Analyzing Bibliometrics of AI and Smart Vehicles

Author:

Samanta Durga Prasad Singh1ORCID,Patnaik B. C. M.1,Satpathy Ipseeta1,Akbar Jahanzeb2ORCID

Affiliation:

1. KIIT University, India

2. Integrity Watch, Afghanistan

Abstract

This chapter presents a concise bibliometric analysis of the intersection between artificial intelligence (AI) and smart vehicles. Through systematic literature review and analysis, key research trends and themes were identified, including AI-driven autonomous driving, intelligent transportation systems, machine learning algorithms, and human-machine interaction. The analysis highlights the growing interest in the field and identifies influential research works, contributors, and collaborative networks. This bibliometric analysis provides valuable insights into the research landscape and offers directions for future studies in AI and smart vehicles.

Publisher

IGI Global

Reference47 articles.

1. Smart transportation systems: Opportunities and challenges for Iran.;M. R.Akbari;Iranian Journal of Management Studies,2018

2. Legodroid: A Type-Driven Library for Android and LEGO Mindstorms Interoperability

3. Certain convergences for intuitionistic fuzzy sets

4. A review of electric vehicle wireless charging technology using electromagnetic resonant coupling.;D. R.Almeida;IEEE Access : Practical Innovations, Open Solutions,2019

5. The Role of Artificial Intelligence in Vehicle Safety.;M. C.Anderson;Artificial Intelligence Review,2020

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