línea: 12 Aug 2022
Páginas: 71 - 93

Resumen

Abstract Purpose

This article explores the implications of publication requirements for the research output of Ukrainian academics in Scopus in 1999–2019. As such it contributes to the existing body of knowledge on quantitative and qualitative effects of research evaluation policies.

Design/methodology/approach

Three metrics were chosen to analyse the implications of publication requirements for the quality of research output: publications in predatory journals, publications in local journals and publications per SNIP quartile from the disciplinary perspective.

Findings

Study results highlight, that, firstly, publications of Ukrainian authors in predatory journals rose to 1% in 2019. Secondly, the share of publications in local journals reached the peak of 47.3% in 2015. In 2019 it fell to 31.8%. Thirdly, though the total number of publications has risen dramatically since 2011, but the share of Q3+Q4 has exceeded the share of Q1+Q2. To summarise, the study findings highligh, that research evaluation policies are required to contain not only quantitative but also qualitative criteria.

Research limitation

The study does not explore in detail the effects of a particular type of publication requirements.

Practical implications

The findings of the study have practical implications for policymakers and university managers aimed to develop research evaluation policies.

Originality/value

This paper gains insights into the effects of publication requirements on the research output of Ukrainian academics in Scopus.

Palabras clave

  • Publication requirements
  • Local journals
  • Predatory journals
  • Scopus
  • Ukraine
5 Artículos

Opinion

Acceso abierto

Bibliometrics Is Valuable Science. Why Do Some Journals Seem to Oppose It?

Publicado en línea: 22 Apr 2022
Páginas: 1 - 4

Resumen

Research Paper

Acceso abierto

Convergence of Impact Measures and Impact Bundles

Publicado en línea: 16 Jul 2022
Páginas: 5 - 19

Resumen

Abstract Purpose

A new point of view in the study of impact is introduced.

Design/methodology/approach

Using fundamental theorems in real analysis we study the convergence of well-known impact measures.

Findings

We show that pointwise convergence is maintained by all well-known impact bundles (such as the h-, g-, and R-bundle) and that the μ-bundle even maintains uniform convergence. Based on these results, a classification of impact bundles is given.

Research limitations

As for all impact studies, it is just impossible to study all measures in depth.

Practical implications

It is proposed to include convergence properties in the study of impact measures.

Originality/value

This article is the first to present a bundle classification based on convergence properties of impact bundles.

Palabras clave

  • Pointwise and uniform convergence of impact measures and bundles
  • Second Dini theorem
  • Arzelà’s theorem
  • Bundle classification
  • Generalized h- and g-indices
  • percentiles
Acceso abierto

A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease

Publicado en línea: 12 Aug 2022
Páginas: 20 - 48

Resumen

Abstract Purpose

Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.

Design/methodology/approach

This study constructs a morphology-driven method for measuring technology complementarity, taking medical field as an example. First, we calculate semantic similarities between subjects (S and S) and action-objects (AO and AO) based on the Metathesaurus, forming clusters of S and AO based on a semantic similarity matrix. Second, we identify key technology issues and methods based on clusters of S and AO. Third, a technology morphology matrix of several dimensions is constructed using morphology analysis, and the matrix is filled with subjects -action-objects (SAO) structures according to corresponding key technology issues and methods for different institutions. Finally, the technology morphology matrix is used to measure the technology complementarity between different institutions based on SAO.

Findings

The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.

Research limitations

In future studies we will reprocess and identify the SAO structures which were not in the technology morphology matrix, and find other methods to characterize key technical issues and methods. Furthermore, we will add the comparison between proposed method and traditional and mostly used complementarity measurement method based on industry chain and industry code.

Practical implications

This study takes medical field as an example. The morphology-driven method for measuring technology complementarity can be migrated and applied for any given field.

Originality/value

From the perspective of complementary technology resources, this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.

Palabras clave

  • Technology complementarity
  • SAO structure
  • Technology morphology analysis
  • Alzheimer's disease
Acceso abierto

A Use Case of Patent Classification Using Deep Learning with Transfer Learning

Publicado en línea: 12 Aug 2022
Páginas: 49 - 70

Resumen

Abstract Purpose

Patent classification is one of the areas in Intellectual Property Analytics (IPA), and a growing use case since the number of patent applications has been increasing worldwide. We propose using machine learning algorithms to classify Portuguese patents and evaluate the performance of transfer learning methodologies to solve this task.

Design/methodology/approach

We applied three different approaches in this paper. First, we used a dataset available by INPI to explore traditional machine learning algorithms and ensemble methods. After preprocessing data by applying TF-IDF, FastText and Doc2Vec, the models were evaluated by cross-validation in 5 folds. In a second approach, we used two different Neural Networks architectures, a Convolutional Neural Network (CNN) and a bi-directional Long Short-Term Memory (BiLSTM). Finally, we used pre-trained BERT, DistilBERT, and ULMFiT models in the third approach.

Findings

BERTTimbau, a BERT architecture model pre-trained on a large Portuguese corpus, presented the best results for the task, even though with a performance of only 4% superior to a LinearSVC model using TF-IDF feature engineering.

Research limitations

The dataset was highly imbalanced, as usual in patent applications, so the classes with the lowest samples were expected to present the worst performance. That result happened in some cases, especially in classes with less than 60 training samples.

Practical implications

Patent classification is challenging because of the hierarchical classification system, the context overlap, and the underrepresentation of the classes. However, the final model presented an acceptable performance given the size of the dataset and the task complexity. This model can support the decision and improve the time by proposing a category in the second level of ICP, which is one of the critical phases of the grant patent process.

Originality/value

To our knowledge, the proposed models were never implemented for Portuguese patent classification.

Palabras clave

  • Natural Language Processing (NLP)
  • Patent classification
  • Transfer Learning
  • Bi-directional Encoder Representations for Transformers (BERT)
Acceso abierto

Implications of Publication Requirements for the Research Output of Ukrainian Academics in Scopus in 1999–2019

Publicado en línea: 12 Aug 2022
Páginas: 71 - 93

Resumen

Abstract Purpose

This article explores the implications of publication requirements for the research output of Ukrainian academics in Scopus in 1999–2019. As such it contributes to the existing body of knowledge on quantitative and qualitative effects of research evaluation policies.

Design/methodology/approach

Three metrics were chosen to analyse the implications of publication requirements for the quality of research output: publications in predatory journals, publications in local journals and publications per SNIP quartile from the disciplinary perspective.

Findings

Study results highlight, that, firstly, publications of Ukrainian authors in predatory journals rose to 1% in 2019. Secondly, the share of publications in local journals reached the peak of 47.3% in 2015. In 2019 it fell to 31.8%. Thirdly, though the total number of publications has risen dramatically since 2011, but the share of Q3+Q4 has exceeded the share of Q1+Q2. To summarise, the study findings highligh, that research evaluation policies are required to contain not only quantitative but also qualitative criteria.

Research limitation

The study does not explore in detail the effects of a particular type of publication requirements.

Practical implications

The findings of the study have practical implications for policymakers and university managers aimed to develop research evaluation policies.

Originality/value

This paper gains insights into the effects of publication requirements on the research output of Ukrainian academics in Scopus.

Palabras clave

  • Publication requirements
  • Local journals
  • Predatory journals
  • Scopus
  • Ukraine

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