Jeremy Howard | Academic Influence

Jeremy Howard 's AcademicInfluence.com Rankings

Jeremy Howard

Computer Science

#11395

World Rank

#12069

Historical Rank

Data Science

#335

World Rank

#344

Historical Rank

Algorithms

#504

World Rank

#510

Historical Rank

Computational Linguistics

#3146

World Rank

#3186

Historical Rank

computer-science Degrees

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Computer Science

Jeremy Howard 's Degrees

Bachelors Philosophy University of Melbourne
Doctorate Law University of Melbourne

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Best Online Bachelor's in Philosophy 2026

Why Is Jeremy Howard Influential?

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According to Wikipedia, Jeremy Howard is an Australian data scientist, entrepreneur, and educator. He is the co-founder of fast.ai, where he teaches introductory courses, develops software, and conducts research in the area of deep learning.

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Jeremy Howard 's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Universal Language Model Fine-tuning for Text Classification (2018) (2796)
fastai: A Layered API for Deep Learning (2020) (536)
Face Masks Against COVID-19: An Evidence Review (2020) (358)
Fine-tuned Language Models for Text Classification (2018) (247)
Deep Learning-Based Point-Scanning Super-Resolution Imaging (2019) (83)
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning (2019) (67)
The business impact of deep learning (2013) (15)
The Matrix Calculus You Need For Deep Learning (2018) (14)
Universal Language Model Fine-Tuning with Subword Tokenization for Polish (2018) (7)
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction (2019) (4)
The influence of size and abiotic factors on cutaneous water loss. (2020) (1)
Movement and Microhabitat Selection in the Southern Flying Squirrel (Glaucomys volans) in Southwestern Illinois (2020) (1)
Some Thoughts on Deep Learning and Infosec (2018) (0)
Training, Testing, and Validation Data for "Deep Learning-Based Point-Scanning Super-Resolution Imaging" (2019) (0)
Gap Crossing in Flying Squirrels: Mitigating Movement Barriers through Landscape Management and Structural Implementation (2022) (0)
Karel Čapek's graphic Britain : a study of the visual intermodernism of Čapek's Letters from England (2021) (0)
Deep Learning-Based Point-Scanning Super-Resolution Microscopy (2021) (0)
Non-blind walls: sensing (and seeing through) decoration in Hungarian schools (2013) (0)

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