IDEAS home Printed from https://ideas.repec.org/a/gam/jpubli/v6y2018i3p32-d158757.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2304-6775/6/3/32/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2304-6775/6/3/32/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Vahid Garousi, 2015. "A bibliometric analysis of the Turkish software engineering research community," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 23-49, October.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Dalibor Fiala & Gabriel Tutoky, 2017. "Computer Science Papers in Web of Science: A Bibliometric Analysis," Publications, MDPI, vol. 5(4), pages 1-16, September.
    14. 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.
    15. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Li Yan & Wang Zhiping, 2023. "Mapping the Literature on Academic Publishing: A Bibliometric Analysis on WOS," SAGE Open, , vol. 13(1), pages 21582440231, March.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    2. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    3. Nan Zhang & Shanshan Wan & Peiling Wang & Peng Zhang & Qiang Wu, 2018. "A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1039-1053, August.
    4. Setareh Boshrouei Shargh & Mostafa Zandieh & Ashkan Ayough & Farbod Farhadi, 2024. "Scheduling in services: a review and bibliometric analysis," Operations Management Research, Springer, vol. 17(2), pages 754-783, June.
    5. Yuqing Fang, 2015. "Visualizing the structure and the evolving of digital medicine: a scientometrics review," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 5-21, October.
    6. Porter, Alan L. & Garner, Jon & Carley, Stephen F. & Newman, Nils C., 2019. "Emergence scoring to identify frontier R&D topics and key players," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 628-643.
    7. Hugo Baier-Fuentes & José M. Merigó & José Ernesto Amorós & Magaly Gaviria-Marín, 2019. "International entrepreneurship: a bibliometric overview," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 385-429, June.
    8. Fuzhen Liu & Kee-hung Lai & Wei Cai, 2021. "Responsible Production for Sustainability: Concept Analysis and Bibliometric Review," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
    9. Min Song & Go Eun Heo & Su Yeon Kim, 2014. "Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 397-428, October.
    10. Porter, Alan L. & Chiavetta, Denise & Newman, Nils C., 2020. "Measuring tech emergence: A contest," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    11. Chaomei Chen & Min Song, 2019. "Visualizing a field of research: A methodology of systematic scientometric reviews," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-25, October.
    12. Bo Li & Zeshui Xu, 2021. "Insights into financial technology (FinTech): a bibliometric and visual study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    13. Xinxin Wang & Zeshui Xu & Yong Qin, 2022. "Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 649-672, December.
    14. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    15. Wang, Xinxin & Qin, Yong & Xu, Zeshui & Škare, Marinko, 2022. "A look at the focus shift in innovation literature due to Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 145(C), pages 1-20.
    16. Izaskun Alvarez-Meaza & Enara Zarrabeitia-Bilbao & Rosa Maria Rio-Belver & Gaizka Garechana-Anacabe, 2020. "Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map," Sustainability, MDPI, vol. 12(6), pages 1-25, March.
    17. Merigó, José M. & Mas-Tur, Alicia & Roig-Tierno, Norat & Ribeiro-Soriano, Domingo, 2015. "A bibliometric overview of the Journal of Business Research between 1973 and 2014," Journal of Business Research, Elsevier, vol. 68(12), pages 2645-2653.
    18. Hrosul, Viktoriia & Kruhlova, Olena & Kolesnyk, Alina, 2023. "Digitalization of the agricultural sector: the impact of ICT on the development of enterprises in Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(4), December.
    19. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    20. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jpubli:v:6:y:2018:i:3:p:32-:d:158757. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.