Bibliometric analysis of CiteSeer data for countries
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43898685" target="_blank" >RIV/49777513:23520/12:43898685 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.ipm.2011.10.001" target="_blank" >http://dx.doi.org/10.1016/j.ipm.2011.10.001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ipm.2011.10.001" target="_blank" >10.1016/j.ipm.2011.10.001</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Bibliometric analysis of CiteSeer data for countries
Popis výsledku v původním jazyce
This article describes the results of our analysis of the data from the CiteSeer digital library. First, we examined the data from the point of view of source top-level Internet domains from which the data were collected. Second, we measured country shares in publications indexed by CiteSeer and compared them to those based on mainstream bibliographic data from the Web of Science and Scopus. And third, we concentrated on analyzing publications and their citations aggregated by countries. This way, we generated rankings of the most influential countries in computer science using several non-recursive as well as recursive methods such as citation counts or PageRank. We conclude that even if East Asian countries are underrepresented in CiteSeer, its datamay well be used along with other conventional bibliographic databases for comparing the computer science research productivity and performance of countries.
Název v anglickém jazyce
Bibliometric analysis of CiteSeer data for countries
Popis výsledku anglicky
This article describes the results of our analysis of the data from the CiteSeer digital library. First, we examined the data from the point of view of source top-level Internet domains from which the data were collected. Second, we measured country shares in publications indexed by CiteSeer and compared them to those based on mainstream bibliographic data from the Web of Science and Scopus. And third, we concentrated on analyzing publications and their citations aggregated by countries. This way, we generated rankings of the most influential countries in computer science using several non-recursive as well as recursive methods such as citation counts or PageRank. We conclude that even if East Asian countries are underrepresented in CiteSeer, its datamay well be used along with other conventional bibliographic databases for comparing the computer science research productivity and performance of countries.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - Nové technologie pro informační společnost</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Information Processing and Management
ISSN
0306-4573
e-ISSN
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Svazek periodika
48
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
242-253
Kód UT WoS článku
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EID výsledku v databázi Scopus
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