Hamid R. Jamali

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Scientometric Portal

This page serves as a gateway to scientometric-related materials and resources. If you are aware of anything that should be added to this page please let me know.
 
 
 
 

Tools and Software

General network and graph analysis and visualization 

  • Cytoscape. A free Java-based open source software that although originally designed for bioinformatics research, now it is a general platform for complex network analysis and visualization. Cytoscape core distribution provides a basic set of features for data integration and visualization. Additional features are available as plugins.
  • GeoVIZ. A free toolkit for systematic analysis of spatial, temporal, and attribute data sets. It allows analysts to discover previously hidden patterns in data, moving from spatial patterns to statistical patterns and back again by mixing and matching data visualization components to quickly construct custom analysis tools. It rovides a large selection of mapping and statistical graphing components for depicting univariate and multivariate data in dynamically linked views.
  • Gephi. A free open source interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.
  • Graphviz. A free open source graph visualization software. Its main applications are networking, bioinformatics,  software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. It take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser.
  • GUESS. An free exploratory data analysis and visualization tool for graphs and networks. It can import standard formats (Pajek, GML) and export a wide variety of image types (GIF, PNG, EPS, PDF, JPG, SVG...). Because it is Jython/Java based, users can also construct your own applications and applets without much coding.
  • igraph. A free software package for creating and manipulating undirected and directed graphs. It includes implementations for classic graph theory and also implements algorithms for some recent network analysis methods, like community structure search.
  • InFlow. A commercial software for Social Network Analysis & Organizational Network Analysis.
  • NetDraw. A free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data. It can read UCINET system files, UCINET DL files, Pajek files, and its own VNA format. It exports networds as metafile, jpg, gif and bitmap formats.
  • NodeXL. A free, open-source template for MS Excel to draw graphs and networks. Networks can be imported from and exported to a variety of file formats (e.g. GraphML, UCINet, Pajek, and matrix), and built-in connections for getting networks from Twitter, Flickr, YouTube, and your local email are provided. You can learn how to use it by reading the book by Hansen et al. (2010).
  • Pajek. A free Python-based open source sotware for large networks analysis of visualization. It is probably the most popular network analysis software and largely used by experts in scientometrics. You can learn how to use it by reading the book by de Nooy et al. (2011).
  • prefuse. A free Java-based set of software tools for creating rich interactive data visualizations. Some of its features are Table, Graph, and Tree data structures supporting arbitrary data attributes, data indexing, and selection queries, and animation support.
  • Tulip. A free information visualization framework written by C++ dedicated to the analysis and visualization of relational data.
  • UCINet. A commercial social network analysis program developed by Steve Borgatti and colleagues and distributed by Analytic Technologies. UCINET works in tandem with freeware program called NetDraw for visualizing networks. NetDraw is installed automatically with UCINet.
  • Visone. A free software for analysis and visualization of social network data.

 Scientometric and bibliometric analysis 

  • Bibexcel. A free software designed by Olle Persson to assist a user in analyzing bibliographic data, or any data of a textual nature formatted in a similar manner. The idea is to generate data files that can be imported to Excel, or any program that takes tabbed data records, for further processing. It can be used for co-citation, bibliographic coupling, mapping and clustering analysis.
  • CiteSpace. A free Java-based software for visualizing and analyzing trends and patterns in scientific literature. It is designed as a tool for progressive knowledge domain visualization. Its primary source of input data is ISI WoS. But it also provides some simple interfaces for obtaining data from PubMed, arXiv, ADS, and NSF Award Abstracts. It can be used to generate geographic map overlays viewable in Google Earth based on the locations of authors.
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  • CopalRed. A free program written by Xavier Polanco for the analysis of scholarly publications and scientometric purposes for example for analysing and visualizing the network structure of a scientific field.
  • InterDisciplinary Research (IDR). It's a free tool to measure and map interdisciplinary research. It creates overlay maps of science, as a method to explore the degree of interdisciplinarity of a set of publications. 
  • IN-SPIRE. A commercial software for exploring and visualizing textual data, including Boolean and “topical” queries, term gisting, and time/trend analysis tools. It can be used to explore technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and message traffic, and more.
  • HistCite. A free software developed by E. Garfield to aid researchers in visualizing the results of literature searches in the Web of Science. It lets you analyze and organize the results of a search to obtain various views of the topic's structure, history, and relationships. It visualizes the citation network in a historical manner.
  • Loet Leydesdorff. A set of free DOS-based pieces of software to parse, transform and analyse bibliometrics data obtained from sources such as Scopus, ISI, and Google Scholar for analyses such as coauthorship, international, institutional, inter-city collaboration networks, co-word, co-citation and bibliographic analysis and so on. Although they do not include visualization tools, they prepare the data for the creation of relational databases and visualization by other tools such as Pajek.
  • Network Workbench. A free Java-based large-scale network analysis, modeling and visualization toolkit for biomedical, social science and physics research. It includes specific features for bibliometric studies.
  • Publish or Perish. A free software program that retrieves and analyzes academic citations Google Scholar and calculate No of papers, citations, average No. of citations per paper and per author and per year as well as h-indexs, g-index, and some more metrics.
  • Sci2 Tool. A free Java-based modular toolset specifically designed for the study of science. It supports the temporal, geospatial, topical, and network analysis and visualization of scholarly datasets at the micro (individual), meso (local), and macro (global) levels. It has several visualization features.
  • Vantage Point. A commercial powerful text-mining tool for discovering knowledge in search results from patent and literature databases. It has visualization capabilities.
  • VOSviewer. A free Java-based program, primarily intended to be used for analyzing and visualizing bibliometric networks. It can creates maps of publications, authors, or journals based on a co-citation network or to construct maps of keywords based on a co-occurrence network.

Statistics  

  • Lotka. A free computer program for fitting a power law distribution such as Lotka.
  • R. A free software environment for statistical computing and graphics. 

    • Text anslysis and data mining 

  • Rapid Miner. A free powerfull general purpose data mining application.
  • Textrend. A free platform for the in-depth analysis and visualization of dynamic information on the web for science or business.
  • Vantage Point. A commercial powerful text-mining tool for discovering knowledge in search results from patent and literature databases. It has visualization capabilities.

    • For a list of some of tools used in scientometrics studies see Borner et al (2010) and for comparison of some of these software see Cobo et al. (2011). 

    Science Mapping Resources

    • Places & Spaces: Mapping Science. It is a collection of science maps and visualizations. It is exhibited in different places and they can be ordered.
    • Atlas of Science. This is a book by Katy Börner published by MIT press. It includes 500 color illustrations of different science maps. 

    Science Analysis Companies and Services

    • Elsevier. It is the publisher of Scopus database as well as SciVal which Is a suite of research tools that helps you evaluate, establish and execute your research strategies more effectively. SciVal Spotlight is a unique web-based strategic analysis tool that enables academic executives to make informed strategic decisions by measuring and evaluating an institution's research performance. It evaluates your institution's research output in a single interface. SciVal Funding is a web-based solution that gives research administrators and researchers in the pre-award stage access to current research funding opportunities and award information. It allows you to Find the right funding opportunities and analyze the funding environment.
    • Evidence Ltd. A British knowledge-based company based in Leeds that specializes in the analysis and interpretation of research performance.
    • SCImago. Is a portal that includes the journals and country scientific indicators developed from the information contained in the Scopus. These indicators can be used to assess and analyze scientific domains.
    • Science Metrix. It provides customized services in performance measurement and program evaluation using advanced bibliometric indicators and recognized quantitative and qualitative research methods. In 2010 it published a '30 Years in Science' report.
    • Thomson Reuters. It publishes Web of Knowledge and Web of Science and it also produces a few science analysis databases such as Journal Citation Reports, Science Watch, and Essential Science Indicators. WoS includes some analysis tools.

    Books on Scientometrics

    1. Anderes, A. (2009). Measuring Academic Research: How to undertake a bibliometric study. Oxford: Chandos.
    2. Borgman, C.L. (1990). Scholarly communication and bibliometrics: Sage Publications.
    3. Borner, K. (2010). Atlas of Science: Visualizing What We Know: MIT Press.
    4. Braam, R.R. (1991). Mapping of science: foci of intellectual interest in scientific literature: DSWO Press, University of Leiden.
    5. Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and Research Institutions. Part I. Scientometrics Guidebooks Series: Akademiai Kiado Zrt.
    6. Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and Research Institutions. Part II. Scientometrics Guidebooks Series: Akademiai Kiado Zrt.
    7. Braun, T. (2007). The Impact Factor of Scientific and Scholarly Journals: Its Use and Misuse in Research Evaluation: Akadémiai Kiadó.
    8. Braun, T. (2008). The Hirsch-index for evaluating science and scientists. Its uses and misuses: Akadémiai Kiadó.
    9. Braun, T., Bujdosó, E., & Schubert, A. (1987). Literature of analytical chemistry: a scientometric evaluation: CRC Press.
    10. Braun, T., Glänzel, W., & Schubert, A. (1985). Scientometric indicators: a 32 country comparative evaluation of publishing performance and citation impact: World Scientific.
    11. Chiesa, V., & Frattini, F. (2009). Evaluation and performance measurement of research and development: techniques and perspectives for multi-level analysis: Edward Elgar.
    12. Cronin, B. (1984). The citation process: the role and significance of citations in scientific communication: Taylor Graham.
    13. Cronin, B., & Atkins, H.B. (Eds.). (2000). The Web of Knowledge: A Festschrift in Honor of Eugene Garfield: Information Today Inc.
    14. De Bellis, N. (2009). Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics. Lanham: Scarecrow Press.
    15. Devarajan, G. (1997). Bibliometric studies: Ess Ess Publications.
    16. Diodato, V.P. (1994). Dictionary of bibliometrics: Haworth Press.
    17. Egghe, L. (2005). Power Laws in the Information Production Process: Lotkaian Informetrics: Emerald Group Publishing Limited.
    18. Egghe, L., & Rousseau, R. (1990). Introduction to informetrics: quantitative methods in library, documentation and information science: Elsevier Science Publishers.
    19. Eom, S. (2009). Author cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline. Hershey: Information Science Reference.
    20. Evered, D., & Harnett, S. (1989). The Evaluation of Scientific Research: Wiley.
    21. Geisler, E. (2000). The metrics of science and technology: Quorum Books.
    22. Harzing, A.W. (2010). The Publish Or Perish Book: Your Guide to Effective and Responsible Citation Analysis: Tarma Software Research.
    23. Hasan, N. (2010). Mapping the dynamics of world agricultural research output: A scientometric study LAP LAMBERT Academic Publishing.
    24. Holden, G., Rosenberg, G., & Barker, K. (2006). Bibliometrics in social work: Haworth Social Work Practice Press.
    25. Leydesdorff, L. (2001). The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications: Universal-Publishers.
    26. Moed, H.F. (1989). The use of bibliometric indicators for the assessment of research performance in the natural and life sciences: aspects of data collection, reliability, validity, and applicability: DSWO Press.
    27. Moed, H.F., Glänzel, W., & Schmoch, U. (2004). Handbook of quantitative science and technology research: the use of publication and patent statistics in studies of S & T systems: Kluwer Academic Publishers.
    28. Nicholas, D., & Ritchie, M. (1978). Literature and bibliometrics: C. Bingley.
    29. Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: methods and examples: OECD.
    30. Pǎces, V., Pivec, L., & Teich, A.H. (1999). Science evaluation and its management: IOS Press.
    31. Raan, A.F.J. (1988). Handbook of quantitative studies of science and technology: North-Holland.
    32. Raan, A.F.J., Nederhof, A.J., & Moed, H.F. (1989). Science and technology indicators: their use in science policy and their role in science studies : select proceedings of the First International Workshop on Science and Technology Indicators, Leiden, The Netherlands, 14-16 November 1988: DSWO Press, University of Leiden.
    33. Rana, M.S. (2010). Scientometric Study of Wild Mammal Research in India: Authorship, Distribution and Research Trend: LAP Lambert Academic Publishing
    34. Rao, I.K.R. (2010). Growth of Literature and Measures of Scientific Productivity: Scientometric Models: Ess Ess Publications.
    35. Santo, A.E. (1978). A measure of the dimensions of interdisciplinarity of two applied sciences: a scientometric model: University of Wisconsin.
    36. Tijssen, R.J.W. (1992). Cartography of science: scientometric mapping with multidimensional scaling methods: DSWO Press, Leiden University.
    37. Tijssen, R.J.W., Leeuwen, T.N., & Raan, A.F.J. (2002). Mapping the scientific performance of German medical research: an international comparative bibliometric study: Schattauer.
    38. Vinkler, P. (2010). The Evaluation of Research by Scientometric Indicators. Oxford: Chandos.
    39. Whitley, R., & Gläser, J. (2007). The changing governance of the sciences: the advent of research evaluation systems: Springer.