305,581 research outputs found
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
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
Bjarne Thorup Thomsen, Lagerlöfs litterære landvinding. Nation og mobilitet i Nils Holgersson og tilgrænsende tekster
No full textPresentazione e analisi dello studio di Thorup Thomsen, che legge il capolavoro di Selma Lagerlöf "Il viaggio meraviglioso di Nils Holgersson attraverso la Svezia" alla luce delle teorie che vedono nel romanzo un potente strumento di costruzione dell'identità nazionale moderna
Studio delle interazioni radicali in consociazioni tra specie leguminose e non-leguminose in rizotrone
No full textLo studio delle interazioni radicali tra piante è uno degli argomenti di ricerca che riscuote ultimamente maggiore interesse. Oltre al dibattito metodologico, lo studio delle interazioni radicali tra specie leguminose e non leguminose in consociazione è tra gli argomenti di maggiore interesse.
In uno studio metodologico in ambiente protetto 3 specie (Favino, Trifoglio e Bietola rossa) sono state coltivate in tubi-rizotrone (densità pari a 2 piante per rizotrone) al fine di studiare la crescita degli apparati radicali di ciascuna specie sia in purezza che in consociazione nello strato più superficiale del suolo (0-0.5m). La bietola rossa è stata adottata poiché, grazie alla colorazione rosso vivo del suo apparato radicale, rende possibile la distinzione delle sue radici rispetto a quelle della specie leguminosa a lei consociata. L'intensità radicale (incroci cm-1) e alcuni tra i più diffusi indici di competizione sono stati calcolati per valutare la risposta delle specie alla competizione intra e inter-specifica a livello radicale.
Dai risultati ottenuti è possibile osservare come la crescita delle radici nelle tre specie sia molto differente, così come la risposta competitiva in funzione della specie vicina. Caratteristiche come la rapidità di sviluppo e l'architettura dell'apparato radicale rivestono un ruolo fondamentale nella competizione
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
Fully Dynamic Min-Cut of Superconstant Size in Subpolynomial Time
No full textWe present a deterministic fully dynamic algorithm with subpolynomial
worst-case time per graph update such that after processing each update of the
graph, the algorithm outputs a minimum cut of the graph if the graph has a cut
of size at most for some . Previously, the best update
time was for any and [Thorup,
Combinatorica'07].Comment: SODA 202
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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