Science map** is a generic process of domain analysis and visualization. The scope of a
science map** study can be a scientific discipline, a field of research, or topic areas …

Since the outbreak of COVID-19, various fields have been damaged to varying degrees,
especially in the economic field. According to a comprehensive study of bibliometrics and …

This chapter provides an introduction to the topic of visualizing bibliometric networks. First,
the most commonly studied types of bibliometric networks (ie, citation, co-citation …

In the analysis of bibliometric networks, researchers often use map** and clustering
techniques in a combined fashion. Typically, however, map** and clustering techniques …

A multiple‐perspective cocitation analysis method is introduced for characterizing and
interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic …

This article describes the latest development of a generic approach to detecting and
visualizing emerging trends and transient patterns in scientific literature. The work makes …

This article introduces a previously undescribed method progressively visualizing the
evolution of a knowledge domain's cocitation network. The method first derives a sequence …

This chapter reviews visualization techniques that can not only be utilized to map the
evergrowing domain structure of scientific disciplines but that also support information …

Presents a literature review that covers the following topics related to Latent Semantic
Analysis (LSA):(1) LSA overview;(2) applications of LSA, including information retrieval (IR) …

Map** science at first glance appears to be an oxymoron: how can we map something as
abstract as science? Scientific knowledge seems to occupy an intellectual realm which can …