International audienceCitation analysis is considered as major and one of the most popular branches of bibliometrics. Citation analysis is based on the assumption that all citations have similar values and weights each equally. Speciï¿¿c research ï¿¿elds like content-based citation analysis (CCA) seeks to explain the "how" and "why" of citation behavior. In this paper we tackle to explain the "how" from a centrality indicator based on factors which are built automatically according to the authors' citation behavior. This indicator allows to evaluate bibliographical references' importance for reading the paper with which user interacts. From objective quantitative measurements, factors are computed in order to characterize the level of granu...
Why do some articles become building blocks for future scholars, whereas others remain unnoticed? Th...
The Citation Contexts of a cited entity can be seen as little tesserae that, fit together, can be ex...
Citation analysis has been widely used as an important factor in the assessment of research impact, ...
The characteristics of citation and centrality measures in citation networks can be identified using...
This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the cita...
An analytical scheme that differentiates among the various types of cognitive and social functions o...
Using (binomial) regression analysis, we run models using citation windows of one to ten years with ...
Citation counts are increasingly used to create rankings of scholars or institutions: while social s...
Abstract Traditional citation analysis has been widely applied to detect patterns of scientific coll...
Why do some articles become building blocks for future scholars, while many others remain unnoticed?...
<p>Using (binomial) regression analysis, we run models using citation windows of one to ten years wi...
Current methods for assessing the impact of authors and scientific media employ tools such as H-Inde...
The importance of a research article is routinely measured by counting how many times it has been ci...
Literature citation analysis plays a very important role in bibliometrics and scientometrics, such a...
Why do some articles become building blocks for future scholars, whereas others remain unnoticed? Th...
Why do some articles become building blocks for future scholars, whereas others remain unnoticed? Th...
The Citation Contexts of a cited entity can be seen as little tesserae that, fit together, can be ex...
Citation analysis has been widely used as an important factor in the assessment of research impact, ...
The characteristics of citation and centrality measures in citation networks can be identified using...
This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the cita...
An analytical scheme that differentiates among the various types of cognitive and social functions o...
Using (binomial) regression analysis, we run models using citation windows of one to ten years with ...
Citation counts are increasingly used to create rankings of scholars or institutions: while social s...
Abstract Traditional citation analysis has been widely applied to detect patterns of scientific coll...
Why do some articles become building blocks for future scholars, while many others remain unnoticed?...
<p>Using (binomial) regression analysis, we run models using citation windows of one to ten years wi...
Current methods for assessing the impact of authors and scientific media employ tools such as H-Inde...
The importance of a research article is routinely measured by counting how many times it has been ci...
Literature citation analysis plays a very important role in bibliometrics and scientometrics, such a...
Why do some articles become building blocks for future scholars, whereas others remain unnoticed? Th...
Why do some articles become building blocks for future scholars, whereas others remain unnoticed? Th...
The Citation Contexts of a cited entity can be seen as little tesserae that, fit together, can be ex...
Citation analysis has been widely used as an important factor in the assessment of research impact, ...