186,864 research outputs found
Nilpotent Jacobians
No full textContains fulltext :
112500.pdf (Publisher’s version ) (Open Access)KUN, 11 november 1998Promotor : Levelt, A.H.M. Co-promotor : Essen, A.R.P. van den256 p
The Relationship Between Spoken Word Production and Comprehension
No full textContains fulltext :
56966.pdf (Publisher’s version ) (Open Access)0ntbrkt;RU Radboud Universiteit Nijmegen, 26 juni 2006Promotor : Levelt, W.J.M. Co-promotor : Roelofs, A.P.A.129 p
On the production of morphologically complex words with special attention to effects of frequency
No full textContains fulltext :
56450.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit Nijmegen, 27 november 2007Promotores : Baayen, R.H., Levelt, W.J.M.138 p
Rejoinder to commentary on the Stapel fraud report
No full textThe Levelt, Noort and Drenth Committees make their sole and final rejoinder to criticisms of their report on the Stapel frau
sj-docx-1-evi-10.1177_13563890221109620 – Supplemental material for Speaking truth to power: Exploring a Ministry’s evaluation department through evaluators’ and policymakers’ eyes
No full textSupplemental material, sj-docx-1-evi-10.1177_13563890221109620 for Speaking truth to power: Exploring a Ministry’s evaluation department through evaluators’ and policymakers’ eyes by Lotte Levelt and Nicky Pouw in Evaluation</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
sj-docx-1-tae-10.1177_20420188241229540 – Supplemental material for Role of epicardial adipose tissue in diabetic cardiomyopathy through the lens of cardiovascular magnetic resonance imaging – a narrative review
No full textSupplemental material, sj-docx-1-tae-10.1177_20420188241229540 for Role of epicardial adipose tissue in diabetic cardiomyopathy through the lens of cardiovascular magnetic resonance imaging – a narrative review by Sindhoora Kotha, Sven Plein, John P. Greenwood and Eylem Levelt in Therapeutic Advances in Endocrinology and Metabolism</p
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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