Aurélien Géron

1.5k citations
5 papers · 1.1k · 1 hit paper · h-index 2

Impact in

Papers in

Journals
International Linear Collider (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)

In The Last Decade

Aurélien Géron

4 papers receiving 1.1k citations

Aurélien Géron's Hit Papers

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2017 · 1.1k citations
1.1k0+3+6Years since publication2505007501k

Peers

Aurélien Géron
Comparison fields: 5 of 143
  • Artificial Intelligence 198
  • Health Informatics 11
  • Health Information Management 35
  • Computer Vision and Pattern Recognition 84
  • Computer Science Applications 19
Replace Jeff Heaton with:
Jeff Heaton United States
Dan Yamins United States
Taiwo Oladipupo Ayodele United Kingdom
Madeleine Udell United States
Amit Kumar Saxena India
Alejandro Carrasco Muñoz Spain
José Augusto Baranauskas Brazil
John Fulcher Australia
Ammar Ahmed Alkahtani Malaysia
Neha Bharill India
Aurélien Géron relative to Jeff Heaton United States Jeff Heaton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aurélien Géron

Since Specialization
Citations

This map shows the geographic impact of Aurélien Géron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aurélien Géron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Géron more than expected).

Fields of papers citing papers by Aurélien Géron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélien Géron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aurélien Géron. The network helps show where Aurélien Géron may publish in the future.

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All Works

5 of 5 papers shown
#Work
1
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hit paper breakdown →
20171080
2
Hands-On machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems
201923
3
Deep learning avec TensorFlow : mise en oeuvre et cas concrets / Aurélien Géron ; traduit de l'anglais par Hervé Soulard
20171
4
Neural networks and deep learning
20181
5
Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow
20180

About Aurélien Géron

Aurélien Géron is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Artificial Intelligence Applications (4 papers), Machine Learning and Algorithms (2 papers), Machine Learning and Data Classification (1 paper), Data Mining and Machine Learning Applications (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Artificial Intelligence (198 citations), Health Informatics (11 citations), Health Information Management (35 citations), Computer Vision and Pattern Recognition (84 citations) and Computer Science Applications (19 citations). Their work appears in journals such as International Linear Collider and CERN Document Server (European Organization for Nuclear Research).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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