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    <link>http://nopr.niscpr.res.in/handle/123456789/51956</link>
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    <pubDate>Sat, 10 Oct 2026 23:49:44 GMT</pubDate>
    <dc:date>2026-10-10T23:49:44Z</dc:date>
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      <title>Global nuclear fuel research during 2000 to 2017: A scientometric analysis</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/51961</link>
      <description>Title: Global nuclear fuel research during 2000 to 2017: A scientometric analysis
Authors: Sudarsana, D.; Baba, M. Sai
Abstract: A scientometric analysis of global nuclear fuel research has been carried out for the years from 2000 to 2017 based on various scientometric indicators such as: publication output, prolific authors, collaboration networks of authors, productive institutions involved, the hot research topics and the citation pattern. A total of 7,402 bibliographic records from the Web of Science core collection database were taken as a data source and analyzed using CiteSpace and VOSviewer software. The analysis indicated that half of the publications (4166; 56%) were published in during 2011 to 2017 and the year 2017 had the highest number of publications (679; 9%) and the most significant developments in nuclear fuel research is from USA, France, South Korea and Germany. A significant contribution has been made from Korea Atomic Energy Research Institute. Keywords analysis indicated that, spent nuclear fuel, uranium, spent fuel and plutonium are commonly used.
Page(s): 85-93</description>
      <pubDate>Sun, 01 Sep 2019 00:00:00 GMT</pubDate>
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      <dc:date>2019-09-01T00:00:00Z</dc:date>
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    <item>
      <title>Assessing grey literature use by researchers of Council for Scientific and Industrial Research (CSIR), India</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/51960</link>
      <description>Title: Assessing grey literature use by researchers of Council for Scientific and Industrial Research (CSIR), India
Authors: Shivaram, B.S.; Biradar, B.S.
Abstract: The present study on the use of both external and internal grey literature by CSIR researchers shows that technical reports are most used followed by doctoral theses. It was found that engineering and physical sciences laboratories use more internal grey literature than chemical and biological sciences laboratories. These and other findings help is framing content development policy for technical grey literature, framing policies for internal grey literature archiving, designing digital repository framework to archive internally generated grey literature and improve access and devise ways to enhance their visibility and use.
Page(s): 94-100</description>
      <pubDate>Sun, 01 Sep 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/51960</guid>
      <dc:date>2019-09-01T00:00:00Z</dc:date>
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    <item>
      <title>Information practices: the relevance of the concept to information user studies</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/51959</link>
      <description>Title: Information practices: the relevance of the concept to information user studies
Authors: Araújo, Carlos Alberto Ávila
Abstract: The concept of information practices and the recent perspective of studies on information users are discussed. &#xD;
A framework of the human and social sciences from where the concept originated is presented. The history of the studies of information users with the notions of "use studies" and "information behavior", show that the approach of information practices differs. Finally, some recent studies in informational practices are described and discussed.
Page(s): 101-109</description>
      <pubDate>Sun, 01 Sep 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/51959</guid>
      <dc:date>2019-09-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Document clustering for knowledge synthesis and project portfolio funding decision in R&amp;D organizations</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/51958</link>
      <description>Title: Document clustering for knowledge synthesis and project portfolio funding decision in R&amp;D organizations
Authors: Kumar, Abhishek; Kumar, Naresh; Gupta, Richa
Abstract: The paper discusses a method of using document clustering for information/knowledge synthesis and decision facilitation in R&amp;D organisations. The emerging methodologies of machine learning, artificial intelligence and data science in conjunction with fuzzy mathematics can be optimally exploited to catalyse development of information bank for research organisations. This knowledge ecosystem can be utilized by the proposed mechanism to accelerate and reinforce interdisciplinary research for R&amp;D organisations and empower them to make efficacious information-driven decisions related to project portfolio selection and proposal funding.
Page(s): 110-116</description>
      <pubDate>Sun, 01 Sep 2019 00:00:00 GMT</pubDate>
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      <dc:date>2019-09-01T00:00:00Z</dc:date>
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