José Ricardo López-Robles

Orcid: 0000-0003-3780-1955

According to our database1, José Ricardo López-Robles authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Big data in healthcare: Conceptual network structure, key challenges and opportunities.
Digit. Commun. Networks, August, 2023

Internet of things: Conceptual network structure, main challenges and future directions.
Digit. Commun. Networks, June, 2023

2021
An overview of 42 years of lean production: applying bibliometric analysis to investigate strategic themes and scientific evolution structure.
Technol. Anal. Strateg. Manag., 2021

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends.
Bus. Process. Manag. J., 2021

30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT.
Appl. Intell., 2021

2020
Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017.
Technol. Anal. Strateg. Manag., 2020

Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends.
IEEE Access, 2020

Link Between Sustainability and Industry 4.0: Trends, Challenges and New Perspectives.
IEEE Access, 2020

2019
30 years of intelligence models in management and business: A bibliometric review.
Int. J. Inf. Manag., 2019

The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018
60 Years of Business Intelligence: A Bibliometric Review from 1958 to 2017.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018


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