Tuesday, 17 November 2015

Scientometric Portal

 Source: https://sites.google.com/site/hjamali/scientometric-portal

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 

  • AGNA. A free Java-based software for SNA, sociometry and sequential analysis. Its name stands for Applied Graph and Network Analysis.
  • CFinder. A is
    a free software for finding and visualizing overlapping dense groups of
    nodes in networks, based on the Clique Percolation Method (CPM). 
  • 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.
  • KeyPlayer. A free
    software  for identifying an optimal set of nodes in a network for one
    of two basic purposes: (a) crippling the network by removing key nodes,
    and (b) selecting which nodes to either keep under surveillance or to
    try to influence via some kind of intervention. Written by Steve
  • InFlow. A commercial software for Social Network Analysis & Organizational Network Analysis.
  • MapEquation. Free algorithm and software for detecting communities in large networks.
  • Multinet. A free data
    analysis package that can be used for ordinary data (in which you have a
    file that has one line of data for each case) and for network data (in
    which there are two files -- the "node" file describes the individuals
    and the "link" file describes the connections between individuals). [It
    hasn't beenupdated for long time].
  • 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.
  • NetMiner. A commercial software tool for exploratory analysis and visualization of Network Data. It has 73 kinds of SNA modules and 23 kinds of visualization modules.
  • NetworkX. A  free Python-based
    open source software for the creation, manipulation, and study of the
    structure, dynamics, and functions of complex networks. 
  • 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.
  • Smart Local Moving (SLM) algorithm: A free
    Java-based open-source algorithm (implemented in Modularity Optimizer)
    for community detection (or clustering) in large networks. It maximizes a
    so-called modularity function and it has been successfully applied to
    networks with tens of millions of nodes and hundreds of millions of
    edges. You can read its paper here.
  • SNA package for R. A free range
    of tools for social network analysis with R, including node and
    graph-level indices, structural distance and covariance methods,
    structural equivalence detection, network regression, random graph
    generation, and 2D/3D network visualization.
  • SoNIA. or Social Network Image Animator is a free open source Java-based package for visualizing dynamic or longitudinal network data.
  • StOCNET. A free open source software for advanced statistical analysis (based on probability model) of social networks.
  • 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.
  • BiblioTool. It
    is a set of python scripts (open source) written by Sebastian Grauwin.
    They can read ISI data in csv format and do some analyses including
    co-occurrence map and bibliographic coupling.
  • 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.
  • CitNetExplorer. A free
    java-based software tool developed by Uni of Leiden for visualizing and
    analyzing citation networks of scientific publications. It allows
    citation networks to be imported directly from the Web of Science
    database. Citation networks can be explored interactively, for instance
    by drilling down into a network and by identifying clusters of closely
    related publications. 
  • 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.
  • Headstart. A free open-source software to visualize readership data from Mendeley. It presents
    users with the main areas in the field, and lets them zoom into the
    most important publications within each area. It is intended to give
    researchers that are new to a field a head start on their literature
    review (hence the name). It has been developed by P. Kraker.
  • 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.
    ISI.exe reads isi data in txt format and generates files suitable for
    creating relational database.
  • 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.
  • SAINT: (Science Assessment Integrated Network Toolkit).
    It is an open source software for scientometrics analysis and one of
    the few packages that can be used to convert ISI data into relational
    database (dbm or accdb or sql files). There is a forum to discuss the issues related to SAINT.
  • SciMAT. SciMAT (Science Mapping Anaylsis Tool) is a java-based open source (GPLv3) free
    software tool developed to perform a science mapping analysis under a
    longitudinal framework. SciMAT reads bibliographic data in different
    format and creates a relational database in Sqlite 3 format and allows
    you to do different analyses. The advantage is that you can amend the
    data in the knowlegebase as you wish.
  • 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.
  • Scientometric Project. A set of open source Python scripts for some scientometric data analyses written by Theresa Velden.
  • 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.


  • 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.
    • Excellence Mapping.
      This web application  visualizes the scientific performance of
      institutions (universities or research-focused institutions) within
      specific subject areas (e.g. Chemical Engineering) as ranking lists and
      on maps.

    Science Analysis Companies and Services

    • Academic Analytics. It is a
      provider of high-quality, custom business intelligence data and
      solutions for research universities in the United States and the United
      Kingdom. It helps universities identify their strengths and areas where
      improvements can be made.
    • 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.
    • iFQ (=Institut für Forschungsinformation und Qualitätssicherung [Institute for Research Information and Quality Assurance]). It is a
      non-university organization for science studies located in Berlin
      (Germany). The iFQ provides information and analysis of developments and
      transformations in the German and international science system. It
      focuses on conditions, prerequisites and consequences of research policy
      and research funding.
    • 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.
    • SciTech Strategies Inc. It mainly creates map of science.
    • 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.

    Journals related to Scientometrics

    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. Cronin, B. & Sugimoto, C.R., (Eds.) (2015). Scholarly metrics under the microscope. Medford, NJ: Information Today.
    15. De
      Bellis, N. (2009). Bibliometrics and Citation Analysis: From the
      Science Citation Index to Cybermetrics. Lanham: Scarecrow Press.
    16. Devarajan, G. (1997). Bibliometric studies: Ess Ess Publications.
    17. Diodato, V.P. (1994). Dictionary of bibliometrics: Haworth Press.
    18. Egghe, L. (2005). Power Laws in the Information Production Process: Lotkaian Informetrics: Emerald Group Publishing Limited.
    19. Egghe, L., & Rousseau, R. (1990). Introduction to informetrics:
      quantitative methods in library, documentation and information science:
      Elsevier Science Publishers.
    20. Eom, S. (2009). Author cocitation Analysis: Quantitative Methods for
      Mapping the Intellectual Structure of an Academic Discipline. Hershey:
      Information Science Reference.
    21. Evered, D., & Harnett, S. (1989). The Evaluation of Scientific Research: Wiley.
    22. Geisler, E. (2000). The metrics of science and technology: Quorum Books.
    23. Harzing, A.W. (2010). The Publish Or Perish Book: Your Guide to
      Effective and Responsible Citation Analysis: Tarma Software Research.
    24. Hasan, N. (2010). Mapping the dynamics of world agricultural
      research output: A scientometric study LAP LAMBERT Academic Publishing.
    25. Hjerppe, R. (1980). An outline of bibliometrics and citation analysis, Royal Institute of Technology Library.
    26. Holden, G., Rosenberg, G., & Barker, K. (2006). Bibliometrics in social work: Haworth Social Work Practice Press.
    27. Leydesdorff, L. (2001). The Challenge of Scientometrics: The
      Development, Measurement, and Self-Organization of Scientific
      Communications: Universal-Publishers.
    28. 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.
    29. 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
    30. Nicholas, D., & Ritchie, M. (1978). Literature and bibliometrics: C. Bingley.
    31. Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: methods and examples: OECD.
    32. Pǎces, V., Pivec, L., & Teich, A.H. (1999). Science evaluation and its management: IOS Press.
    33. Raan, A.F.J. (1988). Handbook of quantitative studies of science and technology: North-Holland.
    34. 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.
    35. Rana, M.S. (2010). Scientometric Study of Wild Mammal Research in
      India: Authorship, Distribution and Research Trend: LAP Lambert Academic
    36. Rao, I.K.R. (2010). Growth of Literature and Measures of Scientific Productivity: Scientometric Models, Ess Ess Publications.
    37. Santo, A.E. (1978). A measure of the dimensions of
      interdisciplinarity of two applied sciences: a scientometric model:
      University of Wisconsin.
    38. Sinha, S. C. & Zhiman, A. K. (2001). Citation Analysis of
      Research Field and Information Technology Development. ESS ESS
    39. Tattersall, A. (editor) (2015). Altmetrics: A practical guide for librarians, researchers and academics, Facet Publishing.
    40. Tijssen,
      R.J.W. (1992). Cartography of science: scientometric mapping with
      multidimensional scaling methods: DSWO Press, Leiden University.
    41. 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.
    42. Vinkler, P. (2010). The Evaluation of Research by Scientometric Indicators. Oxford: Chandos.
    43. Whitley, R., & Gläser, J. (2007). The changing governance of the
      sciences: the advent of research evaluation systems: Springer.
    44. Zhao, D. & Strotmann, A.(2015). Analysis and Visualization of Citation Networks, Morgan & Claypool Publishers.

    Scientometric Portal - Hamid R. Jamali

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