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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A unified approach to mapping and clustering of bibliometric networks

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Waltman, Ludo, van Eck, Nees Jan, Noyons, Ed C.M.·2010·Journal of Informetrics

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Citations

Cites

Show all 6 references

Research works printed but not linked: 32

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  2. Boyack, 2005, Mapping the backbone of science, Scientometrics, 64, 351, 10.1007/s11192-005-0255-6 · DOI · Paper page
  3. Chen, 1999, Visualising semantic spaces and author co-citation networks in digital libraries, Information Processing and Management, 35, 401, 10.1016/S0306-4573(98)00068-5 · DOI · Paper page
  4. Chen, 2010, The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis, Journal of the American Society for Information Science and Technology, 61, 1386, 10.1002/asi.21309 · DOI · Paper page
  5. Chen, 2010, Community structure of the physical review citation network, Journal of Informetrics, 4, 278, 10.1016/j.joi.2010.01.001 · DOI · Paper page
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  8. Heimo, 2008, Detecting modules in dense weighted networks with the Potts method, Journal of Statistical Mechanics, P08007, 10.1088/1742-5468/2008/08/P08007 · DOI
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  12. Lambiotte, 2009, Communities, knowledge creation, and information diffusion, Journal of Informetrics, 3, 180, 10.1016/j.joi.2009.03.007 · DOI
  13. Leydesdorff, 2009, A global map of science based on the ISI subject categories, Journal of the American Society for Information Science and Technology, 60, 348, 10.1002/asi.20967 · DOI · Paper page
  14. McCain, 1990, Mapping authors in intellectual space: A technical overview, Journal of the American Society for Information Science, 41, 433, 10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q · DOI · Paper page
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  16. Newman, 2004, Analysis of weighted networks, Physical Review E, 70, 056131, 10.1103/PhysRevE.70.056131 · DOI · Paper page
  17. Noyons, E. C. M. (1999). Bibliometric mapping as a science policy and research management tool. PhD thesis, Leiden University.
  18. Noyons, 2009, Applying bibliometric mapping in a high level science policy context, Scientometrics, 79, 261, 10.1007/s11192-009-0417-z · DOI
  19. Noyons, 1999, Integrating research performance analysis and science mapping, Scientometrics, 46, 591, 10.1007/BF02459614 · DOI
  20. Peters, 1993, Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling, Research Policy, 22, 47, 10.1016/0048-7333(93)90032-D · DOI
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  26. Van Eck, N. J.,Waltman, L., Dekker, R., & Van den Berg, J. (in press). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology.
  27. Wallace, 2009, A new approach for detecting scientific specialties from raw cocitation networks, Journal of the American Society for Information Science and Technology, 60, 240, 10.1002/asi.20987 · DOI
  28. White, 2003, Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists, Journal of the American Society for Information Science and Technology, 54, 423, 10.1002/asi.10228 · DOI · Paper page
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  31. Zhang, 2010, Subject clustering analysis based on ISI category classification, Journal of Informetrics, 4, 185, 10.1016/j.joi.2009.11.005 · DOI
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Metadata

Authors
Waltman, L., van Eck, N. J., & Noyons, E. C. M.
Venue
Journal of Informetrics
Publisher
Elsevier BV
Published
2010-10
Volume
4
Issue
4
Pages
629-635
ISSN
1751-1577 (ISSN-L)
OpenAlex
W2076473563
Cited by
2,224
References
6
FWCI
14.89
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: A unified approach to mapping and clustering of bibliometric networks. https://app.cochat.ai/papers/10.1016/j.joi.2010.07.002
The paper
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics. https://doi.org/10.1016/j.joi.2010.07.002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.