Global Research on Artificial Intelligence from 1990–2014: Spatially-Explicit Bibliometric Analysis

Abstract

Abstract:In this article, we conducted the evaluation of artificial intelligence research from 1990-2014 by using bibliometric analysis. We introduced spatial analysis and social network analysis as geographic information retrieval methods for spatially-explicit bibliometric analysis. This study is based on the analysis of data obtained from database of the Science Citation Index Expanded (SCI-Expanded) and Conference Proceedings Citation Index-Science (CPCI-S). Our results revealed scientific outputs, subject categories and main journals, author productivity and geographic distribution, international productivity and collaboration, and hot issues and research trends. The growth of article outputs in artificial intelligence research has exploded since the 1990s, along with increasing collaboration, reference, and citations. Computer science and engineering were the most frequently-used subject categories in artificial intelligence studies. The top twenty productive authors are distributed in countries with a high investment of research and development. The United States has the highest number of top research institutions in artificial intelligence, producing most single-country and collaborative articles. Although there is more and more collaboration among institutions, cooperation, especially international ones, are not highly prevalent in artificial intelligence research as expected. The keyword analysis revealed interesting research preferences, confirmed that methods, models, and application are in the central position of artificial intelligence. Further, we found interesting related keywords with high co-occurrence frequencies, which have helped identify new models and application areas in recent years. Bibliometric analysis results from our study will greatly facilitate the understanding of the progress and trends in artificial intelligence, in particular, for those researchers interested in domain-specific AI-driven problem-solving. This will be of great assistance for the applications of AI in alternative fields in general and geographic information science, in particular.

Global Publications Output in Quantum Computing Research: A Scientometric Assessment during 2007-16

“…(KEY (quantum computing) OR TITLE (quantum computing)) AND PUBYEAR > 2006 AND PUBYEAR < 2017 Of the total global publications output, 53.65% (2523) appeared as articles, 38.19% (1796) as conference papers, 3.38% (159) as reviews, 2.36% (111) as book chapters, 0.68% (32) as short surveys, 0.51% (24) as books, 0.43% (20) as editorials, 0.30% (14) as notes, 0.28% (13) as conference reviews and 0.23% (11) as articles in press.…”

“…No other studies are available as yet in the body of literature on bibliometric studies covering quantitative and qualitative description of quantum computing research per se. However, a number of bibliometric studies do exist on computer science research in general [8][9][12][13][14][15][16][17][18][19] and its subfields such as artificial intelligence [18,20], cloud computing [19][20][21][22], cryptography [21,23], computational intelligence [22,24], granular computing [23,25], grid computing [24,26], parallel computing [25,27], pervasive and ubiquitous computing [26,28], and software engineering [27,29], etc. in particular.…”

Bibliometric Analysis of Global Remote Sensing Research during 2010–2015

“…Collaboration type was determined by the addresses of the authors, where the term "single-country article" was assigned if the researchers' addresses were from the same country. The term "international collaborative article" was designated to those publications that were co-authored by researchers from multiple countries [17,25]. The number of publications, citation times, as well as CPP were all calculated.…”

Forests’ First Decade: A Bibliometric Analysis Overview

“…For this reason, the use of bibliometrics-a research area of library and information sciences that studies bibliographic material using quantitative methods [10,11] and bibliometric indicators-has been extended in recent years in order to analyze the situation of a country's research, its evolution over time and its position in the international context. Most bibliometric studies analyze specific disciplines, yet it has been lately used to present the basic structure of a specific journal in order to provide a complete bibliometric overview throughout several years [12,13].…”