{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:40:07Z","timestamp":1754156407162,"version":"3.41.2"},"reference-count":15,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2014,9,9]],"date-time":"2014-09-09T00:00:00Z","timestamp":1410220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,9,9]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences. One can hypothesise that, for the same conferences, the papers presented in oral sessions should have a higher research impact than the papers presented in poster sessions. However, there has been no related study examining the validity of this hypothesis. In other words, the difference of research impact between papers presented orally or during poster sessions has not been discussed in literature. Therefore, the purpose of this paper is to conduct a citation analysis to compare the research impact of papers presented in oral and poster sessions. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 In this paper, data from three leading conferences in the field of computer vision are examined, namely CVPR (2011 and 2012), ICCV (2011) and ECCV (2012). Several types of citation-related statistics are collected, including the number of highly cited papers (i.e. high number of citations) presented in oral and poster sessions, the total citations of both types of papers, the average citations of oral and poster papers, and the average citations of each frequently cited paper of both types. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 There are three main findings. First, a larger proportion of highly cited papers are from oral sessions than poster sessions. Second, the average number of citations per paper is larger for those presented in oral sessions than poster sessions. Third, the average number of citations for highly cited papers presented in oral sessions is not necessarily greater than for the ones presented in poster sessions. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The originality of this paper is that it is the first attempt to examine the differences of citation impacts of conference papers presented in oral and poster sessions. The findings of this study will allow future bibliometrics research to further explore this related issue for longer periods and different fields.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/oir-03-2014-0062","type":"journal-article","created":{"date-parts":[[2014,10,7]],"date-time":"2014-10-07T05:56:07Z","timestamp":1412661367000},"page":"738-745","source":"Crossref","is-referenced-by-count":6,"title":["Citation impact analysis of research papers that appear in oral and poster sessions"],"prefix":"10.1108","volume":"38","author":[{"given":"Shih-Wen","family":"Ke","sequence":"first","affiliation":[]},{"given":"Wei-Chao","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Chih-Fong","family":"Tsai","sequence":"additional","affiliation":[]},{"given":"Ya-Han","family":"Hu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020122901362166300_b1","doi-asserted-by":"crossref","unstructured":"Aguillo, I.F.\n                (2011), \u201cIs Google Scholar useful for bibliometrics? A webometric analysis\u201d, Scientometrics, Vol. 91 No. 2, pp. 343-351.","DOI":"10.1007\/s11192-011-0582-8"},{"key":"key2020122901362166300_b2","doi-asserted-by":"crossref","unstructured":"Amara, N.\n                and \n                  Landry, R.\n                (2012), \u201cCounting citations in the field of business and management: why use Google Scholar rather than the web of science\u201d, Scientometrics, Vol. 93 No. 3, pp. 553-581.","DOI":"10.1007\/s11192-012-0729-2"},{"key":"key2020122901362166300_b3","doi-asserted-by":"crossref","unstructured":"Bornmann, L.\n               , \n                  Stefaner, M.\n               , \n                  de Moya-Anegon, F.\n                and \n                  Mutz, R.\n                (2014), \u201cRanking and mapping of universities and research-focused institutions worldwide based on highly-cited paper\u201d, Online Information Review, Vol. 38 No. 1, pp. 43-58.","DOI":"10.1108\/OIR-12-2012-0214"},{"key":"key2020122901362166300_b4","unstructured":"Garfield, E.\n                (1983), Citation Indexing \u2013 Its Theory and Application in Science, Technology and Humanities, ISI Press, Philadelphia, PA."},{"key":"key2020122901362166300_b5","doi-asserted-by":"crossref","unstructured":"Haddow, G.\n                (2009), \u201cCitations to conference papers indicate they are declining in importance across all discipline areas\u201d, Evidence Based Library and Information Practice, Vol. 4 No. 2, pp. 164-167.","DOI":"10.18438\/B8K904"},{"key":"key2020122901362166300_b6","doi-asserted-by":"crossref","unstructured":"Harzing, A.-W.K.\n                and \n                  Van der Wal, R.\n                (2008), \u201cGoogle Scholar as a new source for citation analysis\u201d, Ethics in Science and Environmental Politics, Vol. 8 No. 1, pp. 61-73.","DOI":"10.3354\/esep00076"},{"key":"key2020122901362166300_b7","doi-asserted-by":"crossref","unstructured":"Hirsch, J.E.\n                (2005), \u201cAn index to quantify an individual\u2019s scientific research output\u201d, Proceedings of the National Academy of Sciences, Vol. 102 No. 46, pp. 16569-16572.","DOI":"10.1073\/pnas.0507655102"},{"key":"key2020122901362166300_b9","doi-asserted-by":"crossref","unstructured":"Jacs\u00f3, P.\n                (2010), \u201cMetadata mega mess in Google Scholar\u201d, Online Information Review, Vol. 34 No. 1, pp. 175-191.","DOI":"10.1108\/14684521011024191"},{"key":"key2020122901362166300_b8","unstructured":"Janakiramaiah, M.\n                and \n                  Doraswamy, M.\n                (2011), \u201cMeasuring impact of web resources in conference proceedings: a citation analysis\u201d, International Convention on Automation of Libraries in Education and Research Institutions, Goa, 2-4 March."},{"key":"key2020122901362166300_b10","doi-asserted-by":"crossref","unstructured":"Lisee, C.\n               , \n                  Lariviere, V.\n                and \n                  Archambault, E.\n                (2008), \u201cConference proceedings as a source of scientific information: a bibliometric analysis\u201d, Journal of the American Society for Information Science and Technology, Vol. 59 No. 11, pp. 1776-1784.","DOI":"10.1002\/asi.20888"},{"key":"key2020122901362166300_b11","doi-asserted-by":"crossref","unstructured":"Moussa, S.\n                and \n                  Touzani, M.\n                (2010), \u201cRanking marketing journals using the Google Scholar-based hg-index\u201d, Journal of Informetrics, Vol. 4 No. 1, pp. 107-117.","DOI":"10.1016\/j.joi.2009.10.001"},{"key":"key2020122901362166300_b12","doi-asserted-by":"crossref","unstructured":"Plotnikova, T.\n                and \n                  Rake, B.\n                (2014), \u201cCollaboration in pharmaceutical research: exploration of country-level determinants\u201d, Scientometrics, Vol. 98 No. 2, pp. 1173-1202.","DOI":"10.1007\/s11192-013-1182-6"},{"key":"key2020122901362166300_b13","doi-asserted-by":"crossref","unstructured":"Rahm, E.\n                and \n                  Thor, A.\n                (2005), \u201cCitation analysis of database publications\u201d, SIGMOD Record, Vol. 34 No. 4, pp. 48-53.","DOI":"10.1145\/1107499.1107505"},{"key":"key2020122901362166300_b14","unstructured":"Rubin, R.\n                (2010), Foundations of Library and Information Science, 3rd ed., Neal-Schuman Publishers, New York, NY."},{"key":"key2020122901362166300_b15","doi-asserted-by":"crossref","unstructured":"Serenko, A.\n                (2010), \u201cThe development of an AI journal ranking based on the revealed preference approach\u201d, Journal of Informetrics, Vol. 4 No. 4, pp. 447-459.","DOI":"10.1016\/j.joi.2010.04.001"}],"container-title":["Online Information 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Stuart","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2014,9,9]]},"references-count":15,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2014,9,9]]}},"alternative-id":["10.1108\/OIR-03-2014-0062"],"URL":"https:\/\/doi.org\/10.1108\/oir-03-2014-0062","relation":{},"ISSN":["1468-4527"],"issn-type":[{"type":"print","value":"1468-4527"}],"subject":[],"published":{"date-parts":[[2014,9,9]]}}}