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45
Turning the tables in citation analysis one more time: Principles for comparing sets of documents
- J. Am. Soc. Inf. Sci. Technol
"... We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are—as a rule— highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its ..."
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Cited by 26 (16 self)
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We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are—as a rule— highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation dis-tribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven princi-pal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset.We demonstrate that the proposed family indica-tors [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages-based indicators because one can account for the shape of the distributions of citations over papers.
Toward a consensus map of science
- Journal of the American Society for Information Science and Technology
, 2009
"... A consensus map of science is generated from an analy-sis of 20 existing maps of science. These 20 maps occur in three basic forms: hierarchical, centric, and noncentric (or circular). The consensus map, generated from con-sensus edges that occur in at least half of the input maps, emerges in a circ ..."
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Cited by 22 (1 self)
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A consensus map of science is generated from an analy-sis of 20 existing maps of science. These 20 maps occur in three basic forms: hierarchical, centric, and noncentric (or circular). The consensus map, generated from con-sensus edges that occur in at least half of the input maps, emerges in a circular form. The ordering of areas is as follows: mathematics is (arbitrarily) placed at the top of the circle, and is followed clockwise by physics, physical chemistry, engineering, chemistry, earth sciences, biol-ogy, biochemistry, infectious diseases, medicine, health services, brain research, psychology, humanities, social sciences, and computer science. The link between com-puter science and mathematics completes the circle. If the lowest weighted edges are pruned from this con-sensus circular map, a hierarchical map stretching from mathematics to social sciences results.The circular map of science is found to have a high level of correspon-dence with the 20 existing maps, and has a variety of advantages over hierarchical and centric forms. A one-dimensional Riemannian version of the consensus map is also proposed.
return The Delineation of an Interdisciplinary Specialty in terms of a Journal Set: The Case of Communication Studies Journal of the American Society for Information Science & Technology (forthcoming)
"... A journal set in an interdisciplinary or newly developing area can be determined by including the journals classified under the most relevant ISI Subject Categories into a journal-journal citation matrix. Despite the fuzzy character of borders, factor analysis of the citation patterns enables us to ..."
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Cited by 10 (5 self)
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A journal set in an interdisciplinary or newly developing area can be determined by including the journals classified under the most relevant ISI Subject Categories into a journal-journal citation matrix. Despite the fuzzy character of borders, factor analysis of the citation patterns enables us to delineate the specific set by discarding the noise. This methodology is illustrated using communication studies as a hybrid development between political science and social psychology. The development can be visualized using animations which support the claim that a specific journal set in communication studies is increasingly developing, notably in the “being cited ” patterns. The resulting set of 28 journals in communication studies is smaller and more focused than the 45 journals classified by the ISI Subject Categories as “Communication. ” The proposed method is tested for its robustness by extending the relevant environments to sets including many more journals.
Journal influence factors ✩
"... We performed a thorough comparison of four main indicators of journal influence, namely 2-year impact factor, 5-year impact factor, eigenfactor and article influence. These indicators have been recently added by Thomson Reuters to the Journal Citation Reports, in both science and social science edit ..."
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Cited by 9 (0 self)
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We performed a thorough comparison of four main indicators of journal influence, namely 2-year impact factor, 5-year impact factor, eigenfactor and article influence. These indicators have been recently added by Thomson Reuters to the Journal Citation Reports, in both science and social science editions, and are thus available for study and comparison over a sample of significative size. We find that the distribution associated with the eigenfactor largely differs from the distribution of the other surveyed measures in terms of deviation from the mean, concentration, entropy, and skewness. Moreover, it is the one that best fits to the lognormal theoretical model. Surprisingly, the eigenfactor is also the most variable indicator when computed across different fields of science and social science, while article influence is the most stable in this respect, and hence the most suitable metric to be used interdisciplinarily. Finally, the journal rankings provided by impact factors and article influence are relatively similar and diverge from the one produced by eigenfactor, which is closer to that given by the total number of received citations.
Weighted Hybrid Clustering by Combining Text Mining and Bibliometrics on a Large-Scale Journal Database
, 2009
"... We propose a new hybrid clustering framework to incor-porate text mining with bibliometrics in journal set anal-ysis.The framework integrates two different approaches: clustering ensemble and kernel-fusion clustering. To improve the flexibility and the efficiency of process-ing large-scale data, we ..."
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Cited by 7 (2 self)
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We propose a new hybrid clustering framework to incor-porate text mining with bibliometrics in journal set anal-ysis.The framework integrates two different approaches: clustering ensemble and kernel-fusion clustering. To improve the flexibility and the efficiency of process-ing large-scale data, we propose an information-based weighting scheme to leverage the effect of multiple data sources in hybrid clustering. Three different algorithms are extended by the proposed weighting scheme and they are employed on a large journal set retrieved from the Web of Science (WoS) database. The clustering per-formance of the proposed algorithms is systematically evaluated using multiple evaluation methods, and they were cross-compared with alternative methods. Experi-mental results demonstrate that the proposed weighted hybrid clustering strategy is superior to other meth-ods in clustering performance and efficiency. The pro-posed approach also provides a more refined structural mapping of journal sets, which is useful for monitoring and detecting new trends in different scientific fields.
Patent Classifications as Indicators of Intellectual Organization
- JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE & TECHNOLOGY (FORTHCOMING)
"... Using the 138,751 patents filed in 2006 under the Patent Cooperation Treaty, co-classification analysis is pursued on the basis of three- and four-digit codes in the International Patent Classification (IPC, 8 th edition). The co-classifications among the patents enable us to analyze and visualize t ..."
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Cited by 6 (4 self)
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Using the 138,751 patents filed in 2006 under the Patent Cooperation Treaty, co-classification analysis is pursued on the basis of three- and four-digit codes in the International Patent Classification (IPC, 8 th edition). The co-classifications among the patents enable us to analyze and visualize the relations among technologies at different levels of aggregation. The hypothesis that classifications might be considered as the organizers of patents into classes, and that therefore co-classification patterns—more than co-citation patterns—might be useful for mapping, is not corroborated. The classifications hang weakly together, even at the four-digit level; at the country level, more specificity can be made visible. However, countries are not the appropriate units of analysis because patent portfolios are largely similar in many advanced countries in terms of the classes attributed. Instead of classes, one may wish to explore the mapping of title words as a better approach to visualize the intellectual organization of patents.
Which cities produce more excellent papers than can be expected? A new mapping approach—using Google maps—based on statistical significance testing
- Journal of the American Society of Information Science and Technology
, 2011
"... The methods presented in this paper allow for a statistical analysis revealing centers of excellence around the world using programs that are freely available. Based onWeb of Science data (a fee-based database), field-specific excel-lence can be identified in cities where highly cited papers were pu ..."
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Cited by 5 (2 self)
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The methods presented in this paper allow for a statistical analysis revealing centers of excellence around the world using programs that are freely available. Based onWeb of Science data (a fee-based database), field-specific excel-lence can be identified in cities where highly cited papers were published more frequently than can be expected. Compared to the mapping approaches published hith-erto, our approach is more analytically oriented by allow-ing the assessment of an observed number of excellent papers for a city against the expected number. Top per-formers in output are cities in which authors are located who publish a statistically significant higher number of highly cited papers than can be expected for these cities. As sample data for physics, chemistry, and psychology show, these cities do not necessarily have a high output of highly cited papers.
Yoghurt-Science and Technology
, 1985
"... douglas kr robinson lu huang ying guo alan l porter ..."
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Cited by 3 (0 self)
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douglas kr robinson lu huang ying guo alan l porter
Patent Overlay Mapping: Visualizing Technological Distance
- Journal of the Association for Information Science and Technology
, 2014
"... Abstract This paper presents a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique can support competitive intelligence and policy decision-making. T ..."
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Cited by 3 (1 self)
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Abstract This paper presents a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique can support competitive intelligence and policy decision-making. The global patent map is based on similarities in citing-to-cited relationships between categories of the International Patent Classification (IPC) of European Patent Office (EPO) patents from 2000 to 2006. This patent dataset, extracted from the PatStat database, includes 760,000 patent records in more than 400 IPC categories. The paper overlays nanotechnology-related patenting activities of two companies and two different nanotechnology subfields on the global patent map. The exercise shows the potential of patent overlay maps to visualize technological areas and potentially support decision-making. Furthermore, this study shows that IPC categories that are similar to one another based on citing-to-cited patterns (and thus are close in the global patent map) are not necessarily in the same hierarchical IPC branch, thus revealing new relationships between technologies that are classified as pertaining to different (and sometimes distant) subject areas in the IPC scheme. 2
