186,216 research outputs found
sj-pptx-2-cmg-10.1177_26317745211047010 – Supplemental material for Evolving management of colorectal polyps
No full textSupplemental material, sj-pptx-2-cmg-10.1177_26317745211047010 for Evolving management of colorectal polyps by Yervant Ichkhanian, Tobias Zuchelli, Andrew Watson and Cyrus Piraka in Therapeutic Advances in Gastrointestinal Endoscopy</p
sj-pptx-3-cmg-10.1177_26317745211047010 – Supplemental material for Evolving management of colorectal polyps
No full textSupplemental material, sj-pptx-3-cmg-10.1177_26317745211047010 for Evolving management of colorectal polyps by Yervant Ichkhanian, Tobias Zuchelli, Andrew Watson and Cyrus Piraka in Therapeutic Advances in Gastrointestinal Endoscopy</p
sj-pptx-1-cmg-10.1177_26317745211047010 – Supplemental material for Evolving management of colorectal polyps
No full textSupplemental material, sj-pptx-1-cmg-10.1177_26317745211047010 for Evolving management of colorectal polyps by Yervant Ichkhanian, Tobias Zuchelli, Andrew Watson and Cyrus Piraka in Therapeutic Advances in Gastrointestinal Endoscopy</p
sj-pptx-4-cmg-10.1177_26317745211047010 – Supplemental material for Evolving management of colorectal polyps
No full textSupplemental material, sj-pptx-4-cmg-10.1177_26317745211047010 for Evolving management of colorectal polyps by Yervant Ichkhanian, Tobias Zuchelli, Andrew Watson and Cyrus Piraka in Therapeutic Advances in Gastrointestinal Endoscopy</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
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
C-Link: a hierarchical clustering approach to large-scale near-optimal coalition formation
No full textCoalition formation is a fundamental approach to multi-agent coordination. In this paper we address the specific problem of coalition structure generation, and focus on providing good-enough solutions using a novel heuristic approach that is based on data clustering methods. In particular, we propose a hierarchical agglomerative clustering approach (C-Link), which uses a similarity criterion between coalitions based on the gain that the system achieves if two coalitions merge. We empirically evaluate C-Link on a synthetic benchmark data-set as well as in collective energy purchasing settings. Our results show that the C-link approach performs very well against an optimal benchmark based on Mixed-Integer Programming, achieving solutions which are in the worst case about 80% of the optimal (in the synthetic data-set), and 98% of the optimal (in the energy data-set). Thus we show that C-Link can return solutions for problems involving thousands of agents within minutes
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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