Mapping scientific institutions

International audienceWe have developed a set of routines that allows to draw easily different maps of the research carried out in a scientific institution. Our toolkit uses OpenSource elements to analyze bibliometric data gathered from the Web Of Science. We take the example of our institution, ENS de Lyon, to show how different maps, using co-occurrence (of authors, keywords, institutions...) and bibliographic coupling can be built. These maps may become a valuable tool for discussing institutions' policies, as they offer different views on the institution at a global scale

Analysing Scientific Collaborations of New Zealand Institutions using Scopus Bibliometric Data

Scientific collaborations are among the main enablers of development in small national science systems. Although analysing scientific collaborations is a well-established subject in scientometrics, evaluations of scientific collaborations within a country remain speculative with studies based on a limited number of fields or using data too inadequate to be representative of collaborations at a national level. This study represents a unique view on the collaborative aspect of scientific activities in New Zealand. We perform a quantitative study based on all Scopus publications in all subjects for more than 1500 New Zealand institutions over a period of 6 years to generate an extensive mapping of scientific collaboration at a national level. The comparative results reveal the level of collaboration between New Zealand institutions and business enterprises, government institutions, higher education providers, and private not for profit organisations in 2010-2015. Constructing a collaboration network of institutions, we observe a power-law distribution indicating that a small number of New Zealand institutions account for a large proportion of national collaborations. Network centrality concepts are deployed to identify the most central institutions of the country in terms of collaboration. We also provide comparative results on 15 universities and Crown research institutes based on 27 subject classifications.Comment: 10 pages, 15 figures, accepted author copy with link to research data, Analysing Scientific Collaborations of New Zealand Institutions using Scopus Bibliometric Data. In Proceedings of ACSW 2018: Australasian Computer Science Week 2018, January 29-February 2, 2018, Brisbane, QLD, Australi

Assessing the influence of R&D institutions by mapping international scientific networks: the case of INESC Porto

Although scientometric and bibliometric studies embrace a much wider perspective of the linkages/networks of R&D institutions than standard economic studies, to the best of our knowledge, these studies have not yet made use of scientometric tools to analyse the influence and impact of R&D institutions. Moreover, the international perspective has so far been neglected both in standard and bibliometric studies. Based on networks of 1239 foreign co-authorships and 13035 foreign citation linkages, we demonstrate that INESC Porto international influence has considerably expanded since 2003, a year that coincided with the implementation of an internal policy of granting monetary prizes to publications in scientific international journals. In terms of co-authorship, the network of INESC Porto more than duplicated (13 countries in the initial period to 27 in 2004-07). In terms of citations, INESC Porto’s network encompassed almost 40 countries during the whole period (1996-2007). Its more prolific units (optoelectronics, energy and multimedia) presented a rather distinct pattern both in terms of size and evolution of the corresponding network boundaries. The network size of foreign co-authorships was not much different between the three units by the beginning of the 2000s (around 10 countries) but it evolved quite distinctly. The most remarkable pattern was registered by the multimedia (UTM) unit, whose network size rose exponentially to 21 countries in 2004-07. This contrasted with the decline (down to 8 countries) of the energy (USE) unit. The citation network of the optoelectronic unit (UOSE) was by far the largest, until 2003, involving 34 distinct countries, which contrasted with the size of USE (12 countries) and UTM (1 country). But again, after 2003, the size of the citation network of USE and UTM converged spectacularly to that of UOSE’s, reaching in the last period 21 and 16, respectively. The influence of INESC Porto reaches all five continents, especially when we consider citation networks. Indeed, excluding the citations from authors affiliated in Portuguese institutions, those that most cite INESC Porto’s (and UOSE’s) works are affiliated in institutions located in China, the UK and the US. The scientific works produced by USE influences mostly authors affiliated in institutions located in India, China and Spain, whereas for UTM the corresponding countries are the US, Germany and Italy. We infer from the evidence analysed that not only did the boundaries of INESC Porto’s scientific network substantially enlarge in the period of analysis (1996-2007) but its ‘quality’ also evidenced a positive evolution, with authors affiliated in institutions located in the scientific frontier countries citing works of INESC Porto (and its units). Length: 64 pagesBibliometrics, Knowledge networks; R&D Institutions

Assessing the influence of R&D institutions by mapping international scientific networks: the case of INESC Porto

Although scientometric and bibliometric studies embrace a much wider perspective of the linkages/networks of R&D institutions than standard economic studies, to the best of our knowledge, these studies have not yet made use of scientometric tools to analyse the influence and impact of R&D institutions. Moreover, the international perspective has so far been neglected both in standard and bibliometric studies. Based on networks of 1239 foreign co-authorships and 13035 foreign citation linkages, we demonstrate that INESC Porto international influence has considerably expanded since 2003, a year that coincided with the implementation of an internal policy of granting monetary prizes to publications in scientific international journals. In terms of co-authorship, the network of INESC Porto more than duplicated (13 countries in the initial period to 27 in 2004-07). In terms of citations, INESC Porto’s network encompassed almost 40 countries during the whole period (1996-2007). Its more prolific units (optoelectronics, energy and multimedia) presented a rather distinct pattern both in terms of size and evolution of the corresponding network boundaries. The network size of foreign co-authorships was not much different between the three units by the beginning of the 2000s (around 10 countries) but it evolved quite distinctly. The most remarkable pattern was registered by the multimedia (UTM) unit, whose network size rose exponentially to 21 countries in 2004-07. This contrasted with the decline (down to 8 countries) of the energy (USE) unit. The citation network of the optoelectronic unit (UOSE) was by far the largest, until 2003, involving 34 distinct countries, which contrasted with the size of USE (12 countries) and UTM (1 country). But again, after 2003, the size of the citation network of USE and UTM converged spectacularly to that of UOSE’s, reaching in the last period 21 and 16, respectively. The influence of INESC Porto reaches all five continents, especially when we consider citation networks. Indeed, excluding the citations from authors affiliated in Portuguese institutions, those that most cite INESC Porto’s (and UOSE’s) works are affiliated in institutions located in China, the UK and the US. The scientific works produced by USE influences mostly authors affiliated in institutions located in India, China and Spain, whereas for UTM the corresponding countries are the US, Germany and Italy. We infer from the evidence analysed that not only did the boundaries of INESC Porto’s scientific network substantially enlarge in the period of analysis (1996-2007) but its ‘quality’ also evidenced a positive evolution, with authors affiliated in institutions located in the scientific frontier countries citing works of INESC Porto (and its units).Bibliometrics, Knowledge networks; R&D Institutions

Opinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)

Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.The research was funded by Programa Operativo FEDER Andalucía 2014‐2020, grant number “La reputación de las organizaciones en una sociedad digital. Elaboración de una Plataforma Inteligente para la Localización, Identificación y Clasificación de Influenciadores en los Medios Sociales Digitales (UMA18‐ FEDERJA‐148)” and The APC was funded by the same research gran

Excellence Mapping: Bibliometric study of the productivity and the impact of scientific publications of the JRC: Mapping of scientific areas and application areas: Volume 2: Analysis of the JRC collaborations with world academic institutions

The present report is the second volume of the Joint Research Centre (JRC) excellence mapping. While the first volume concentrates on the productivity and the impact of the JRC scientific work, in terms of publications and citations, in general, the present volume analyses a particular subset of publications that have been jointly produced with scientists from other organisations. In particular, it analyses the co-authored publications between the JRC and the world academic institutions, which are highly ranked in different world university rankings. In the context of this analysis, three different rankings have been used (Times higher education ranking, QS world university ranking and Academic ranking of world universities) and the Top-100 academic institutions in each of them have been analysed in order to investigate: 1) the existence of formal agreements with the JRC; 2) number of co-authored publications with the JRC and 3) the scientific areas where the collaborations occur.JRC.A.2-Planning, Evaluation and Knowledge Managemen

Mapping World Scientific Collaboration on the Research of COVID-19: Authors, Journals, Institutions, and Countries

The COVID-19 (2019 novel Coronavirus) is the most widespread pandemic infectious disease encountered in human history. Its economic losses and the number of countries involved rank first in the history of human viruses. After the outbreak, researchers in the field of medicine quickly carried out scientific research on the virus. Through a visual analysis of relevant scientific research papers from January 1st to April 1st, 2020, we can grasp the worldwide scientific research cooperation situation of 2019-nCoV research and reflect the international collaboration in combating the pandemic. To this end, 415 papers indexed in Thomson Reuters’s Web of Science were studied to provide a visualized description of scientific collaborations across the world by multiple levels, including author level, journal level, institution level and country level

Analisis Tren Topik Publikasi Ilmiah Dosen Jurusan Teknik Komputer Menggunakan Co-Words Analysis

One important factor in the development of science is through research in the relevant field. This was done to answer various problems and expand the scope of knowledge in this field of science. In Indonesia, seminars are conducted by both government and non-government institutions with the aim of being a forum for academics, practitioners, and researchers to re-correct the results of scientific articles in order to perfect these scientific articles. Previous bibliometric researchers more often studied papers, theses, dissertations and scientific journals. This is done to view usage, collection, obsolescence of information, knowledge mapping, etc. Based on the information above, the following is the background of this research, first, there is no scientific mapping to see trends in research topics, especially in scientific articles in the field of computer science, especially in the Computer Engineering and informatics department. Based on the formulation of the problem to be studied related to research topic trends and bibliometric studies of scientific articles in the proceedings in the field of computer science and information at seminars and conferences in Indonesia, a measuring instrument in the form of numbers will be used. The results of this study indicate that the trend of article research topics that are developing in the 2021-2023 period are data science and IoT, while the results of the citation analysis carried out show that the most widely used type of literature in writing scientific articles is journal literature (93.49%)