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Identification of Emerging Scientific Fields Using Text Analysis

https://doi.org/10.2139/ssrn.4766930
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Visualizing knowledge domains
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Similarity measures, author cocitation analysis, and information theory
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Putting Texts in Their Place
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Bibliometric Delineation of Scientific Fields
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A coword analysis of scientometrics
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Searching for adverse drug reactions at the margin of scientific fields
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Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry
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Co-word maps of biotechnology: An example of cognitive scientometrics
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Mapping a research area at the micro level using co-word analysis
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Getting off to a good start: emerging academic fields and early-stage equity financing
inferredcites →https://doi.org/10.1007/s11192-006-0032-1openalex-extracted
Law of cumulative advantages in the evolution of scientific fields
inferredcites →https://doi.org/10.1007/s11192-007-1888-4openalex-extracted
Population modeling of the emergence and development of scientific fields
inferredcites →https://doi.org/10.1007/s11192-007-1898-2openalex-extracted
How to identify emerging research fields using scientometrics: An example in the field of Information Security
inferredcites →https://doi.org/10.1007/s11192-009-0051-9openalex-extracted
Emerging research fronts in science and technology: patterns of new knowledge development
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Intellectual structure of biomedical informatics reflected in scholarly events
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Trends in research foci in life science fields over the last 30 years monitored by emerging topics
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Co-word analysis of the trends in stem cells field based on subject heading weighting
inferredcites →https://doi.org/10.1007/s11192-011-0433-7openalex-extracted
Mixed-indicators model for identifying emerging research areas
inferredcites →https://doi.org/10.1007/s11192-011-0591-7openalex-extracted
Using ‘core documents’ for detecting and labelling new emerging topics
inferredcites →https://doi.org/10.1007/s11192-013-1076-7openalex-extracted
A co-word analysis of library and information science in China
inferredcites →https://doi.org/10.1007/s11192-014-1246-2openalex-extracted
Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP
inferredcites →https://doi.org/10.1007/s11192-014-1327-2openalex-extracted
Research trends in gender differences in higher education and science: a co-word analysis
inferredcites →https://doi.org/10.1007/s11192-014-1347-yopenalex-extracted
Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks
inferredcites →https://doi.org/10.1007/s11192-014-1402-8openalex-extracted
Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)
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Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): a co-word analysis
inferredcites →https://doi.org/10.1007/s11192-017-2301-6openalex-extracted
Using hybrid methods and ‘core documents’ for the representation of clusters and topics: the astronomy dataset
inferredcites →https://doi.org/10.1007/s11192-017-2432-9openalex-extracted
Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA
inferredcites →https://doi.org/10.1007/s11192-017-2604-7openalex-extracted
Identifying the “Ghost City” of domain topics in a keyword semantic space combining citations
inferredcites →https://doi.org/10.1007/s11192-017-2622-5openalex-extracted
Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis
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Two decades of information systems: a bibliometric review
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Frontier knowledge discovery and visualization in cancer field based on KOS and LDA
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Generating process of emerging topics in the life sciences
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Evaluating technological emergence using text analytics: two case technologies and three approaches
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Incorporating citation impact into analysis of research trends
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Mapping the technology evolution path: a novel model for dynamic topic detection and tracking
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Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
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Evolution and diffusion of information literacy topics
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An integrated approach for detecting and quantifying the topic evolutions of patent technology: a case study on graphene field
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Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis
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Draw me Science
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Researcher dynamics in the generation of emerging topics in life sciences and medicine
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Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec
inferredcites →https://doi.org/10.1007/s11192-022-04288-8openalex-extracted
Selecting the appropriate leading journal in Hospitality and Tourism research: a guide based on the topic-journal fit and the JCR impact factor
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Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020
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Women and key positions in scientific collaboration networks: analyzing central scientists’ profiles in the artificial intelligence ecosystem through a gender lens
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Identifying interdisciplinary topics and their evolution based on BERTopic
inferredcites →https://doi.org/10.1016/0048-7333(89)90016-4openalex-extracted
Words and co-words as indicators of intellectual organization
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Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling
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Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling
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PACKAGING INFORMATION FOR PEER REVIEW : NEW CO-WORD ANALYSIS TECHNIQUES
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Hybrid clustering for validation and improvement of subject-classification schemes
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Topic modeling algorithms and applications: A survey
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Research dynamics: Measuring the continuity and popularity of research topics
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Innovation studies—The emerging structure of a new scientific field
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Proliferation dynamics in new sciences
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Innovation: Exploring the knowledge base
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Entrepreneurship: Exploring the knowledge base
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Science and technology studies: Exploring the knowledge base
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Mobilizing for change: A study of research units in emerging scientific fields
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The social structure of entrepreneurship as a scientific field
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Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies
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Emerging technologies: quantitative identification and measurement
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Next-Generation Innovation Policy and Grand Challenges
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INNOVATION POLICY: RATIONALES, LESSONS AND CHALLENGES
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The Structure of Scientific Revolutions
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Probabilistic topic models
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Topic Modeling Using Latent Dirichlet allocation
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Unsupervised Keyword Combination Query Generation from Online Health Related Content for Evidence-Based Fact Checking
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Topic Modeling in Embedding Spaces
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Frame Analysis: An Essay on the Organization of Experience
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A General Theory of Scientific/Intellectual Movements
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Intellectual structure of the institutional repository field: A co-word analysis
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Topic Modelling Meets Deep Neural Networks: A Survey
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INNOVATION SYSTEMS, (GRAND) CHALLENGES AND POLICY
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BERTopic: Neural topic modeling with a class-based TF-IDF procedure
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Latent dirichlet allocation
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Hybrid Clustering for Validation and Improvement of Subject-Classification Schemes
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Latent Dirichlet Allocation
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