187,189 research outputs found

    Kl. Wenk, Gerichtsverfassung und Zivilprozess in Thailand

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    Kl. Wenk, Gerichtsverfassung und Zivilprozess in Thailand. In: Revue internationale de droit comparé. Vol. 13 N°3, Juillet-septembre 1961. p. 701

    Kl. Wenk, Gerichtsverfassung und Zivilprozess in Thailand

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    Kl. Wenk, Gerichtsverfassung und Zivilprozess in Thailand. In: Revue internationale de droit comparé. Vol. 13 N°3, Juillet-septembre 1961. p. 701

    Electron Microscopy in Mineralogy, Coordinating editor : H. R. Wenk, 1976

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    Willaime Christian. Electron Microscopy in Mineralogy, Coordinating editor : H. R. Wenk, 1976. In: Bulletin de la Société française de Minéralogie et de Cristallographie, volume 99, 4, 1976. p. 257

    Electron Microscopy in Mineralogy, Coordinating editor : H. R. Wenk, 1976

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    Willaime Christian. Electron Microscopy in Mineralogy, Coordinating editor : H. R. Wenk, 1976. In: Bulletin de la Société française de Minéralogie et de Cristallographie, volume 99, 4, 1976. p. 257

    67. Wenk (Wolfgang), Zur Sammlung der 38 Homilien des Chrysostomus Latinus mit der Edition der Nr 6,8,27,32 und 33

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    Nautin Pierre. 67. Wenk (Wolfgang), Zur Sammlung der 38 Homilien des Chrysostomus Latinus mit der Edition der Nr 6,8,27,32 und 33. In: Revue des Études Grecques, tome 102, fascicule 485-486, Janvier-juin 1989. p. 259

    Geodesic Fréchet Distance Inside a Simple Polygon

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    We unveil an alluring alternative to parametric search that applies to both the non-geodesic and geodesic Fr{'\e}chet optimization problems. This randomized approach is based on a variant of red-blue intersections and is appealing due to its elegance and practical efficiency when compared to parametric search. We present the first algorithm for the geodesic Fr{'\e}chet distance between two polygonal curves AA and BB inside a simple bounding polygon PP. The geodesic Fr{'\e}chet decision problem is solved almost as fast as its non-geodesic sibling and requires O(N^{2log k) time and O(k+N)O(k+N) space after O(k)O(k) preprocessing, where NN is the larger of the complexities of AA and BB and kk is the complexity of PP. The geodesic Fr{'\e}chet optimization problem is solved by a randomized approach in O(k+N^{2log kNlog N) expected time and O(k+N^{2) space. This runtime is only a logarithmic factor larger than the standard non-geodesic Fr{'\e}chet algorithm (Alt and Godau 1995). Results are also presented for the geodesic Fr{'\e}chet distance in a polygonal domain with obstacles and the geodesic Hausdorff distance for sets of points or sets of line segments inside a simple polygon PP

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    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

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt
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