190,324 research outputs found
Ernst Jenni, Studien zur Sprachwelt des Alten Testaments III. Herausgegeben von Hanna Jenni, Hans-Peter Mathys und Samuel Sarasin, Stuttgart, Kohlhammer, 2012
Hunziker-Rodewald Regine. Ernst Jenni, Studien zur Sprachwelt des Alten Testaments III. Herausgegeben von Hanna Jenni, Hans-Peter Mathys und Samuel Sarasin, Stuttgart, Kohlhammer, 2012. In: Revue d'histoire et de philosophie religieuses, 93e année n°3, Juillet-Septembre 2013. p. 423
Ernst Jenni, Studien zur Sprachwelt des Alten Testaments III. Herausgegeben von Hanna Jenni, Hans-Peter Mathys und Samuel Sarasin, Stuttgart, Kohlhammer, 2012
Hunziker-Rodewald Regine. Ernst Jenni, Studien zur Sprachwelt des Alten Testaments III. Herausgegeben von Hanna Jenni, Hans-Peter Mathys und Samuel Sarasin, Stuttgart, Kohlhammer, 2012. In: Revue d'histoire et de philosophie religieuses, 93e année n°3, Juillet-Septembre 2013. p. 423
Otto Pächt, Buchmalerei des Mittelalters : Eine Einführung, herausgegeben von Dagmar Thoss und Ulrike Jenni. München, Prestel, 1984, 222 p.
Burin Elisabeth. Otto Pächt, Buchmalerei des Mittelalters : Eine Einführung, herausgegeben von Dagmar Thoss und Ulrike Jenni. München, Prestel, 1984, 222 p.. In: Bulletin Monumental, tome 146, n°2, année 1988. pp. 169-170
TephraNZ- concept, updates, and future work
Presentation by Victoria University of Wellington Post-Doctoral Research Fellow Jenni Hopkins</p
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
31st January 2011 - OECD Secretary-General A. Gurría visiting the ATLAS underground experimental area with Former Collaboration Spokesperson P. Jenni.
CERN-HI-1101036 21. Former ATLAS Collaboration Spokesperson P. Jenni, Counsellor for Scientific Affairs S. Michalowski, Secretary General Chief of Staff G. Ramos, OECD Secretary-General A. Gurría, Relations with International Organisations M. Bona, Head of International Relations F. Pauss and Director M. Oborne, in the ATLAS cavern
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Reply_to_reviewers_IJMR_Luxury_paper – Supplemental material for Understanding consumer perceptions of luxury brands
Supplemental material, Reply_to_reviewers_IJMR_Luxury_paper for Understanding consumer perceptions of luxury brands by Jenni Romaniuk and Ava Huang in International Journal of Market Research</p
ATLAS Plenary meeting
16:30 Status of the ATLAS software (N.N) 17:00 Overview of the work programme for the coming months (T. Akesson) 17:30 Overview of the global budget handling (P. Schmid) - System reporting - budgets - Funding Agency contacts - RRB 18:00 TCM agenda/issues (H. Hoffmann) 18:15 Brief announcements (P. Jenni
Appropriate Similarity Measures for Author Cocitation Analysis
We 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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