The Hirsch index (commonly referred to as h-index) is a bibliometric indicator which is widely recognized as effective for measuring the scientific production of a scholar since it summarizes size and impact of the research output. In a formal setting, the h-index is actually an empirical functional of the distribution of the citation counts received by the scholar. Under this approach, the asy...

The objective is to automatically identify trends in Fetal Medicine over the past 10 years through a bibliometric analysis of articles published in Prenatal Diagnosis, using text mining techniques. We processed 2,423 full-text articles published in Prenatal Diagnosis between 2006 and 2015. We extracted salient terms, calculated their frequencies over time, and established evolution profiles for...

VOS is a new mapping technique that can serve as an alternative to the wellknown technique of multidimensional scaling. We present an extensive comparison between the use of multidimensional scaling and the use of VOS for constructing bibliometric maps. In our theoretical analysis, we show the mathematical relation between the two techniques. In our experimental analysis, we use the techniques ...

In socio-economic sciences the RePEc network (Research Papers in Economics) has become an essential source for the gathering and the spread of both existing and new economic research. Furthermore, it is currently the largest bibliometric database in economic sciences containing 33 different indicators for more than 30,000 economists. Based on this bibliographic information RePEc calculates well...

Simple bibliometric indicators, such as average number of citations per publication per researcher, or the recently-proposed Hirsch index (h-index), are nowadays tracked by online repositories including Web-of-Science (WOS) and often affect critical decision making. This work proposes appropriate scaling of the h-index, based on its probability distribution which is calculated for any underlyin...

The analysis of bibliometric networks, such as co-authorship, bibliographic coupling, and co-citation networks, has received a considerable amount of attention. Much less attention has been paid to the construction of these networks. We point out that different approaches can be taken to construct a bibliometric network. Normally the full counting approach is used, but we propose an alternative...

The standard data that we use when computing bibliometric rankings of scientists are just their publication/citation records, i.e., so many papers with 0 citation, so many with 1 citation, so many with 2 citations, etc. The standard data for bibliometric rankings of departments have the same structure. It is therefore tempting (and many authors gave in to temptation) to use the same method for ...

This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to a pressing demand for the development of data metrics. As a very first step ...

Introduction Bibliometric indicators became a common tool for evaluating universities (Geuna & Martin, 2003). Furthermore, individual academics and researchers are also evaluated, promoted, and tenured based on their productivity, particularly the one visible in international databases such as the Web of Science (WoS). This methodology is widely accepted even in non-English speaking countries (...

Bibliometrics is the study of publications generated by scientific research. Despite its known limitations, bibliometrics can be of great use in the assessment of health sciences, ultimately contributing to better research planning. More than 30 years ago now, López Piñero and Terrada introduced the first bibliometric studies in Spain. Since then, interesting analyses have been conducted of Spa...