Author: VPInstitute

A Historical and Bibliometric Analysis of the Development of Agile (Book Chapter)

This chapter starts with a brief history of software development from a summary of traditional approaches and presents the conditions that led to agile approaches such as product complexity, shortened life cycle of the market and eventually to the widespread acceptance of Scrum. The authors then compare the narrative to the bibliometric analysis of abstract…
Profiling and predicting the problem-solving patterns in China’s research systems: A methodology of intelligent bibliometrics and empirical insights (FULL-TEXT)

Uncovering the driving forces, strategic landscapes, and evolutionary mechanisms of China’s research systems is attracting rising interest around the globe. One such interest is to understand the problem-solving patterns in China’s research systems now and in the future. Targeting a set of high-quality research articles published by Chinese researchers between 2009 and 2018, and indexed…
Interdisciplinary knowledge combinations and emerging technological topics: Implications for reducing uncertainties in research evaluation (FULL-TEXT)

This article puts forth a new indicator of emerging technological topics as a tool for addressing challenges inherent in the evaluation of interdisciplinary research. We present this indicator and test its relationship with interdisciplinary and atypical research combinations. We perform this test by using metadata of scientific publications in three domains with different interdisciplinarity challenges:…
Scientific publications and COVID-19 “research pivots” during the pandemic: An initial bibliometric analysis (FULL-TEXT pre-print)

An examination is presented of scientific research publication trends during the global coronavirus (COVID-19) pandemic in 2020. After reviewing the timing of the emergence of the pandemic in 2020 and the growth of governmental responses, available secondary and sources are used to highlight impacts of COVID-19 on scientific research. A bibliometric analysis is then undertaken…
Tracking and Mining the COVID-19 Research Literature (FULL-TEXT)

The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. This article profiles this research to help make that knowledge more accessible via overviews and novel categorizations. We provide websites offering means for researchers to probe more deeply to address specific questions. We further…
Bibliometric Analysis of Research Hotspots Related to Marine Oil Spill Accidents in the Environmental Field Based on Web of Science

The objective of this paper is to conduct bibliometric analysis of the relevant literature in the environmental field published from 1982 to 2018 collected by the Web of Science citation database and further explore the frontier research dynamics and hotspots in the environmental field. The word “oil spill*” was used as the subject term for…
The effect of competitive public funding on scientific output: A comparison between China and the EU

Public funding is believed to play an important role in the development of science and technology. However, whether public funding and, in particular, competitive funding from public agencies actually helps to increase scientific output (i.e. publications) remains a matter of debate. By analysing a dataset of co-publications between China and the EU and a dataset…
Mining Technological Innovation Talents Based on Patent Index using t-SNE Algorithms*: Take the Field of Intelligent Robot as an Example

The purpose of this paper is to effectively evaluate the innovation ability and classification of technical talents in the intelligent robot field, and to be able to carry out adaptive learning and mining technical innovation talents according to the real-time change data corresponding to different indicators. Taking inventor’s patent information retrieved and cleaned from DI…
Neglected tropical diseases in Brazil: lack of correlation between disease burden, research funding and output

Objectives To assess the correlation between the burden of seven priority neglected tropical diseases (NTDs) included in the Brazilian National Agenda of Priorities in Health Research – tuberculosis, Chagas disease, leprosy, malaria, leishmaniasis, dengue and schistosomiasis – and their respective research funding and output. Methods This retrospective review obtained data on disease burden from the…
Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease (FULL-TEXT)

Knowledge base construction (KBC) aims to populate knowledge bases with high-quality information from unstructured data but how to effectively conduct KBC from scientific documents with limited preknowledge is still elusive. This paper proposes a KBC framework by applying computational intelligent techniques through the integration of intelligent bibliometrics—e.g., co-occurrence analysis is used for profiling research topics/domains…