A bibliometric overview of the International Journal of Strategic Property Management between 2008 and 2019

The International Journal of Strategic Property Management (IJSPM) is an interdisciplinary journal which provides a forum for a broad range of strategic property management research. The topics such as asset and facilities management, property policy, risk management, residential property value enhancement, and housing finance are included in the scope of the IJSPM’s investigation. The aim of this study is to provide a bibliometric analysis of the papers published by the IJSPM which is collected in the well-known Social Science Citation Index database and analyse the current status and the emerging trends of the research outputs in the IJSPM with some broadly utilized as well as diversely designed indicators. By analysing the annual publication distribution, the citation structure, the co-citation and cooperation networks, and the influential contributors on the aspects of specific countries/regions, institutions, cited journals, and authors, the status quo of the IJSPM publications is presented. Also, the emerging trends are explored through the analyses of timeline view and burst detection. We make the contributions in terms of visualizing the complex and significant results based on the objective and quantitative data. This paper assists researchers with an understanding of the development of the IJSPM, which gives useful information for further researches and submitting works

Tweet coupling: a social media methodology for clustering scientific publications

This is an accepted manuscript of an article published by Springer in Scientometrics on 18/05/2020, available online: https://doi.org/10.1007/s11192-020-03499-1 The accepted version of the publication may differ from the final published version.© 2020, Akadémiai Kiadó, Budapest, Hungary. We argue that classic citation-based scientific document clustering approaches, like co-citation or Bibliographic Coupling, lack to leverage the social-usage of the scientific literature originate through online information dissemination platforms, such as Twitter. In this paper, we present the methodology Tweet Coupling, which measures the similarity between two or more scientific documents if one or more Twitter users mention them in the tweet(s). We evaluate our proposal on an altmetric dataset, which consists of 3081 scientific documents and 8299 unique Twitter users. By employing the clustering approaches of Bibliographic Coupling and Tweet Coupling, we find the relationship between the bibliographic and tweet coupled scientific documents. Further, using VOSviewer, we empirically show that Tweet Coupling appears to be a better clustering methodology to generate cohesive clusters since it groups similar documents from the subfields of the selected field, in contrast to the Bibliographic Coupling approach that groups cross-disciplinary documents in the same cluster.The authors (Saeed-Ul Hassan & Mudassir Shabbir) were funded by the CIPL (National Center in Big Data and Cloud Computing (NCBC) grant, received from the Planning Commission of Pakistan, through Higher Education Commission (HEC) of Pakistan. This work was partially supported by the Spanish Ministry of Science and Technology under the projects TIN2017-89517-P and TIN2017-83445-P. Eugenio Martínez Cámara was supported by the Spanish Government Programme Juan de la Cierva Incorporación (IJC2018-036092-I).Published versio

Comprehensive bibliometric study of Journal of Environmental Engineering and Landscape Management from 2007 to 2019

Since the world became industrialized, our environment has been changed, bringing different environmental issues. The world benefits from industrialization but suffers from diverse pollutions simultaneously. Therefore, we are motivated to investigate the environment and landscape management explorations by analyzing 403 papers published in the Journal of Environmental Engineering and Landscape Management (JEELM) from 2007 to 2019. As one of the scientific journals that investigate environment management, JEELM mainly focuses on the area of environmental changes caused by human activities. By analyzing the issues such as atmosphere, water, and soil pollution and their mitigation technologies, JEELM accepts the scientific outputs written in English. Based on the data retrieved from Web of Science, we provide an overview of the status quo and emerging trends of the researches published on JEELM. Diverse researches such as publication distribution, citation structure, co-citation analysis and key contributors on the aspects of countries, institutions, and authors are given to comprehensively analyze the current situation of JEELM’s. Besides, the emerging trends and hot spots can be revealed by burst detection and timeline view. Therefore, this paper contributes to providing a general picture of the knowledge domain of JEELM’ research which enables researchers, especially the beginners to learn about this journal’s development

The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”

The introduction of textual analysis and the use of lexical similarities already proved an important asset in science mapping. Earlier research showed the added value of hybrid document networks over link-based ones through the reduction of the extreme sparseness. However, it was only after the application of Natural Language Processing and phrase extraction that networks purely based on lexical similarities could be used as input for topic detection in quantitative science studies. This study investigates the contribution of the lexical component in hybrid cluster on a set of articles published in the journal Scientometrics since its foundation during four decades. Shifting the weight of the lexical components generates changes in the structure of the underlying hybrid network, which can be detected through clustering techniques. We show that these changes are not moving documents randomly, but in fact identify small groups of papers either at the borderline between different topics or combining those. In addition, the analysis substantiates that the lexical component adopts the structure of the network rather than amplifies hidden structures of the link-based network.status: publishe

Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute