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Creation of a highly detailed, dynamic, global model and map of science

Citations

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Cited by:

  1. Zhang, Yucheng & Hou, Zhongwei & Yang, Feifei & Yang, Miles M. & Wang, Zhiling, 2021. "Discovering the evolution of resource-based theory: Science mapping based on bibliometric analysis," Journal of Business Research, Elsevier, vol. 137(C), pages 500-516.
  2. Fabian Meyer-Brötz & Edgar Schiebel & Leo Brecht, 2017. "Experimental evaluation of parameter settings in calculation of hybrid similarities: effects of first- and second-order similarity, edge cutting, and weighting factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1307-1325, June.
  3. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
  4. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
  5. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
  6. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
  7. Ruiz-Castillo, Javier & Costas, Rodrigo, 2014. "The skewness of scientific productivity," Journal of Informetrics, Elsevier, vol. 8(4), pages 917-934.
  8. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
  9. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
  10. John P A Ioannidis & Kevin W Boyack & Richard Klavans, 2014. "Estimates of the Continuously Publishing Core in the Scientific Workforce," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
  11. Martina Dort & Anna Enrica Strelow & Blandine French & Madeleine Groom & Marjolein Luman & Lisa B. Thorell & Guido Biele & Hanna Christiansen, 2020. "Bibliometric Review: Classroom Management in ADHD—Is There a Communication Gap Concerning Knowledge Between the Scientific Fields Psychiatry/Psychology and Education?," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
  12. Heng Yang & Nan Wang & Lina Yang & Wei Liu & Sili Wang, 2023. "Research on the Automatic Subject-Indexing Method of Academic Papers Based on Climate Change Domain Ontology," Sustainability, MDPI, vol. 15(5), pages 1-13, February.
  13. Ryo Takahashi & Kenji Kaibe & Kazuyuki Suzuki & Sayaka Takahashi & Kotaro Takeda & Marc Hansen & Michiaki Yumoto, 2023. "New concept of the affinity between research fields using academic journal data in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3507-3534, June.
  14. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
  15. Monika Kosacka-Olejnik & Mariusz Kostrzewski & Magdalena Marczewska & Bogna Mrówczyńska & Paweł Pawlewski, 2021. "How Digital Twin Concept Supports Internal Transport Systems?—Literature Review," Energies, MDPI, vol. 14(16), pages 1-37, August.
  16. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
  17. Oğuzhan Öztürk & Rıdvan Kocaman & Dominik K. Kanbach, 2024. "How to design bibliometric research: an overview and a framework proposal," Review of Managerial Science, Springer, vol. 18(11), pages 3333-3361, November.
  18. 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.
  19. Kevin W. Boyack, 2017. "Investigating the effect of global data on topic detection," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 999-1015, May.
  20. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
  21. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
  22. Maria Karaulova & Maria Nedeva & Duncan A. Thomas, 2020. "Mapping research fields using co-nomination: the case of hyper-authorship heavy flavour physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2229-2249, September.
  23. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
  24. Orlando Fonseca Guilarte & Simone Diniz Junqueira Barbosa & Sinesio Pesco, 2021. "RelPath: an interactive tool to visualize branches of studies and quantify the expertise of authors by citation paths," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4871-4897, June.
  25. 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.
  26. Jiqing Liu & Gui Zhang & Xiaojing Lv & Jiayu Li, 2022. "Discovering the Landscape and Evolution of Responsible Research and Innovation (RRI): Science Mapping Based on Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-32, July.
  27. Carolina Navarro-Lopez & Salvador Linares-Mustaros & Carles Mulet-Forteza, 2022. "“The Statistical Analysis of Compositional Data†by John Aitchison (1986): A Bibliometric Overview," SAGE Open, , vol. 12(2), pages 21582440221, April.
  28. June Young Lee & Sejung Ahn & Dohyun Kim, 2021. "Deep learning-based prediction of future growth potential of technologies," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
  29. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
  30. Sandeep Soni & Kristina Lerman & Jacob Eisenstein, 2021. "Follow the leader: Documents on the leading edge of semantic change get more citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 478-492, April.
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