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Foundations and Trends in Machine Learning
H-index 13

Foundations and Trends in Machine Learning

1935-8237

Published by: Now Publishers

https://www.nowpublishers.com/MAL

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 526 32 11 11

Additional Metrics

Number of Best Scientists*: 37
Documents by Best Scientists*: 14
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 42
SCIMAGO SJR: 22.797
Impact Factor: 25.4

Top Publications

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

    (2021)
    1189 Citations
  • Graph Neural Networks for Natural Language Processing: A Survey

    (2023)
    271 Citations
  • Dynamical Variational Autoencoders: A Comprehensive Review

    Laurent Girin;Simon Leglaive;Xiaoyu Bie;Julien Diard

    (2020)
    247 Citations
  • Spectral Methods for Data Science: A Statistical Perspective

    Yuxin Chen;Yuejie Chi;Jianqing Fan;Cong Ma

    (2021)
    140 Citations
  • Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications

    Ljubisa Stankovic;Danilo P. Mandic;Milos Dakovic;Milos Brajovic

    (2020)
    44 Citations
  • Data Analytics on Graphs Part I: Graphs and Spectra on Graphs

    Ljubisa Stankovic;Danilo P. Mandic;Milos Dakovic;Milos Brajovic

    (2020)
    33 Citations
  • Data Analytics on Graphs Part II: Signals on Graphs

    Ljubisa Stankovic;Danilo P. Mandic;Milos Dakovic;Milos Brajovic

    (2020)
    32 Citations
  • Automated Deep Learning: Neural Architecture Search Is Not the End

    (2021)
    24 Citations
  • Tensor Regression

    (2023)
    22 Citations
  • Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats

    (2023)
    17 Citations

Related Online Degrees & Career Pathways

Exploring Computer Science opens doors to various interdisciplinary fields that complement and expand your career opportunities. For instance, aspiring engineers often consider the cheapest online master's mechanical engineering programs, which offer flexibility and affordability for advancing technical skills.

Similarly, students interested in the theoretical foundations behind computing might explore a physics degree online. This path deepens understanding of algorithms and systems through principles of natural science, offering a strong analytical background.

Data-driven decision-making is at the heart of tech innovation, making a cheapest master in data science a valuable alternative. This degree equips students with essential statistical and computational tools sought by employers across industries.

For those focused on hardware and electronics, an electrical engineering degree online admissions process is typically straightforward, with many programs designed to accommodate working professionals aiming to integrate hardware expertise with software development.

Best Scientists Contributing to This Journal