A fuzzy database engine for mongoDB

Article Properties
Cite
Medina, Juan Miguel, et al. “A Fuzzy Database Engine for MongoDB”. International Journal of Intelligent Systems, vol. 37, no. 9, 2022, pp. 5691-24, https://doi.org/10.1002/int.22807.
Medina, J. M., Blanco, I. J., & Pons, O. (2022). A fuzzy database engine for mongoDB. International Journal of Intelligent Systems, 37(9), 5691-5724. https://doi.org/10.1002/int.22807
Medina, Juan Miguel, Ignacio J. Blanco, and Olga Pons. “A Fuzzy Database Engine for MongoDB”. International Journal of Intelligent Systems 37, no. 9 (2022): 5691-5724. https://doi.org/10.1002/int.22807.
Medina JM, Blanco IJ, Pons O. A fuzzy database engine for mongoDB. International Journal of Intelligent Systems. 2022;37(9):5691-724.
Refrences
Title Journal Journal Categories Citations Publication Date
Type of NoSQL databases and its comparison with relational databases 2013
A survey of fuzzy techniques in object oriented databases 2011
Apply uncertainty in document‐oriented database (MongoDB) using F‐XML 2018
10.1109/FUZZ-IEEE.2018.8491608
10.1109/FUZZ-IEEE.2017.8015403
Citations
Title Journal Journal Categories Citations Publication Date
Soft Querying Features in GeoJSON Documents: The GeoSoft Proposal

International Journal of Computational Intelligence Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Soft querying powered by user-defined functions in J-CO-QL Neurocomputing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2023
PA-LBF: Prefix-Based and Adaptive Learned Bloom Filter for Spatial Data

International Journal of Intelligent Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
1 2023
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Soft Querying Features in GeoJSON Documents: The GeoSoft Proposal and was published in 2023. The most recent citation comes from a 2023 study titled Soft Querying Features in GeoJSON Documents: The GeoSoft Proposal. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the International Journal of Computational Intelligence Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year