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  1. Article: Bibliometric method for mapping the state of the art of scientific production in Covid-19.

    Mohadab, Mohamed El / Bouikhalene, Belaid / Safi, Said

    Chaos, solitons, and fractals

    2020  Volume 139, Page(s) 110052

    Abstract: Global scientific production around the Covid-19 pandemic, in the various disciplines on the various international scientific bibliographic databases, has grown exponentially. The latter builds a source of scientific enrichment and an important lever for ...

    Abstract Global scientific production around the Covid-19 pandemic, in the various disciplines on the various international scientific bibliographic databases, has grown exponentially. The latter builds a source of scientific enrichment and an important lever for most researchers around the world, each of its field and its position with an ultimate aim of overcoming this pandemic. In this direction, bibliometric data constitute a fundamental source in the process of evaluation of scientific production in the academic world; bibliometrics provides researchers and institutions with crucial strategic information for the enhancement of their research results with the local and international scientific community, especially in this international pandemic.
    Keywords covid19
    Language English
    Publishing date 2020-06-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2003919-0
    ISSN 1873-2887 ; 0960-0779
    ISSN (online) 1873-2887
    ISSN 0960-0779
    DOI 10.1016/j.chaos.2020.110052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Automatic CV processing for scientific research using data mining algorithm

    Mohamed El Mohadab / Belaid Bouikhalene / Said Safi

    Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 5, Pp 561-

    2020  Volume 567

    Abstract: To manage and measure the performance of scientific research at the university, managers or policymakers need synthetic indicators that are cleverly grouped in several indicators which aim to offer to the leaders the necessary tools, so as to improve ... ...

    Abstract To manage and measure the performance of scientific research at the university, managers or policymakers need synthetic indicators that are cleverly grouped in several indicators which aim to offer to the leaders the necessary tools, so as to improve scientific research. The governance of information system has posed a serious challenge for the leadership of universities especially through the use of decision aid. In order to improve the information system, especially scientific research, a study of automatizing curriculum vitae for researchers of different disciplines belonging to various research laboratories is discussed in this paper. The use of natural language processing with data mining classifier Decision Tree is presented in order to predict the field of work of each researcher. The choice of Decision Tree classifier among One Rule classifier and Naive Bayes classifier is not arbitrary; it is chosen by comparing performance metrics- such as Precision, Recall, F-measure, Correctly Classify Instance, Incorrectly Classify Instance, Kappa Statistic, Root Mean Squad Error, Relative Absolute Error, and Root Relative Squad Error.
    Keywords Scientific research ; Natural language processing ; Data mining ; Decision aid ; CV processing ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 001 ; 006
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Bibliometric method for mapping the state of the art of scientific production in Covid-19

    Mohadab, Mohamed El / Bouikhalene, Belaid / Safi, Said

    Chaos, Solitons & Fractals

    2020  Volume 139, Page(s) 110052

    Keywords General Mathematics ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2003919-0
    ISSN 1873-2887 ; 0960-0779
    ISSN (online) 1873-2887
    ISSN 0960-0779
    DOI 10.1016/j.chaos.2020.110052
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article: Bibliometric method for mapping the state of the art of scientific production in Covid-19

    Mohadab, Mohamed El / Bouikhalene, Belaid / Safi, Said

    Chaos Solitons Fractals

    Abstract: Global scientific production around the Covid-19 pandemic, in the various disciplines on the various international scientific bibliographic databases, has grown exponentially. The latter builds a source of scientific enrichment and an important lever for ...

    Abstract Global scientific production around the Covid-19 pandemic, in the various disciplines on the various international scientific bibliographic databases, has grown exponentially. The latter builds a source of scientific enrichment and an important lever for most researchers around the world, each of its field and its position with an ultimate aim of overcoming this pandemic. In this direction, bibliometric data constitute a fundamental source in the process of evaluation of scientific production in the academic world; bibliometrics provides researchers and institutions with crucial strategic information for the enhancement of their research results with the local and international scientific community, especially in this international pandemic.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #622080
    Database COVID19

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