-
Garfield, E.; Paris, S.W.; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage (2006)
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- Abstract
- HistCite(TM) is a software tool for analyzing and visualizing direct citation linkages between scientific papers. Its inputs are bibliographic records (with cited references) from "Web of Knowledge" or other sources. Its outputs are various tables and graphs with informetric indicators about the knowledge domain under study. As an example we analyze informetrically the literature about Alexius Meinong, an Austrian philosopher and psychologist. The article shortly discusses the informetric functionality of "Web of Knowledge" and shows broadly the possibilities that HistCite offers to its users (e.g. scientists, scientometricans and science journalists).
- Date
- 4.12.2006 12:09:23
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.391-400
-
Marion, L.S.; McCain, K.W.: Contrasting views of software engineering journals : author cocitation choices and indexer vocabulary assignments (2001)
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- Abstract
- We explore the intellectual subject structure and research themes in software engineering through the identification and analysis of a core journal literature. We examine this literature via two expert perspectives: that of the author, who identified significant work by citing it (journal cocitation analysis), and that of the professional indexer, who tags published work with subject terms to facilitate retrieval from a bibliographic database (subject profile analysis). The data sources are SCISEARCH (the on-line version of Science Citation Index), and INSPEC (a database covering software engineering, computer science, and information systems). We use data visualization tools (cluster analysis, multidimensional scaling, and PFNets) to show the "intellectual maps" of software engineering. Cocitation and subject profile analyses demonstrate that software engineering is a distinct interdisciplinary field, valuing practical and applied aspects, and spanning a subject continuum from "programming-in-the-smalI" to "programming-in-the-large." This continuum mirrors the software development life cycle by taking the operating system or major application from initial programming through project management, implementation, and maintenance. Object orientation is an integral but distinct subject area in software engineering. Key differences are the importance of management and programming: (1) cocitation analysis emphasizes project management and systems development; (2) programming techniques/languages are more influential in subject profiles; (3) cocitation profiles place object-oriented journals separately and centrally while the subject profile analysis locates these journals with the programming/languages group
- Date
- 29. 9.2001 14:01:01
-
Ravichandra Rao, I.K.; Sahoo, B.B.: Studies and research in informetrics at the Documentation Research and Training Centre (DRTC), ISI Bangalore (2006)
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- Abstract
- Contributions of DRTC to informetric studies and research are discussed. A report on recent work - a quantitative country-wise analysis of software literature based on the data from two bibliographic databases i.e. COMPENDEX and INSPEC is presented. The number of countries involved in R & D activities in software in the most productive group is increasing. The research contribution on software is decreasing in developed countries as compared to that in developing and less developed countries. India 's contribution is only 1.1% and it has remained constant over the period of 12 years 1989-2001. The number of countries involved in R&D activities in software has been increasing in the 1990s. It is also noted that higher the budget for higher education, higher the number of publications; and that higher the number of publications, higher the export as well as the domestic consumption of software.
- Date
- 29. 2.2008 18:14:14
-
Bonitz, M.; Scharnhorst, A.: National science systems and the Matthew effect for countries (2000)
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- Series
- Fortschritte in der Wissensorganisation; Bd.6
- Source
- Globalisierung und Wissensorganisation: Neue Aspekte für Wissen, Wissenschaft und Informationssysteme: Proceedings der 6. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Hamburg, 23.-25.9.1999. Hrsg.: H.P. Ohly, G. Rahmstorf u. A. Sigel
-
Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003)
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- Abstract
- Newby, Greenberg, and Jones analyze programming productivity of open source software by counting registered developers contributions found in the Linux Software Map and in Scourceforge. Using seven years of data from a subset of the Linux directory tree LSM data provided 4503 files with 3341 unique author names. The distribution follows Lotka's Law with an exponent of 2.82 as verified by the Kolmolgorov-Smirnov one sample goodness of fit test. Scourceforge data is broken into developers and administrators, but when both were used as authors the Lotka distribution exponent of 2.55 produces the lowest error. This would not be significant by the K-S test but the 3.54% maximum error would indicate a fit and calls into question the appropriateness of K-S for large populations of authors.
-
Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003)
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- Date
- 29. 3.2003 19:52:23
-
Harzing, A.-W.; Wal, R. van der: ¬A Google Scholar h-index for journals : an alternative metric to measure journal impact in economics and business (2009)
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- Date
- 23. 2.2009 18:33:00
-
Davis, P.M.: Author-choice open-access publishing in the biological and medical literature : a citation analysis (2009)
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- Date
- 23. 2.2009 18:19:23
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Althouse, B.M.; West, J.D.; Bergstrom, C.T.; Bergstrom, T.: Differences in impact factor across fields and over time (2009)
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- Date
- 23. 2.2009 18:22:28
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Nicolaisen, J.: ¬The J-shaped distribution of citedness (2002)
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- 6.11.2005 19:15:23
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Cronin, B.; Meho, L.I.: Using the h-index to rank influential information scientists (2006)
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- 3. 1.2007 17:23:21
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Järvelin, K.; Persson, O.: ¬The DCI-index : discounted cumulated impact-based research evaluation (2008)
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- 23. 2.2009 18:16:11
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Davis, P.M.: Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts? (2008)
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- Date
- 9.11.2008 13:09:23
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Burrell, Q.L.: Some comments on "A proposal for a dynamic h-Type Index" by Rousseau and Ye (2009)
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- Date
- 23. 2.2009 20:06:58
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Tol, R.S.J.: ¬The Matthew effect defined and tested for the 100 most prolific economists (2009)
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- Date
- 23. 2.2009 20:08:39
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Hu, X.: Loads of special authorship functions : linear growth in the percentage of "equal first authors" and corresponding authors (2009)
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- Date
- 5.11.2009 20:40:23
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Brown, C.: ¬The role of electronic preprints in chemical communication : analysis of citation, usage, and acceptance in the journal literature (2003)
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- Date
- 29. 3.2003 19:23:05
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Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007)
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- Abstract
- Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
-
Tsay, M.-y.: Literature growth, journal characteristics, and suthor productivity in subject indexing, 1977 to 2000 (2004)
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- Abstract
- This study employed the Perl program, Excel software, and some bibliometric techniques to investigate growth pattern, journal characteristics, and author productivity of the subject indexing literature from 1977 to 2000, based an the subject search of a descriptor field in the Library and Information Science Abstracts (LISA) database. The literature growth from 1977 to 2000 in subject indexing could be fitted well by the logistic curve. The Bradford plot of journal literature fits the typical Bradford-Zipf S-shaped curve. Twenty core journals making a significant contribution could be identified from the Bradford-Zipf distribution. Four major research topics in the area of subject indexing were identified as: (1) information organization, (2) information processing, (3) information storage and retrieval, and (4) information systems and services. It was also found that a vast majority of authors (76.7%) contributed only one article, which is a much larger percentage than the 60% of original Lotka's data. The 15 most productive authors and the key concepts of their research were identified.
-
Leydesdorff, L.: Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports (2004)
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- Abstract
- The aggregated journal-journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph-analytical algorithm of bi-connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next-order network of "general science" journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.
