136,360 research outputs found
Steve Schaefer
Athletics/Football, B/W takes, Posed action, Steve Schaefer Steve Schaefer jumps forward with his arms raised in front of his shoulders
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
Dispelling the Myths Behind First-author Citation Counts
We 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
Lung cancer screening: use the scan to decide who to scan when
Contains fulltext :
231282.pdf (Publisher’s version ) (Open Access)Radboud University, 06 april 2021Promotores : Schaefer-Prokop, C.M., Ginneken, B. van Co-promotor : Jacobs, C.303 p
FiFoSiM - an integrated tax benefit microsimulation and CGE model for Germany
This paper describes FiFoSiM, the integrated tax benefit microsimulation and computable general equilibrium (CGE) model of the Center of Public Economics at the University of Cologne. FiFoSiM consists of three main parts. The first part is a static tax benefit microsimulation module. The second part adds a behavioural component to the model; an econometrically estimated labour supply model. The third module is a CGE model which allows the user of FiFoSiM to assess the global economic effects of policy measures. Two specific features distinguish FiFoSiM from other tax benefit models: First, the simultaneous use of two databases for the tax benefit module and second, the linkage of the tax benefit model to a CGE model.FiFoSiM; microsimulation; CGE
Malignancy risk estimation of subsolid nodules
Contains fulltext :
191598.pdf (Publisher’s version ) (Open Access)Radboud University, 12 juni 2018Promotores : Ginneken, B. van, Schaefer-Prokop, C.M. Co-promotor : Jacobs, C
The Three-flavor chiral phase structure in hot and dense QCD matter
Schaefer B-J, Wagner M. The Three-flavor chiral phase structure in hot and dense QCD matter. Phys.Rev. D. 2009;79(1):014018
Advanced processing in chest radiography: impact on observer performance
Contains fulltext :
142565pub.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 10 september 2015Promotores : Karssemeijer, N., Ginneken, B. van Co-promotor : Schaefer-Prokop, C.M
Cyrtocoris egeris Packauskas & Schaefer 1998
Cyrtocoris egeris Packauskas & Schaefer, 1998 Examined material (n=1): Goiás. 1 ♀, Goiânia. Distribution. A—Amazonas and Pará. B—Alagoas, Espírito Santo, Goiás, Rio de Janeiro, São Paulo, Minas Gerais, Mato Grosso do Sul, Paraná and Santa Catarina. C—Mexico, Honduras, Costa Rica, Panama, Trindad, Venezuela, Ecuador, Bolivia and Argentina (Packauskas & Schaefer 1998; Grazia & Schwertner 2011; Firmino et al. 2017; Cambra et al. 2018).Published as part of Silva, Valeria Juliete Da, Santos, Cleverson Rannieri Meira Dos & Fernandes, Jose Antonio Marin, 2018, Stink bugs (Hemiptera: Pentatomidae) from Brazilian Amazon: checklist and new records, pp. 401-455 in Zootaxa 4425 (3) on pages 406-407, DOI: 10.11646/zootaxa.4425.3.1, http://zenodo.org/record/126751
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