Teaching intellectual production of the math institute/ufgrs

Clicks: 254
ID: 41079
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #1 of 2 articles by views in informação & informação

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Introduction: The present study is a bibliometric research whose purpose is the evaluation of teaching production of the Statistics Department (DEST) and the Pure and Applied Math Department (DMPA) of the Math Institute (IM) of the Federal University of Rio Grande do Sul (UFRGS), concerning of the articles published only in web journals between 2007 and 2011. Objective: The specific goals of this study are: an individual analysis of productivity of the articles by author, a verification of the Qualis and the origin of the journal and an evaluation of the level of collaboration among authors and institutions. Methodology: It’s a study of bibliometrics with a qualitative approach using a questionnaire, and the answers were analyzed in the form of graphics, tables and others. Results: The results show 177 articles, and DEST (64,4%) has a bigger production than DMPA (35,6%). Most of the Qualis of the articles are B1 (27,11%), B2 (16,38%) e A2 (15,81%). Foreign journals (62%) appears more than Brazilian (38%). Conclusion: The study shows that IM/UFRGS teachers are part of an impressive academic network. There’s a good level of collaboration, most of the part with national institutions. The results also suggests new studies to find unanswered questions.
Reference Key
queiroz2017teachinginformaco Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Queiroz, Daniela Gralha de Caneda;Moura, Ana Maria Mielniczuk de;
Journal informação & informação
Year 2017
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.