Luke de Oliveira

1.1k citations
7 papers · 501 indexed · 1 hit paper · h-index 6
Topics
Particle physics theoretical and experimental studies (5 papers)Astrophysics and Cosmic Phenomena (3 papers)High-Energy Particle Collisions Research (3 papers)
Journals
Physical Review LettersSHILAP Revista de lepidopterologíaPhysical review. D
Partner nations
United States

In The Last Decade

Luke de Oliveira

6 papers receiving 495 citations

Hit Papers

CaloGAN: Simulating 3D high energy particle showers in mu...2018202620202023201850100150

Peers

Luke de Oliveira
Comparison fields: 5 of 56
  • Nuclear and High Energy Physics 353
  • Artificial Intelligence 157
  • Computer Vision and Pattern Recognition 70
  • Statistical and Nonlinear Physics 45
  • Radiology, Nuclear Medicine and Imaging 42
Replace M. Paganini with:
M. Paganini United States
Gregor Kasieczka Germany
V. M. Mikuni United States
Anja Butter Germany
Claudius Krause United States
Eric Metodiev United States
Patrick Komiske United States
S. Vallecorsa Switzerland
Johann Brehmer United States
Cristina Rea United States
Luke de Oliveira relative to M. Paganini United States M. Paganini's profile →
Citations per field
00.5×1.6×
M. Paganini · 1×
Citations per year

Countries citing papers authored by Luke de Oliveira

Since Specialization
Citations

This map shows the geographic impact of Luke de Oliveira'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 Luke de Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke de Oliveira more than expected).

Fields of papers citing papers by Luke de Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke de Oliveira. 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 Luke de Oliveira. The network helps show where Luke de Oliveira may publish in the future.

Co-authorship network of co-authors of Luke de Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Luke de Oliveira. A scholar is included among the top collaborators of Luke de Oliveira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luke de Oliveira. Luke de Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 93
2 21
3 142
4
CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networksbreakdown →
195
5 44
6 0
7 6

About Luke de Oliveira

Luke de Oliveira is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 501 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Astrophysics and Cosmic Phenomena (3 papers) and High-Energy Particle Collisions Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (353 citations), Artificial Intelligence (157 citations) and Statistical and Nonlinear Physics (45 citations). Luke de Oliveira has collaborated with scholars based in United States. Frequent co-authors include Benjamin Nachman, M. Paganini, M. Kagan and Lester Mackey. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. D.

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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