The Brief Bibliometric Analysis of the Topic: "Algorithms and Artificial Intelligence". WoS (original) (raw)
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Bibliometric Mapping of the Computational Intelligence Field
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007
In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996-2000 and 2001-2005. Both the current structure of the field and the evolution of the field over the last decade are analyzed. In addition, a number of emerging areas in the field are identified. It turns out that computational intelligence can best be seen as a field that is structured around four important types of problems, namely control problems, classification problems, regression problems, and optimization problems. Within the computational intelligence field, the neural networks and fuzzy systems subfields are fairly intertwined, whereas the evolutionary computation subfield has a relatively independent position.
A Bibliographic Study on Artificial Intelligence Research: Global Panorama and Indian Appearance
Library Herald
The present study identifies and assesses the bibliographic trend in Artificial Intelligence (AI) research for the years 2015-2020 using the science mapping method of bibliometric study. The required data has been collected from the Scopus database. To make the collected data analysis-ready, essential data transformation was performed manually and with the help of a tool viz. OpenRefine. For determining the trend and performing the mapping techniques, top five open access and commercial journals of AI have been chosen based on their citescore driven ranking. The work includes 6880 articles published in the specified period for analysis. The trend is based on Countrywise publications, year-wise publications, topical terms in AI, top-cited articles, prominent authors, major institutions, involvement of industries in AI and Indian appearance. The results show that compared to open access journals; commercial journals have a higher citescore and number of articles published over the years. Additionally, IEEE is the prominent publisher which publishes 84% of the top-cited publications. Further, China and the United States are the major contributors to literature in the AI domain. The study reveals that neural networks and deep learning are the major topics included in top AI research publications. Recently, not only public institutions but also private bodies are investing their resources in AI research. The study also investigates the relative position of Indian researchers in terms of AI research. Present work helps in understanding the initial development, current stand and future direction of AI.
Sustainability (MDPI), 2023
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied to the AI and BDA literature to map out existing scholarships. We summarise 711 bibliometric articles on AI & its sub-sets and BDA published in multiple fields to identify academic disciplines with significant research contributions. We pulled bibliometric review papers from the Scopus Q1 and Q2 journal database published between 2012 and 2022. The Scopus database returned 711 documents published in journals of different disciplines from 59 countries, averaging 17.9 citations per year. Multiple software and Database Analysers were used to investigate the data and illustrate the most active scientific bibliometric indicators such as authors and co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. The USA was the most influential nation (101 documents; 5405 citations), while China was the most productive nation (204 documents; 2371 citations). The most productive institution was Symbiosis International University, India (32 documents; 4.5%). The results reveal a substantial increase in bibliometric reviews in five clusters of disciplines: (a) Business & Management, (b) Engineering and Construction, (c) Healthcare, (d) Sustainable Operations & I4.0, and (e) Tourism and Hospitality Studies, the majority of which investigate the applications and use cases of AI and BDA to address real-world problems in the field. The keyword co-occurrence in the past bibliometric analyses indicates that BDA, AI, Machine Learning, Deep Learning, NLP, Fuzzy Logic, and Expert Systems will remain conspicuous research areas in these five diverse clusters of domain areas. Therefore, this paper summarises the bibliometric reviews on AI and BDA in the fields of Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism and serves as a starting point for novice and experienced researchers interested in these topics.
Bibliometric Analysis: Artificial Intelligence (AI) in High School Education
Jurnal Imiah Pendidikan dan Pembelajaran
One of the technologies that can be used in education is Artificial Intelligence (AI). Artificial intelligence (AI) is the ability of machines or computer programs to imitate or perform tasks that normally require human intelligence, such as decision-making, speech or image recognition, and problem-solving. The purpose of this research is to analyze publications related to Artificial Intelligence (AI) in Middle Schools and to describe the characteristics of this research. The method used is descriptive bibliometric analysis. The Scopus database is used to obtain the necessary data. The research results show that publications have increased from 9 in 2021 to 20 in 2020. Publications in 2010 have been cited more than any other year. China is the most influential country in this field. Most publications on Artificial Intelligence research applied to high school students are at the Q1 rank, namely 25 journals. New themes in this field are machine learning and deep learning. Artificial I...
DESIDOC Journal of Library & Information Technology
The paper examines the world output in artificial intelligence research, a total of 1,52,655 publications, as seen from Scopus database, covering the period during 2007-16. The top 10 countries of the world in artificial intelligence research accounted for 74.32 per cent global publication share. Individually their global share varied from 3.68 per cent to 19.46 per cent, with China accounting for 19.46 per cent global share, followed by the USA (17.96 %), India (6.37 %), and the U.K. (6.33 %), etc. The paper also examines publications output by India in artificial intelligence research. India cumulated a total of 9730 publications in 10 years during 2007-16, registered an annual average growth rate of 27.45 per cent, averaged citation impact to 2.76 citations per paper, and contributed 10.34 per cent share of its total country output as international collaborative publications during 2007-16. Computer science accounted for the largest publication share (86.99 %), followed by engineering (30.69 %), mathematics (15.95 %), biochemistry, genetics & molecular biology (4.66 %), and several other disciplines. The top 10 organizations and 10 authors together accounted for 19.31 per cent and 2.71 per cent national publications share respectively and 29.78 per cent share and 6.85 per cent national citation share respectively during 2007-16. Top 10 journals accounted for 15.45 per cent share of the country output appearing in journal medium (1650 papers). India accounted for 24 highly cited papers, averaging to 162.46 citations per paper. These 24 highly cited papers involved the participation of 109 authors from 70 organizations, published in 15 journals.
Sustainability
In recent times, artificial intelligence (AI) has been generating a significant impact in various industry sectors, which implies that companies must be ready to adjust to this promising start and progress in the direction of sustainability. The objective of this paper was to analyze the industrial sectors impacted by artificial intelligence during the period 2018–2022. The methodology consisted of applying a quantitative and bibliometric approach to a collection of 164 manuscripts indexed in Scopus with the help of statistical packages such as RStudio version 4.3.0, VOSviewer version 1.6.19, and Microsoft Excel 365. The results indicate that artificial intelligence is having a growing impact in sectors such as technology, finance, healthcare, the environment, and construction. Geographically, the most impacted sectors are in Europe and Asia, while the least impacted are in the Americas, Africa, and Oceania. It is proposed to conduct future research using AI in power quality (PQ), e...
Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016)
Applied Soft Computing, 2018
Bibliometric analysis of ASOC publications (2004-2016) with Web of Science (WoS) data. Main influencing aspects that govern the ASOC publications are highlighted. The distribution of citations over the years, citing sources and an aerial view of the citation structure is also given. ASOC authorship is analyzed, the author co-citation network is also given. Country-wise temporal and quantitative analysis of the ASOC publications are given.
Research Paper on Artificial Intelligence
1. ABSTRACT: This branch of computer science is concerned with making computers behave like humans. Artificial intelligence includes game playing, expert systems, neural networks, natural language, and robotics. Currently, no computers exhibit full artificial intelligence (that is, are able to simulate human behavior). The greatest advances have occurred in the field of games playing. The best computer chess programs are now capable of beating humans. Today, the hottest area of artificial intelligence is neural networks, which are proving successful in a number of disciplines such as voice recognition and natural-language processing. There are several programming languages that are known as AI languages because they are used almost exclusively for AI applications. The two most common are LISP and Prolog. Artificial intelligence is working a lot in decreasing human effort but with less growth. 2.
2019
In this paper we present a technique that employ Artificial Neural Networks and expert systems to obtain knowledge for the learner model in the Linear Programming Intelligent Tutoring System(LP-ITS) to be able to determine the academic performance level of the learners in order to offer him/her the proper difficulty level of linear programming problems to solve. LP-ITS uses Feed forward Back-propagation algorithm to be trained with a group of learners data to predict their academic performance. Furthermore, LP-ITS uses an Expert System to decide the proper difficulty level that is suitable with the predicted academic performance of the learner. Several tests have been carried out to examine adherence to real time data. The accuracy of predicting the performance of the learners is very high and thus states that the Artificial Neural Network is skilled enough to make suitable predictions.
Artificial Intelligence in Education: A Bibliometric Study
2021
The aim of this study is to examine the studies in the literature on the use of artificial intelligence in education in terms of its bibliometric properties. The Web of Science (WoS) database was used to collect the data. Various keywords were used to search the literature, and a total of 2,686 publications on the subject published between 2001-2021 were found. The inquiry revealed that most of the studies were carried out in the USA. According to the results, it was seen that the most frequently published journals were Computers & Education and International Journal of Emerging Technologies in Learning. The study showed that the institutions of the authors were in the first place as Carnegie Mellon University, University of Memphis and Arizona State University as the most productive organizations due to the number of their publications, while Vanlehn, K. and Chen, C. –M. were the most effective and productive researchers. As a result of the analysis, it was determined that the co-a...