T. Klijnsma
Fermi National Accelerator Laboratory(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Computational Physics and Python Applications
Most-Cited Works
- → Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors(2020)83 cited
- → Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking(2021)71 cited
- → Applications and Techniques for Fast Machine Learning in Science(2022)70 cited
- → Observation of ttH Production(2018)59 cited
- → High-precision $α_s$ measurements from LHC to FCC-ee(2015)42 cited
- → Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers(2021)12 cited
- → Track Seeding and Labelling with Embedded-space Graph Neural Networks(2020)11 cited
- → A Dynamic Reduction Network for Point Clouds(2020)3 cited
- → GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter(2023)2 cited