scispace - formally typeset
E

Ed C. M. Noyons

Researcher at Leiden University

Publications -  58
Citations -  3519

Ed C. M. Noyons is an academic researcher from Leiden University. The author has contributed to research in topics: Bibliometrics & Science policy. The author has an hindex of 19, co-authored 54 publications receiving 2779 citations.

Papers
More filters
Journal ArticleDOI

A unified approach to mapping and clustering of bibliometric networks

TL;DR: In this paper, a unified approach to mapping and clustering of bibliometric networks is proposed, where the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle.
Journal ArticleDOI

The Leiden ranking 2011/2012: Data collection, indicators, and interpretation

TL;DR: The Leiden Ranking 2011/2012 as discussed by the authors is a ranking of universities based on bibliometric indicators of publication output, citation impact, and scientific collaboration, which includes 500 major universities from 41 different countries.
Posted Content

The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation

TL;DR: The Leiden Ranking is compared with other global university rankings, in particular the Academic Ranking of World Universities (commonly known as the Shanghai Ranking) and the Times Higher Education World University Rankings, and the comparison focuses on the methodological choices underlying the different rankings.
Journal ArticleDOI

Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study

TL;DR: The combined method is applied in an evaluation of the research scope and performance of the Inter‐university Centre for Micro‐Electronics (IMEC) in Leuven, Belgium and it is found that the results of each of the two parts are an added value to the other.
Journal ArticleDOI

Automatic term identification for bibliometric mapping.

TL;DR: This paper proposed a methodology for automatic term identification and used this methodology to select the terms to be included in a term map, which is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field.