Skip to main content
SpringerLink
Log in

Recapitulation of Research in Artificial Intelligence: A Bibliometric Analysis

  • Conference paper
  • First Online:
Proceedings of International Conference on Communication and Artificial Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 192))

  • 413 Accesses

Abstract

“Artificial intelligence” is the ability to understand and adjust technological advances; computer thinking theory and actions have become a vital task for successful operational advancement in the most modern organizational environment. Artificial intelligence technology provides a significant competitive advantage in the status of society. This article aims to analyze essential artificial intelligence work and discusses the concept of artificial intelligence by incorporating bibliometric research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Aldasoro U, Merino M, Pérez G (2019) Time consistent expected mean-variance in multistage stochastic quadratic optimization: a model and a matheuristic. Ann Oper Res 280(1–2):151–187

    Article  MathSciNet  Google Scholar 

  2. McCarthy J, Minsky ML, Rochester N, Shannon CE (2006) A proposal for the dartmouth summer research project on artificial intelligence, August 31, 1955. AI Magazine 27(4):12–12

    Google Scholar 

  3. Kumar S (2019) Artificial intelligence divulges effective tactics of top management institutes of India. Benchmark Int J 26(7):2188–2204

    Google Scholar 

  4. Richards G, Yeoh W, Chong AYL, Popovic A (2019) Business intelligence effectiveness and corporate performance management: an empirical analysis. J Comput Inform Syst 59(2):188–196

    Google Scholar 

  5. Wauters T, Kinable J, Smet P, Vancroonenburg W, Berghe GV, Verstichel J (2016) The multi-mode resource-constrained multi-project scheduling problem. J Sched 19(3):271–283

    Article  MathSciNet  Google Scholar 

  6. Vinkler P (2010) Indicators are the essence of scientometrics and bibliometrics. Scientometrics 85(3):861–866

    Article  Google Scholar 

  7. Silver D, Schrittwieser J, Simonyan K, Antonoglou I, Huang A, Guez A et al (2017) Mastering the game of go without human knowledge. Nature 550(7676):354–359

    Google Scholar 

  8. Scherer MU (2015) Regulating artificial intelligence systems: risks, challenges, competencies, and strategies. Harv JL Tech 29:353

    Google Scholar 

  9. Paschen J, Pitt L, Kietzmann JH (2019) Emerging technologies and value creation in business and industrial marketing. J Bus Indus Market 34(2)

    Google Scholar 

  10. Ghahramani Z (2015) Probabilistic machine learning and artificial intelligence. Nature 521(7553):452–459

    Article  Google Scholar 

  11. Davis E, Gary M (2015) Commonsense reasoning and commonsense knowledge in artificial intelligence. Commun ACM 58(9):92–103

    Article  Google Scholar 

  12. Chau KW (2006) A review on integration of artificial intelligence into water quality modelling. Mar Pollut Bull 52(7):726–733

    Article  Google Scholar 

  13. Hanson CW, Marshall BE (2001) Artificial intelligence applications in the intensive care unit. Crit Care Med 29(2):427–435

    Article  Google Scholar 

  14. Gonzalez LF, Montes GA, Puig E, Johnson S, Mengersen K, Gaston KJ (2016) Unmanned aerial vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation. Sensors 16(1):97

    Article  Google Scholar 

  15. Van Nunen E, Verhaegh J, Silvas E, Semsar-Kazerooni E, van de Wouw N (2017) Robust model predictive cooperative adaptive cruise control subject to V2V impairments. In: 2017 IEEE 20th international conference on intelligent transportation systems (ITSC). IEEE, pp 1–8

    Google Scholar 

  16. Telukdarie A, Buhulaiga E, Bag S, Gupta S, Luo Z (2018) Industry 4.0 implementation for multinationals. Process Saf Environ Prot 118:316–329

    Google Scholar 

  17. Waltman L, Van Eck NJ, Noyons EC (2010) A unified approach to mapping and clustering of bibliometric networks. J Informetr 4(4):629–663

    Article  Google Scholar 

  18. Dwivedi YK, Rana NP, Jeyaraj A, Clement M, Williams MD (2019) Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model. Inform Syst Frontiers 21(3):719–734

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. GLA University, Mathura, India

    Utkal Khandelwal & Trilok Pratap Singh

Authors
  1. Utkal Khandelwal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Trilok Pratap Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Utkal Khandelwal .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, GLA University, Mathura, India

    Vishal Goyal

  2. Department of Electronics and Communication Engineering, GLA University, Mathura, India

    Manish Gupta

  3. Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh, India

    Aditya Trivedi

  4. Faculty of Engineering and Science, University of Agder, Kristiansand, Norway

    Mohan L. Kolhe

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khandelwal, U., Singh, T.P. (2021). Recapitulation of Research in Artificial Intelligence: A Bibliometric Analysis. In: Goyal, V., Gupta, M., Trivedi, A., Kolhe, M.L. (eds) Proceedings of International Conference on Communication and Artificial Intelligence. Lecture Notes in Networks and Systems, vol 192. Springer, Singapore. https://doi.org/10.1007/978-981-33-6546-9_51

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6546-9_51

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6545-2

  • Online ISBN: 978-981-33-6546-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation