558,314 research outputs found
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
William B. Walton, Sr.
A monochrome portrait of William B. Walton, Sr. as a small child. He rests his right hand on an ornate wooden chair. Walton is in a formal dress with dark-colored boots. The backdrop is plain
William B. Walton, Sr.
A monochrome portrait of William B. Walton, Sr. as a small child. He rests his right hand on an ornate wooden chair. Walton is in a formal dress with dark-colored boots. The backdrop is plain
'Synthetic' Large Scale Motions Organize Small Scale Motions in the Turbulent Boundary Layer
The relationship between large- and small-scale motions in a non-equilibrium turbulent boundary layer was studied experimentally. A zero-pressure-gradient flat plate turbulent boundary layer was perturbed by a short array of two-dimensional roughness elements, both statically and under dynamic actuation. The dynamic forcing generated a `synthetic' very-large-scale motion (VLSM) within the flow which was observed by phase-locked flow measurements. The phase-relationship between both synthetic and natural VLSMs and the small scale motions within the boundary layer was studied by cross-correlation and cospectral techniques, to reveal an organizing effect of the artificial VLSM on smaller scales
Small and medium-size enterprises in economic development : possiblities for research and policy
The World Bank's most important long-term advantage in promoting development, says the author, may lie in opportunities to address related obstacles simultaneously. It could mount concurrent efforts to address the problems of small and medium-size enterprises in a particular sector, region, or economy, for example. It could address the conditions of founding new firms, providing finance or technical assistance, developing mutual support institutions, resolving disputes, and perhaps reducing counterproductive government interventions. Were the Bank to follow such a coordinated approach, programs could be designed to generate data to illuminate the impacts and interactions of various elements of policy. These data could be exploited, then, in research designs, or even the design of management information systems, shaped by program evaluation. The author proposes four general issues for research (plus a series of topics for each issue). (1) Can Bank initiatives involving small and medium-size enterprises in developing countries facilitate the entry of these enterprises into similar learning relationships with other firms - foreign firms, larger firms in their own countries, or each other? (2) The economic significance of high"turbulence"(entry and exit rates) in small-firm populations is poorly understood. The fact of high turbulence is well-documented in industrial countries; it is not for developing countries, but available data suggest a broadly similar pattern. Are high failure rates for small businesses symptomatic of an important shortcoming in the system of economic organization itself? Or should the unit of analysis be the enterprise, the entrepreneur, or the entrepreneur's family? (3) Is the apparent trend favoring a larger economic role for smaller production units autonomous rather than induced by other changes? Does it depend on general operating factors such as the declining costs of communication and computation? (4) The rate of learning by a small firm may depend on the nature of its transacting partner. Certain multinational enterprises make good teachers, for example, but certain local labor markets or markets for consumer goods and services may not be well-positioned for relevant learning. They may learn well how to adjust to local circumstances but not to the international diffusion of technology and ways of organizing (the main source of hope for developing countries). Perhaps Bank policy should be more concerned with transaction patterns.General Technology,Environmental Economics&Policies,Decentralization,ICT Policy and Strategies,Small and Medium Size Enterprises,Environmental Economics&Policies,General Technology,Small and Medium Size Enterprises,ICT Policy and Strategies,Small Scale Enterprise
Temperature small scales statistics in turbulent convective tilted channel flow
We report here the small scales statistics of velocity en temperature in a turbulent convective flow : a channel connecting two chambers. This flow, differently from Rayleigh-Bénard, is independent from the thermal boundary layers and can be influenced by stratification if tilted. The probability distribution functions of the temperature and velocity are gaussian while the temperature power spectra exhibit a Bolgiano-Obukov scaling at all angles
Q-measures for binary divided networks: an investigation within the field of informetrics
Q-measures for binary divided networks, as introduced by Flom, Friedman, Strauss and Neaigus are studied. These measures try to capture the idea of bridges between two groups in a connected undirected network. Values for these measures are calculated for building blocks such as line and star networks. As an application two small co-author networks are analyzed
William B. Walton house
A mounted photograph of William B. Walton's house on Dixie Line Road
William B. Walton house
A mounted photograph of William B. Walton's house on Dixie Line Road
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