Cristian Mejía

This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bibliometrics and applied methodologies that exploit various features of the dataset to surface different topic representations. Across them, we observe

As robotics becomes ubiquitous, there is increasing interest in understanding how to develop robots that better respond to social needs, as well as how robotics impacts society. This is evidenced by the growing rate of publications on social robotics. In this article, we analyze the citation network of academic articles on social robotics to understand its structure, reveal research trends and expose its knowledgebase. We found eight major clusters, namely robots as social partners, human factor

The present article explores 98 years of creativity research [1922–2020] covering more than 38,000 academic articles on the topic. By applying computational methods rooted in network analysis and text mining, we uncover a history of creativity research spread through 12 major topics of inquiry, including, among others, the psychology of creativity, organisational creativity, creative industries, and idea generation. We also unpack recent trends within the growing body of literature, with a parti

This study proposes a multilevel conceptual framework for a deeper understanding of the relationship between employee well-being and innovativeness. We overview 49 years of well-being research [1972-2021] and 54 years of research on innovativeness [1967-2021] to uncover 24 dominant themes in well-being and ten primary topics in innovativeness research. Citation network analysis and text semantic similarity were used to develop a conceptual framework featuring 21 components and three levels: indi

Abstract Accounting for scope 3 emissions from investments remains a challenge due to a lack of adequate data and guidelines that do not accommodate the systemic role of firms in the financial chain. Here, we use network analysis to estimate investment-associated scope 3 carbon emissions of public firms. Using shareholder data from publicly traded firms listed on the Tokyo Stock Exchange, we identified the most influential firms by their ownership share values. Environmental responsibility can t

This article reviews literature on manufacturing enterprise performance (MEP) and environmental sustainability (ES) to identify their commonalities and distinguishing factors; it is expected to help determine gaps and paths for future research. Topics are classified based on patterns in the citation networks of 7308 and 6275 MEP and ES articles, respectively. Additionally, a semantic linkage was computed to reveal overlap in vocabulary between the two topics. A total of 17 and 21 topics were fou

Patent analytics is crucial for understanding innovation dynamics and technological trends. However, a comprehensive overview of this rapidly evolving field is lacking. This study presents a data-driven analysis of patent research, employing citation network analysis to categorize and examine research clusters. Here, we show that patent research is characterized by interconnected themes spanning fundamental patent systems, indicator development, methodological advancements, intellectual property

This paper applied a literature-based discovery methodology utilizing citation networks and text mining in order to extract and represent shared terminologies found in disjoint academic literature on food security and the Internet of Things. The topic of food security includes research on improvements in nutrition, sustainable agriculture, and a plurality of other social challenges, while the Internet of Things refers to a collection of technologies from which solutions can be drawn. Academic ar

Robotics market, both for service and industry, has been rapidly growing in the recent years and it is expected to continue in the same way. However, despite the positive forecast, some specific robotic technologies have not found a smooth path to society. In this paper, we investigate the relation between society and robotics by conducting a comprehensive analysis of papers and news articles from 1976 to 2015 with the purpose of elucidating the role of society's sentiment and attention towards

This paper proposes a methodology to identify plausible robotic technologies to address country-specific social issues. Two stages are described. Firstly, we identify and rank country specific social issues by mining semantic relations in a newspaper database. A collection of news about Japan are analyzed through topic models and the social issues are extracted from the topics obtained. In the second stage those social issues are linked to robotic technologies by exploring the academic landscape

Abstract The effect of the injection of externally sourced carbon dioxide (CO2) on the stability of the flameless combustion regime was evaluated numerically and experimentally, taking temperature uniformity and pollution emissions (NO and CO) as criteria. The flameless combustion regime was studied in a lab-scale furnace fueled with natural gas (NG) at a thermal power of 20 kW based on the low heating value (LHV). The CO2 was injected into the lower part of the furnace to directly affect the re

The current state of data availability and computational power have enabled researchers to analyze a large amount of information at unprecedented speed and scale. To do so, researchers have applied methods including text mining, network analysis, machine learning, and others. Those methods have received great attention, and their commonalities and differences have already been subject of study. However, when seen through the eye of the innovation and policy scholar, high-level patterns are share