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Mapping research topics using word-reference co-occurrences: A method and an exploratory case study

Citations

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Cited by:

  1. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
  2. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
  3. Hyundong Nam & Taewoo Nam, 2021. "Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
  4. Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
  5. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
  6. Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
  7. António Correia & Hugo Paredes & Benjamim Fonseca, 2018. "Scientometric analysis of scientific publications in CSCW," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 31-89, January.
  8. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  9. Hai-Yun Xu & Zeng-Hui Yue & Chao Wang & Kun Dong & Hong-Shen Pang & Zhengbiao Han, 2017. "Multi-source data fusion study in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 773-792, May.
  10. Diana Maynard & Benedetto Lepori & Johann Petrak & Xingyi Song & Philippe Laredo, 2020. "Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1275-1290, November.
  11. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
  12. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.
  13. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
  14. Heimeriks, Gaston & van den Besselaar, Peter & Frenken, Koen, 2008. "Digital disciplinary differences: An analysis of computer-mediated science and 'Mode 2' knowledge production," Research Policy, Elsevier, vol. 37(9), pages 1602-1615, October.
  15. Anna D’Auria & Marco Tregua & Tiziana Russo Spena & Francesco Bifulco, 2017. "Multiple Context of Innovation: Insights from Literature," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-15, April.
  16. Sharma, Ravi & Bharti, Nisha, 2020. "Non-timber Forest Products Value Chain Toward Sustainable Livelihood: Exploring Linkages and Trends Using Visual Optimization Network Analysis," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 17(2), December.
  17. Gurney, Thomas & Horlings, Edwin & van den Besselaar, Peter & Sumikura, Koichi & Schoen, Antoine & Laurens, Patricia & Pardo, Daniel, 2014. "Analysing knowledge capture mechanisms: Methods and a stylised bioventure case," Journal of Informetrics, Elsevier, vol. 8(1), pages 259-272.
  18. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2015. "Clustering research group website homepages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2023-2039, March.
  19. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
  20. David Swanson & Luis Santamaria, 2021. "Pandemic Supply Chain Research: A Structured Literature Review and Bibliometric Network Analysis," Logistics, MDPI, vol. 5(1), pages 1-22, January.
  21. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
  22. I-Cheng Chang & Tai-Kuei Yu & Yu-Jie Chang & Tai-Yi Yu, 2021. "Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
  23. Carlos G. Figuerola & Francisco Javier García Marco & María Pinto, 2017. "Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1507-1535, September.
  24. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
  25. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
  26. Milojević, Staša & Sugimoto, Cassidy R. & Larivière, Vincent & Thelwall, Mike & Ding, Ying, 2014. "The role of handbooks in knowledge creation and diffusion: A case of science and technology studies," Journal of Informetrics, Elsevier, vol. 8(3), pages 693-709.
  27. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.
  28. David Chavalarias & Jean-Philippe Cointet, 2008. "Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 37-50, April.
  29. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
  30. Chen, Dar-Zen & Huang, Mu-Hsuan & Hsieh, Hui-Chen & Lin, Chang-Pin, 2011. "Identifying missing relevant patent citation links by using bibliographic coupling in LED illuminating technology," Journal of Informetrics, Elsevier, vol. 5(3), pages 400-412.
  31. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
  32. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
  33. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
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