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	<title>Comments on: A new measure of a researcher&#8217;s impact</title>
	<atom:link href="http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/feed/" rel="self" type="application/rss+xml" />
	<link>http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/</link>
	<description>EBB is the ebiquity research group\\\'s blog at the University of Maryland, Baltimore County (UMBC).  We focus on technologies that facilitate the design, implementation and control of distributed, intelligent information systems -- mobile and pervasive computing, ad hoc networking, multiagent systems, knowledge representation and reasoning, and the semantic web.  As the tides of technology ebb and flow, we hope the good ideas wash up on our beach and the bad ones drift back out to sea.</description>
	<pubDate>Sun, 06 Jul 2008 13:57:51 +0000</pubDate>
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		<title>By: EBB: ebiquity blog at UMBC (mobile and pervasive computing, semantic web, intelligent agents) &#187; Using Google Scholar for citation counting and linking</title>
		<link>http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/#comment-14313</link>
		<dc:creator>EBB: ebiquity blog at UMBC (mobile and pervasive computing, semantic web, intelligent agents) &#187; Using Google Scholar for citation counting and linking</dc:creator>
		<pubDate>Mon, 23 Jan 2006 17:39:35 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=337#comment-14313</guid>
		<description>[...] We think GS is likely to be increasingly important in the academic/scholarly community. It&#8217;s a way to find papers, of course, but also helps judge their significance to the field as measured by the number of citations. Citation counting is the traditional way of measuring the impact of a paper. Using Google Scholar&#8217;s citations to measure impact has its problems, a topic we&#8217;ve posted on before and is also discussed in the bibliometric circles, but it&#8217;s free and convenient, a combination that&#8217;s hard to beat. (Writing this, I wonder if anyone has tried a recursive model like that used in pagerank to citation graphs. If not, this would be an interesting experiment to do). [...]</description>
		<content:encoded><![CDATA[<p>[...] We think GS is likely to be increasingly important in the academic/scholarly community. It&#8217;s a way to find papers, of course, but also helps judge their significance to the field as measured by the number of citations. Citation counting is the traditional way of measuring the impact of a paper. Using Google Scholar&#8217;s citations to measure impact has its problems, a topic we&#8217;ve posted on before and is also discussed in the bibliometric circles, but it&#8217;s free and convenient, a combination that&#8217;s hard to beat. (Writing this, I wonder if anyone has tried a recursive model like that used in pagerank to citation graphs. If not, this would be an interesting experiment to do). [...]</p>
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		<title>By: henricksen.id.au &#187; Blog Archive &#187; Halfway to associate professorship ;)</title>
		<link>http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/#comment-4970</link>
		<dc:creator>henricksen.id.au &#187; Blog Archive &#187; Halfway to associate professorship ;)</dc:creator>
		<pubDate>Thu, 08 Sep 2005 06:34:24 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=337#comment-4970</guid>
		<description>[...] I found this blog post on Tuesday which discusses an interesting way to measure research impact using Google scholar results. According to the measure, I should be halfway to an associate professorship!  What a pity that Google scholar&#8217;s citation counts are pretty much rubbish. Also, the assumption that the technique makes about Google scholar results being ordered by citation count does not hold (although perhaps there is an advanced search option to force this ordering - I haven&#8217;t checked). [...]</description>
		<content:encoded><![CDATA[<p>[...] I found this blog post on Tuesday which discusses an interesting way to measure research impact using Google scholar results. According to the measure, I should be halfway to an associate professorship!  What a pity that Google scholar&#8217;s citation counts are pretty much rubbish. Also, the assumption that the technique makes about Google scholar results being ordered by citation count does not hold (although perhaps there is an advanced search option to force this ordering - I haven&#8217;t checked). [...]</p>
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		<title>By: Jianshu's Blog</title>
		<link>http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/#comment-4489</link>
		<dc:creator>Jianshu's Blog</dc:creator>
		<pubDate>Thu, 01 Sep 2005 07:51:23 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=337#comment-4489</guid>
		<description>&lt;strong&gt;h-Index to measure the impact of researcher.&lt;/strong&gt;

Everyone agrees that the number of publication can be not the criterion to measure a researcher's contribution and impact.</description>
		<content:encoded><![CDATA[<p><strong>h-Index to measure the impact of researcher.</strong></p>
<p>Everyone agrees that the number of publication can be not the criterion to measure a researcher&#8217;s contribution and impact.</p>
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		<title>By: Tim Finin</title>
		<link>http://ebiquity.umbc.edu/blogger/2005/08/29/a-new-measure-of-a-researchers-impact/#comment-4394</link>
		<dc:creator>Tim Finin</dc:creator>
		<pubDate>Tue, 30 Aug 2005 17:59:46 +0000</pubDate>
		<guid isPermaLink="false">http://ebiquity.umbc.edu/blogger/?p=337#comment-4394</guid>
		<description>See an &lt;a href="http://www.nature.com/nature/journal/v436/n7053/full/436889b.html" rel="nofollow"&gt;editorial&lt;/a&gt; in Nature 436 (18 August 2005) on this idea.</description>
		<content:encoded><![CDATA[<p>See an <a href="http://www.nature.com/nature/journal/v436/n7053/full/436889b.html" rel="nofollow">editorial</a> in Nature 436 (18 August 2005) on this idea.</p>
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