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30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT

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Abstract

Applied Intelligence is one of the most important international scientific journals in the field of artificial intelligence. From 1991, Applied Intelligence has been oriented to support research advances in new and innovative intelligent systems, methodologies, and their applications in solving real-life complex problems. In this way, Applied Intelligence hosts more than 2,400 publications and achieves around 31,800 citations. Moreover, Applied Intelligence is recognized by the industrial, academic, and scientific communities as a source of the latest innovative and advanced solutions in intelligent manufacturing, privacy-preserving systems, risk analysis, knowledge-based management, modern techniques to improve healthcare systems, methods to assist government, and solving industrial problems that are too complex to be solved through conventional approaches. Bearing in mind that Applied Intelligence celebrates its 30th anniversary in 2021, it is appropriate to analyze its bibliometric performance, conceptual structure, and thematic evolution. To do that, this paper conducts a bibliometric performance and conceptual structure analysis of Applied Intelligence from 1991 to 2020 using SciMAT. Firstly, the performance of the journal is analyzed according to the data retrieved from Scopus, putting the focus on the productivity of the authors, citations, countries, organizations, funding agencies, and most relevant publications. Finally, the conceptual structure of the journal is analyzed with the bibliometric software tool SciMAT, identifying the main thematic areas that have been the object of research and their composition, relationship, and evolution during the period analyzed.

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Acknowledgements

The authors acknowledge the support of the CONACYT-Consejo Nacional de Ciencia y Tecnología (Mexico) and COZCYT-Consejo Zacatecano de Ciencia, Tecnología e Innovación (Mexico) to carry out this study. Additionally, this work has been supported by the Spanish State Research Agency through the project PID2019-105381GA-I00 / AEI / 10.13039/501100011033 (iScience) and PID2019-103880RB-I00 / AEI / 10.13039/501100011033.

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Authors and Affiliations

  1. Academic Unit of Accounting and Management, Autonomous University of Zacatecas, Zacatecas, Mexico

    J. R. López-Robles

  2. Department of Computer Science and Engineering, University of Cadiz, Cádiz, Spain

    J. R. López-Robles

  3. Department of Computer Science and Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Cadiz, Cádiz, Spain

    M. J. Cobo

  4. Department of Management, Marketing and Sociology, University of Jaen, Jaén, Spain

    M. Gutiérrez-Salcedo

  5. Department of Social Work, University of Granada, Granada, Spain

    M. A. Martínez-Sánchez

  6. CONACYT-Academic Unit of Electric Engineering, Autonomous University of Zacatecas, Zacatecas, Mexico

    N. K. Gamboa-Rosales

  7. Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain

    E. Herrera-Viedma

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  1. J. R. López-Robles
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  2. M. J. Cobo
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  3. M. Gutiérrez-Salcedo
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  4. M. A. Martínez-Sánchez
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  5. N. K. Gamboa-Rosales
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  6. E. Herrera-Viedma
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Correspondence to M. J. Cobo.

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This article belongs to the Topical Collection: 30th Anniversary Special Issue

Appendix A: H-Classics

Appendix A: H-Classics

In the Appendix A

Table 10 List of H-Classics of APIN journal
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López-Robles, J.R., Cobo, M.J., Gutiérrez-Salcedo, M. et al. 30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT. Appl Intell 51, 6547–6568 (2021). https://doi.org/10.1007/s10489-021-02584-z

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