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A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure

Author

Listed:
  • Manvendra Janmaijaya

    (Department of Computer Science, South Asian University, New Delhi 110021, India)

  • Amit K. Shukla

    (Department of Computer Science, South Asian University, New Delhi 110021, India)

  • Ajith Abraham

    (Machine Intelligence Research Labs (MIR Labs), 3rd Street NW, P.O. Box 2259, Auburn, WA 98071, USA)

  • Pranab K. Muhuri

    (Department of Computer Science, South Asian University, New Delhi 110021, India)

Abstract

The international journal of neurocomputing (NC) is considered to be one of the most sought out journals in the computer science research fraternity. In this paper, an extensive bibliometric overview of this journal is performed. The bibliometric data is extracted from the Web of Science (WoS) repository. The main objective of this study is to reveal internal structures and hidden inferences, such as highly productive and influential authors, most contributing countries, top institutions, collaborating authors, and so on. The CiteSpace and VOS viewer is used to visualize the graphical mapping of the bibliometric data. Further, the document co-citations network, cluster detection and references with strong citation burst is analyzed to reveal the intellectual base of NC publications.

Suggested Citation

  • Manvendra Janmaijaya & Amit K. Shukla & Ajith Abraham & Pranab K. Muhuri, 2018. "A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure," Publications, MDPI, vol. 6(3), pages 1-22, July.
    • Handle: RePEc:gam:jpubli:v:6:y:2018:i:3:p:32-:d:158757
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    References listed on IDEAS

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    1. Dalia El Khaled & Nuria Novas & Jose-Antonio Gazquez & Francisco Manzano-Agugliaro, 2018. "Dielectric and Bioimpedance Research Studies: A Scientometric Approach Using the Scopus Database," Publications, MDPI, vol. 6(1), pages 1-16, January.
    2. Beril T. Arik & Engin Arik, 2017. "“Second Language Writing” Publications in Web of Science: A Bibliometric Analysis," Publications, MDPI, vol. 5(1), pages 1-12, March.
    3. David Arnott & Graham Pervan, 2015. "A critical analysis of decision support systems research," Palgrave Macmillan Books, in: Leslie P. Willcocks & Chris Sauer & Mary C. Lacity (ed.), Formulating Research Methods for Information Systems, chapter 13, pages 127-168, Palgrave Macmillan.
    4. Laengle, Sigifredo & Merigó, José M. & Miranda, Jaime & Słowiński, Roman & Bomze, Immanuel & Borgonovo, Emanuele & Dyson, Robert G. & Oliveira, José Fernando & Teunter, Ruud, 2017. "Forty years of the European Journal of Operational Research: A bibliometric overview," European Journal of Operational Research, Elsevier, vol. 262(3), pages 803-816.
    5. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    6. Craig Aaen-Stockdale, 2017. "Selfish Memes: An Update of Richard Dawkins’ Bibliometric Analysis of Key Papers in Sociobiology," Publications, MDPI, vol. 5(2), pages 1-9, May.
    7. Vahid Garousi, 2015. "A bibliometric analysis of the Turkish software engineering research community," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 23-49, October.
    8. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    9. Hoepner, Andreas G.F. & Kant, Benjamin & Scholtens, Bert & Yu, Pei-Shan, 2012. "Environmental and ecological economics in the 21st century: An age adjusted citation analysis of the influential articles, journals, authors and institutions," Ecological Economics, Elsevier, vol. 77(C), pages 193-206.
    10. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    11. Gangan Prathap, 2014. "Big data and false discovery: analyses of bibliometric indicators from large data sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1421-1422, February.
    12. Loock, Moritz & Hinnen, Gieri, 2015. "Heuristics in organizations: A review and a research agenda," Journal of Business Research, Elsevier, vol. 68(9), pages 2027-2036.
    13. Yuniol Alvarez-Betancourt & Miguel Garcia-Silvente, 2014. "An overview of iris recognition: a bibliometric analysis of the period 2000–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2003-2033, December.
    14. Jiang, Hanchen & Qiang, Maoshan & Lin, Peng, 2016. "A topic modeling based bibliometric exploration of hydropower research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 226-237.
    15. Dalibor Fiala & Gabriel Tutoky, 2017. "Computer Science Papers in Web of Science: A Bibliometric Analysis," Publications, MDPI, vol. 5(4), pages 1-16, September.
    16. Simon Wakeling & Peter Willett & Claire Creaser & Jenny Fry & Stephen Pinfield & Valerie Spezi, 2017. "Transitioning from a Conventional to a ‘Mega’ Journal: A Bibliometric Case Study of the Journal Medicine," Publications, MDPI, vol. 5(2), pages 1-11, April.
    17. Min Song & SuYeon Kim & Guo Zhang & Ying Ding & Tamy Chambers, 2014. "Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 352-371, February.
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    Cited by:

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    2. Carlos Yure B. Oliveira & Cicero Diogo L. Oliveira & Marius N. Müller & Elizabeth P. Santos & Danielli M. M. Dantas & Alfredo O. Gálvez, 2020. "A Scientometric Overview of Global Dinoflagellate Research," Publications, MDPI, vol. 8(4), pages 1-18, November.
    3. Weiwei Pan & Lirong Jian & Tao Liu, 2019. "Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1407-1434, December.
    4. Matheus Becker Costa & Leonardo Moraes Aguiar Lima Santos & Jones Luís Schaefer & Ismael Cristofer Baierle & Elpidio Oscar Benitez Nara, 2019. "Industry 4.0 technologies basic network identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 977-994, November.
    5. Shaher H. Zyoud & Ahed H. Zyoud, 2021. "Visualization and Mapping of Knowledge and Science Landscapes in Expert Systems With Applications Journal: A 30 Years’ Bibliometric Analysis," SAGE Open, , vol. 11(2), pages 21582440211, June.
    6. Valeriya V. Tynchenko & Vadim S. Tynchenko & Vladimir A. Nelyub & Vladimir V. Bukhtoyarov & Aleksey S. Borodulin & Sergei O. Kurashkin & Andrei P. Gantimurov & Vladislav V. Kukartsev, 2024. "Mathematical Models for the Design of GRID Systems to Solve Resource-Intensive Problems," Mathematics, MDPI, vol. 12(2), pages 1-33, January.

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