The purpose of this study is to analyze the relationship between citation ranking and peer evaluation in assessing senior faculty research performance. Other studies typically derive their peer evaluation data directly from referees often in the form of ranking. This study uses two additional sources of peer evaluation data: citation content analysis and book review content analysis. Two main questions are investigated: (a) To what degree does citation ranking correlate with data from citation content analysis, book reviews, and peer ranking? (b) Is citation ranking a valid evaluative indicator of research performance of senior faculty members? Citation data, book reviews, and peer ranking were compiled and examined for faculty members specializing in Kurdish studies. Analysis shows that normalized citation ranking and citation content analysis data yield identical ranking results. Analysis also shows that normalized citation ranking and citation content analysis, book reviews, and peer ranking perform similarly (i.e., are highly correlated) for high-ranked and low-ranked senior scholars. Additional evaluation methods and measures that take into account the context and content of research appear to be needed to effectively evaluate senior scholars whose performance ranks relatively in the middle. Citation content analysis data did appear to give some specific and important insights into the quality of research of these middle performers, however, further analysis and research is needed to validate this finding. This study shows that citation ranking can provide a valid indicator for comparative evaluation of senior faculty research performance.

This is a submission to the 3rd Annual Social Informatics SIG Research Symposium: The Social Web, Social Computing and the Social Analysis of Computing. To date the no empirical research has been done to visualize the discipline of social informatics. This work presents the early stages of a domain analysis of social informatics in terms of its authors. The names of those most frequently cocited with Rob Kling from 1974 to 2007 were retrieved from Social Scisearch via Dialog. The top 48 authors were submitted to author cocitation analysis.

The present item comprises an amended (post-print) version of: D.A. Dervos and T. Kalkanis, cc-IFF: A Cascading Citations Impact Factor Framework for the Automatic Ranking of Research Publications, Third IEEE International Workshop on Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Proceedings pp. 668-673, Sofia, Bulgaria, September 5-7, 2005 / A new framework is proposed for the calculation of impact factor ratings of research publications. Given a collection of research articles, the corresponding citations graph is constructed in the form of a relational table. The impact value is considered at the article level, and is calculated by considering not only the citations made directly to an article, but also citations made to the corresponding citing article(s). In this respect, an improved algorithm is utilized, namely one that traverses all the threads in the citations graph, in an attempt to improve the degree of fairness in assigning credit for the impact value of each one article. When two articles have an equal number of (direct) citations, the one that has triggered more research activity (i.e. its citing articles attract a larger number of citations at subsequent levels in the citations graph) is assigned a higher impact value and, consequently, is ranked to be better.

We have mapped and evaluated diabetes research in India and China, based on papers published during 1990â 1999 and indexed in PubMed, Science Citation Index (SCI) and Biochemistry and Biophysics Citation Index (BBCI) and citations to each one of these papers up to 2000. We have identified institutions carrying out diabetes research, journals used to publish the results, subfields in which the two countries have published often, and the impact of the work as seen from actual citations to the papers. We have also assessed the extent of international collaboration in diabetes research in these two countries, based on papers indexed in SCI and BBCI. There is an enormous mismatch between the disease burden and the share of research performed in both countries. Although together these two countries account for 26% of the prevalence of diabetes, they contribute less than 2% of the worldâ s research. We argue that both India and China need to (i) strengthen their research capabilities in this area, (ii) increase investment in health-care research considerably, (iii) facilitate substantive international collaboration in research, and (iv) support cross-disciplinary research between basic life sciences researchers and medical researchers. As data such as those presented here should form the basis of health policy, India and China should encourage evaluation of research.

Correspondence on an article by Satyanarayana and Jain's which appeared in the same issue (but is not included here). Includes a rather lengthy rejoinder with supporting tables of data.

This is a short correspondence paper that tries to use citation analysis to compare research productivities in the sciences among different countries. It draws data from the Science Citation Index. It finds that over two decades the number of research papers has risen in other countries, but it has decreased in India.

This is a preprint of a paper published in Raghavan, K.S. and Prasad, K.N. (Editors). Assisted by S.K. Lalitha. Knowledge organization, information systems and other essays: Prof. A. Neelameghan festschrift. New Delhi: Ess Ess Publications for Ranganathan Centre for Information Studies, 2006. (pages 89 â 110). Abstract: Objective: The objective of this citation study is to understand the use and influence of the concept of â controlled vocabulariesâ in Geographic Information Science (GIS) as part of a larger goal to distinguish information science from information technology. Methods: Articles with pre-selected descriptors that represented the concept of â controlled vocabulariesâ within GIS were selected from GeoRef and validated in ISI indexes. Bibliographic coupling and content analysis of the article titles were used to draw clusters and understand the influence of the concept of controlled vocabularies in other discipline such as the geosciences. Results and Conclusion: The results from this analysis provide one perspective of the LIS sub-domain of â controlled vocabulariesâ as represented in GeoRef and used in the context of GIS research and scholarship. Findings are used to suggest future research directions to address issues related to better understanding of the concept of â controlled vocabulariesâ and the provision of knowledge organization tools that will promote interdisciplinary understanding. The creation of special, more-finely grained in-depth classifications and thesauri for the concept itself, namely, â controlled vocabularyâ is recommended.

India and China lead the world in the incidence of tuberculosis (TB), accounting for 23% and 17% respectively, of the global burden of the disease and hold the 15th and the 18th positions in terms of incidence per 100,000 population. But India accounts for only about 5â 6% of the worldâ s research output in this area and China a paltry 1% as seen from papers indexed in three international databases, viz. PubMed, Science Citation Index and Biochemistry and Biophysics Citation Index over the ten-year period 1990â 1999. Thus there is a tremendous mismatch between the share of the burden of the disease and share of research efforts. Is such mismatch acceptable? It raises the question â should resource-poor countries invest in research or should they depend on research performed elsewhere and invest their meagre resources predominantly in health-care measures?â We argue that both India and China should invest much more in research than they do. We have also mapped TB research in the two countries and identified institutions and cities active in research, journals used to publish the findings, use of high impact journals, impact of their research as seen from citations received and extent of international collaboration. Although China performs much less research than India and its work is quoted much less often, it seems to have done far better than India in health-care delivery in TB. Perhaps the Chinese are better able to translate know-how into do-how than the Indians.

Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xiii, 122 p.; also includes graphics (some col.). Includes bibliographical references (p. 118-122). Available online via OhioLINK's ETD Center

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