%0 Journal Article %1 feitelson2004predictive %A Feitelson, Dror G %A Yovel, Uri %D 2004 %J Journal of Documentation %K citeseer computer data prediction ranking scientists %P 44-61 %T Predictive ranking of computer scientists using CiteSeer data %U http://search.ebscohost.com/login.aspx?direct=true&db=lxh&AN=13089336&site=ehost-live %V 60 %X The increasing availability of digital libraries with cross-citation data on the Internet enables new studies in bibliometrics. The paper focuses on the list of 10,000 top-cited authors in computer science available as part of CiteSeer. Using data from several consecutive lists a model of how authors accrue citations with time is constructed. By comparing the rate at which individual authors accrue citations with the average rate, predictions are made of how their ranking in the list will change in the future. ABSTRACT FROM AUTHOR Copyright of Journal of Documentation is the property of Emerald and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts) The increasing availability of digital libraries with cross-citation data on the Internet enables new studies in bibliometrics. The paper focuses on the list of 10,000 top-cited authors in computer science available as part of CiteSeer. Using data from several consecutive lists a model of how authors accrue citations with time is constructed. By comparing the rate at which individual authors accrue citations with the average rate, predictions are made of how their ranking in the list will change in the future. ABSTRACT FROM AUTHOR Copyright of Journal of Documentation is the property of Emerald and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts)

@article{feitelson2004predictive, abstract = {The increasing availability of digital libraries with cross-citation data on the Internet enables new studies in bibliometrics. The paper focuses on the list of 10,000 top-cited authors in computer science available as part of CiteSeer. Using data from several consecutive lists a model of how authors accrue citations with time is constructed. By comparing the rate at which individual authors accrue citations with the average rate, predictions are made of how their ranking in the list will change in the future. ABSTRACT FROM AUTHOR Copyright of Journal of Documentation is the property of Emerald and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts) The increasing availability of digital libraries with cross-citation data on the Internet enables new studies in bibliometrics. The paper focuses on the list of 10,000 top-cited authors in computer science available as part of CiteSeer. Using data from several consecutive lists a model of how authors accrue citations with time is constructed. By comparing the rate at which individual authors accrue citations with the average rate, predictions are made of how their ranking in the list will change in the future. ABSTRACT FROM AUTHOR Copyright of Journal of Documentation is the property of Emerald and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts)}, added-at = {2012-06-10T16:52:11.000+0200}, author = {Feitelson, Dror G and Yovel, Uri}, biburl = {https://www.bibsonomy.org/bibtex/27d00dfdd726319fc7ea3e38df766708e/nosebrain}, interhash = {9e3b78c207029cd7f3f89c2f9793d4f6}, intrahash = {7d00dfdd726319fc7ea3e38df766708e}, journal = {Journal of Documentation}, keywords = {citeseer computer data prediction ranking scientists}, pages = {44-61}, timestamp = {2012-06-10T16:52:11.000+0200}, title = {Predictive ranking of computer scientists using CiteSeer data}, url = {http://search.ebscohost.com/login.aspx?direct=true\&db=lxh\&AN=13089336\&site=ehost-live }, volume = 60, year = 2004 }