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.
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
Borgatti. - 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. - CRExplorer. Or Cited Reference Explorer is a free
Java-based program that was primarily developed to identify those
publications in a field, a topic or by a researcher which have been
frequently cited. It is especially suitable to study the historical
roots of this field, topic or researcher. - 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.
Statistics
Text anslysis and data mining
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).
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.
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
- COLLNET Journal of Scientometrics and Information Management, Published by Taru & Taylor and Francis since 2007
- Cybermetrics, Published by since 1997
- Journal of The Association for Information Science and Technology, Published by Wiley since 1950
- Journal of Informetrics, Published by Elsevier since 2007
- Journal of Scientometric Research, Published by Wolters Kluwer Health since 2012
- Research Evaluation, Published by Oxford University since 1991
- Research Policy, Published by Elsevier since 1972
- Scientometrics, Published by Springer since 1978
Books on Scientometrics
- Anderes, A. (2009). Measuring Academic Research: How to undertake a bibliometric study. Oxford: Chandos.
- Borgman, C.L. (1990). Scholarly communication and bibliometrics: Sage Publications.
- Borner, K. (2010). Atlas of Science: Visualizing What We Know: MIT Press.
- Braam, R.R. (1991). Mapping of science: foci of intellectual
interest in scientific literature: DSWO Press, University of Leiden. - Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and
Research Institutions. Part I. Scientometrics Guidebooks Series:
Akademiai Kiado Zrt. - Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and
Research Institutions. Part II. Scientometrics Guidebooks Series:
Akademiai Kiado Zrt. - Braun, T. (2007). The Impact Factor of Scientific and Scholarly
Journals: Its Use and Misuse in Research Evaluation: Akadémiai Kiadó. - Braun, T. (2008). The Hirsch-index for evaluating science and scientists. Its uses and misuses: Akadémiai Kiadó.
- Braun, T., Bujdosó, E., & Schubert, A. (1987). Literature of analytical chemistry: a scientometric evaluation: CRC Press.
- Braun, T., Glänzel, W., & Schubert, A. (1985). Scientometric
indicators: a 32 country comparative evaluation of publishing
performance and citation impact: World Scientific. - Chiesa, V., & Frattini, F. (2009). Evaluation and performance
measurement of research and development: techniques and perspectives for
multi-level analysis: Edward Elgar. - Cronin, B. (1984). The citation process: the role and significance of citations in scientific communication: Taylor Graham.
- Cronin, B., & Atkins, H.B. (Eds.). (2000). The Web of Knowledge:
A Festschrift in Honor of Eugene Garfield: Information Today Inc. - Cronin, B. & Sugimoto, C.R., (Eds.) (2015). Scholarly metrics under the microscope. Medford, NJ: Information Today.
- De
Bellis, N. (2009). Bibliometrics and Citation Analysis: From the
Science Citation Index to Cybermetrics. Lanham: Scarecrow Press. - Devarajan, G. (1997). Bibliometric studies: Ess Ess Publications.
- Diodato, V.P. (1994). Dictionary of bibliometrics: Haworth Press.
- Egghe, L. (2005). Power Laws in the Information Production Process: Lotkaian Informetrics: Emerald Group Publishing Limited.
- Egghe, L., & Rousseau, R. (1990). Introduction to informetrics:
quantitative methods in library, documentation and information science:
Elsevier Science Publishers. - Eom, S. (2009). Author cocitation Analysis: Quantitative Methods for
Mapping the Intellectual Structure of an Academic Discipline. Hershey:
Information Science Reference. - Evered, D., & Harnett, S. (1989). The Evaluation of Scientific Research: Wiley.
- Geisler, E. (2000). The metrics of science and technology: Quorum Books.
- Harzing, A.W. (2010). The Publish Or Perish Book: Your Guide to
Effective and Responsible Citation Analysis: Tarma Software Research. - Hasan, N. (2010). Mapping the dynamics of world agricultural
research output: A scientometric study LAP LAMBERT Academic Publishing. - Hjerppe, R. (1980). An outline of bibliometrics and citation analysis, Royal Institute of Technology Library.
- Holden, G., Rosenberg, G., & Barker, K. (2006). Bibliometrics in social work: Haworth Social Work Practice Press.
- Leydesdorff, L. (2001). The Challenge of Scientometrics: The
Development, Measurement, and Self-Organization of Scientific
Communications: Universal-Publishers. - 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. - 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. - Nicholas, D., & Ritchie, M. (1978). Literature and bibliometrics: C. Bingley.
- Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: methods and examples: OECD.
- Pǎces, V., Pivec, L., & Teich, A.H. (1999). Science evaluation and its management: IOS Press.
- Raan, A.F.J. (1988). Handbook of quantitative studies of science and technology: North-Holland.
- 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. - Rana, M.S. (2010). Scientometric Study of Wild Mammal Research in
India: Authorship, Distribution and Research Trend: LAP Lambert Academic
Publishing - Rao, I.K.R. (2010). Growth of Literature and Measures of Scientific Productivity: Scientometric Models, Ess Ess Publications.
- Roemer, R. C. & Borchardt, R. (2015). Meaningful Metrics: A 21st
Century Librarian's Guide to Bibliometrics, Altmetrics, and Research
Impact, ACRL. - Santo, A.E. (1978). A measure of the dimensions
of interdisciplinarity of two applied sciences: a scientometric model:
University of Wisconsin. - Sinha, S. C. & Zhiman, A. K. (2001). Citation Analysis of
Research Field and Information Technology Development. ESS ESS
Publications. - Tattersall, A. (editor) (2015). Altmetrics: A practical guide for librarians, researchers and academics, Facet Publishing.
- Tijssen,
R.J.W. (1992). Cartography of science: scientometric mapping with
multidimensional scaling methods: DSWO Press, Leiden University. - 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. - Vinkler, P. (2010). The Evaluation of Research by Scientometric Indicators. Oxford: Chandos.
- Whitley, R., & Gläser, J. (2007). The changing governance of the
sciences: the advent of research evaluation systems: Springer. - Zhao, D. & Strotmann, A.(2015). Analysis and Visualization of Citation Networks, Morgan & Claypool Publishers.
Scientometric Portal - Hamid R. Jamali
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