Gage DeZoort

Journal of Instrumentation · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Gage DeZoort trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Weijing Shi
2. Martin Ester
3. R. Rajkumar

Who trusts Gage DeZoort overall

1. Guangchen Shi

Papers from Gage DeZoort's perspective

Ordered by how strongly the researchers Gage DeZoort trusts endorse each paper. Same corpus, a different order for every researcher.

1. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2. On robust estimation of the location parameter
3. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
4. An introduction to PYTHIA 8.2
5. Single-top Wt-channel production matched with parton showers using the POWHEG method
6. Efficient identification of boosted semileptonic top quarks at the LHC
7. Natural SUSY endures (Journal of High Energy Physics)
8. Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud (Computer Vision and Pattern Recognition)
9. MadGraph 5: going beyond
10. Model-independent jets plus missing energy searches

Their papers

• Development of the CMS detector for the CERN LHC Run 3 (2023) — 233 citations
• Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC (2021) — 7 citations
• A measurement of the Higgs boson mass in the diphoton decay channel (2020) — 206 citations
• Search for supersymmetry in proton-proton collisions at 13 TeV in final states with jets and missing transverse momentum (2019) — 169 citations