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Cognitive resemblance and citation relations in chemical engineering publications

Author

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  • H. P. F. Peters
  • R. R. Braam
  • A. F. J. van Raan

Abstract

In this study we have measured word‐profile similarities between citing and cited publications, as well as between publications citing specific highly cited papers. This “cognitive resemblance” was operationalized by different similarity measures using various kinds of terms and classification types. This study focuses on publications of internationally recognized chemical engineering scientists for the year 1982 as “source” publications, and subsequent publications (of other scientists) citing to these pubications. This study empirically shows that publications with a citation relationship are significantly more content‐related than other publications. It also shows that highly cited documents are mainly cited within their own research area. Thus, at least in chemical engineering, publications sharing citations to the same highly cited article, represent work of the same subject‐matter research area. This is certainly not caused by the “narrowness” of the field, as we also show that there is a clear distribution of publications over many (sub)fields so that chemical engineering can be characterized as a broad, interdisciplinary research field. A weak relationship between word‐profiles and type of classification was found, and this relationship differs between various types of classification. Mapping based on correspondence analysis clearly visualizes content‐related groups of citing and cited publications. Our findings are contrary to the results of some earlier studies and to opinions in circles of sociologists of science that authors refer to publications in a rather arbitrary way mainly for adornment of their claims. These differences can be explained simply with statistical arguments. © 1995 John Wiley & Sons, Inc.

Suggested Citation

  • H. P. F. Peters & R. R. Braam & A. F. J. van Raan, 1995. "Cognitive resemblance and citation relations in chemical engineering publications," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 46(1), pages 9-21, January.
    • Handle: RePEc:bla:jamest:v:46:y:1995:i:1:p:9-21
    DOI: 10.1002/(SICI)1097-4571(199501)46:13.0.CO;2-3
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    1. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    2. P. Vinkler, 1999. "Ratio of short term and long term impact factors and similarities of chemistry journals represented by references," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 621-633, November.
    3. van Raan, A. F. J. & van Leeuwen, Th. N., 2002. "Assessment of the scientific basis of interdisciplinary, applied research: Application of bibliometric methods in Nutrition and Food Research," Research Policy, Elsevier, vol. 31(4), pages 611-632, May.
    4. Wuestman, Mignon L. & Hoekman, Jarno & Frenken, Koen, 2019. "The geography of scientific citations," Research Policy, Elsevier, vol. 48(7), pages 1771-1780.
    5. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    6. Sumita Raghuram & Philipp Tuertscher & Raghu Garud, 2010. "Research Note ---Mapping the Field of Virtual Work: A Cocitation Analysis," Information Systems Research, INFORMS, vol. 21(4), pages 983-999, December.
    7. Takayuki Hayashi, 2003. "Bibliometric analysis on additionality of Japanese R&D programmes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 301-316, March.
    8. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    9. Howard D. White, 2001. "Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 607-637, July.
    10. Gilbert Shama & Klaus Hellgardt & Charles Oppenheim, 2000. "Citation Ootprint Analysis Part I: UK and US Chemical Engineering Academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 289-305, October.
    11. Christian Sternitzke & Isumo Bergmann, 2009. "Similarity measures for document mapping: A comparative study on the level of an individual scientist," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 113-130, January.
    12. Bo Jarneving, 2001. "The cognitive structure of current cardiovascular research," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 365-389, March.
    13. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    14. Wang, Qi & Sandström, Ulf, 2014. "Defining the Role of Cognitive Distance in the Peer Review Process: Explorative Study of a Grant Scheme in Infection Biology," INDEK Working Paper Series 2014/10, Royal Institute of Technology, Department of Industrial Economics and Management.
    15. Howard D. White, 2001. "Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 607-637, January.
    16. Ahlgren, Per & Colliander, Cristian, 2009. "Document–document similarity approaches and science mapping: Experimental comparison of five approaches," Journal of Informetrics, Elsevier, vol. 3(1), pages 49-63.
    17. Sybille Hinze, 1999. "Collaboration and cross-disciplinarity in autoimmune diseases," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 457-471, November.
    18. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Ali Gazni & Fereshteh Didegah, 2016. "The relationship between authors’ bibliographic coupling and citation exchange: analyzing disciplinary differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 609-626, May.
    20. Jarneving, Bo, 2007. "Complete graphs and bibliographic coupling: A test of the applicability of bibliographic coupling for the identification of cognitive cores on the field level," Journal of Informetrics, Elsevier, vol. 1(4), pages 338-356.
    21. Per Ahlgren & Bo Jarneving, 2008. "Bibliographic coupling, common abstract stems and clustering: A comparison of two document-document similarity approaches in the context of science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 273-290, August.

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