J. Duarte

Fermi National Accelerator Laboratory (US)

Research Areas

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H-index

134

Publications

2024

Citations

91240

i10-index

1106

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
fastmachinelearning/hls4ml: coris	2021	377
Machine Learning in High Energy Physics Community ...	2018	217
The LHC Olympics 2020 a community challenge for an...	2022	154
The Dark Machines Anomaly Score Challenge: Benchma...	2022	111
Physics at the CLIC e+e- Linear Collider -- Input ...	2013	74
Fast inference of Boosted Decision Trees in FPGAs ...	2020	71
FAIR for AI: An interdisciplinary and internationa...	2023	69
Autoencoders on field-programmable gate arrays for...	2022	66
Interaction networks for the identification of boo...	2020	65
Applications and Techniques for Fast Machine Learn...	2022	65

Publications

1.
fastmachinelearning/hls4ml: coris
Year: 2021Citations: 377DOI: 10.5281/zenodo.5680908
2.
Machine Learning in High Energy Physics Community White Paper
Year: 2018Citations: 217DOI: 10.1088/1742-6596/1085/2/022008
3.
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
Year: 2022Citations: 154
4.
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
Year: 2022Citations: 111DOI: 10.21468/scipostphys.12.1.043
5.
Physics at the CLIC e+e- Linear Collider -- Input to the Snowmass process 2013
Year: 2013Citations: 74DOI: 10.48550/arxiv.1307.5288
6.
Fast inference of Boosted Decision Trees in FPGAs for particle physics
Year: 2020Citations: 71DOI: 10.1088/1748-0221/15/05/p05026
7.
FAIR for AI: An interdisciplinary and international community building perspective
Year: 2023Citations: 69DOI: 10.1038/s41597-023-02298-6
8.
Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider
Year: 2022Citations: 66DOI: 10.1038/s42256-022-00441-3
9.
Interaction networks for the identification of boosted <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>H</mml:mi><mml:mo stretchy="false">→</mml:mo><mml:mi>b</mml:mi><mml:mover accent="true"><mml:mi>b</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover></mml:math> decays
Year: 2020Citations: 65DOI: 10.1103/physrevd.102.012010
10.
Applications and Techniques for Fast Machine Learning in Science
Year: 2022Citations: 65DOI: 10.3389/fdata.2022.787421

About J. Duarte

J. Duarte is a researcher with 2024 publications and 91240 citations. They are affiliated with Fermi National Accelerator Laboratory. Their research focuses on . With an h-index of 134, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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Impact Metrics Over Time

Citations per publication by year